Charangan Vasantharajan Chaarangan

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Hi, I'm Charangan 👋

I lead engineering teams that build and ship enterprise AI systems — the kind that actually run in production, across cloud, on-prem, and air-gapped environments.

I'm an Engineering Manager at Iterate.ai, where I lead a 12-member cross-functional team building Generate, our flagship enterprise AI platform. It runs as multi-tenant SaaS and installs air-gapped into regulated industries — the same system in both places, which is most of what makes it hard. We build it alongside IBM, NetApp, Intel, AMD, and HP.

What I Work On

AI platform engineering — RAG, multi-agent orchestration (LangGraph), and document intelligence at production scale, reaching 94% extraction accuracy on the documents that break naive RAG
Deployment everywhere — multi-cloud (AWS, IBM Cloud), on-prem, and edge inference with model quantization (GGUF, INT8/FP16) across Intel, AMD, and NVIDIA. Private document search runs entirely local on an Intel AI PC
Event-driven architecture — Kafka, FastAPI, and Kubernetes at 99.8% uptime and 50,000+ requests/second peak, observed through OpenTelemetry and Prometheus/Grafana
Security and multi-tenancy — tenant isolation, SSO identities resolved to POSIX UID/GID so vector search is permission-filtered before it runs, and sandboxed execution of model-generated code (gVisor/Kata)
Engineering leadership — hiring, mentorship, roadmap, and partnership engineering. I've grown the team from 6 to 12, including 2 tech leads and 2 project managers, and promoted engineers into senior roles

About Me

Before management I spent years as a researcher and ML engineer. I hold an MASc in Electrical & Computer Engineering from McMaster University, where my thesis was a retrieval-focused fine-tuning strategy for scientific documents, and a BSc (Hons.) in Computer Science & Engineering from the University of Moratuwa.

Along the way I've:

🧬 Pre-trained MedBERT, a biomedical language model with 569,000+ downloads on Hugging Face
📦 Released NERP, an open-source Python framework for transformer-based named entity recognition, with 71,000+ PyPI downloads
📝 Co-invented 4 filed US patents in document extraction and multi-agent AI workflows
📚 Published research with 248+ citations across NLP, biomedical NER, and low-resource languages (Tamil, Sinhala)
🖥️ Shipped edge AI to 10,000+ Intel AI PCs through the Intel Software Advantage Program, demoed at the Intel Vision 2024 keynote

Generate has since won AI Product of the Year from both Pinnacle and TMC, and landed Iterate.ai on the CRN AI 100 as a top-20 hottest AI software company.

Let's Connect

Always happy to talk about applied AI, RAG at scale, edge and air-gapped deployment, or building and leading engineering teams. Reach out anytime.

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!

Charangan Vasantharajan Chaarangan

Highlights

Organizations

Hi, I'm Charangan 👋

What I Work On

About Me

Let's Connect

Pinned Loading

Uh oh!