Building production-grade AI systems and scalable infrastructure
AI/ML Engineer with expertise in building production-scale multi-agent systems, distributed architectures, and full-stack applications. Specialized in Large Language Models, RAG orchestration, and cloud-native infrastructure. Active technical content creator at Cyber Creed with a focus on AI systems, software architecture, and cybersecurity.
Current Focus: Advanced LLM orchestration patterns, agentic AI systems, and distributed computing at scale.
Currently: AI Engineer at Ascendion, delivering for Palo Alto Networks. Previously built an MCP-based intelligent database agent for Mashreq Bank (UAE) at Grey Chain AI.
📍 Based in India · Open to AI / GenAI engineering roles in the UAE (Dubai / Abu Dhabi) — on-site, hybrid or remote.
Languages: Python, RFrameworks: TensorFlow, PyTorch, JAXLLM Stack: LangChain, LlamaIndex, Hugging FaceOpenAI API, Anthropic ClaudeVector DBs: Pinecone, Weaviate, ChromaDB, QdrantMLOps: MLflow, Weights & Biases, DVCData: Pandas, NumPy, Polars, DaskVisualization: Matplotlib, Plotly, Seaborn | Languages: Python, JavaScript/TypeScript, GoFrameworks: FastAPI, Flask, Node.js, ExpressDatabases: PostgreSQL, MongoDB, RedisCassandra, DynamoDBMessage Queue: Apache Kafka, RabbitMQ, Redis StreamsCloud: AWS, Azure, GCPContainers: Docker, Kubernetes, HelmIaC: Terraform, Pulumi, CloudFormationCI/CD: GitHub Actions, GitLab CI, Jenkins |
- Microservices Architecture | Event-Driven Systems | CQRS & Event Sourcing
- Multi-Agent Systems | RAG Orchestration | Prompt Engineering
- Distributed Systems | High Availability | Fault Tolerance
- API Design | REST, GraphQL, gRPC | WebSocket Real-time Communication
A.I.Z.E.N - Multi-Agent RAG Orchestration System
Production-grade intelligent document processing system with advanced agent coordination
Architecture Highlights:
- Multi-agent orchestration using LangChain with custom coordination patterns
- Hybrid retrieval system combining dense and sparse vectors for optimal accuracy
- Distributed task queue with Redis for horizontal scaling
- Real-time streaming responses via WebSocket with backpressure handling
- Observability stack: Prometheus, Grafana, Jaeger for distributed tracing
Tech Stack:PythonLangChainFastAPIPostgreSQLRedisDockerKubernetes
Impact: Achieved 40% improvement in retrieval accuracy with sub-200ms latency at scale
G.A.L.A.C.T.U.S - Distributed AI Infrastructure
Fault-tolerant, horizontally scalable ML inference platform
Key Features:
- Dynamic model serving with A/B testing and canary deployments
- Auto-scaling based on custom metrics (latency, throughput, GPU utilization)
- Multi-region deployment with intelligent request routing
- Circuit breaker pattern for service resilience
Tech Stack:KubernetesIstioTensorFlow ServingAWS EKSTerraform
I regularly write deep-dive technical articles on AI systems, distributed architectures, and software engineering:
- Building A.I.Z.E.N: A Production Multi-Agent RAG Orchestration System
- G.A.L.A.C.T.U.S:
- Demystifying GPT: A Deep Dive into the Architecture of Modern AI
- Unveiling the Duplicity of AI: The Hidden Threat of Backdoor Behaviors in Language Models
- Supercharging Your Terminal: The Sorcery of Zsh on macOS
Creating in-depth technical content on AI, system design, and software engineering:
Recent Videos:
- Prompt, Context, Loop, Graph: How AI Agents Actually Got Built
- Why Your RAG Gives Wrong Answers (5 Culprits) #Shorts
- Why AI Chats Get Slower The Longer You Talk (KV Cache Explained)
- Your RAG Costs $12,000/Month — Fix It #Shorts
- Your Vector Database Doesn't Actually Find the Nearest Match
Focus Areas: AI/ML Systems • Distributed Architecture • Cybersecurity • System Design
I'm interested in connecting with engineers working on:
- Advanced AI Systems - Multi-agent architectures, LLM orchestration, novel AI applications
- Distributed Systems - High-scale infrastructure, real-time systems, performance optimization
- Open Source - Contributing to impactful projects in AI/ML and cloud-native ecosystems
- Research - Applied ML research, system architecture patterns, AI safety
- 💼 Professional Networking → LinkedIn
- 📺 Technical Content → YouTube - Cyber Creed
- ✍️ Deep Dives & Articles → Medium
- 🌐 Portfolio & Case Studies → creatorghost.com
- 📫 Opportunities → Open to consulting, speaking engagements, and senior engineering roles
