1+ year of professional experience building production-grade AI/ML systems.
I'm an AI Engineer with 1+ year of industry experience, currently working on production Computer Vision, Edge AI, and Intelligent Transportation Systems.
I build AI systems across the complete lifecycle — from model development and optimization to real-time inference, RAG, vector search, AI agents, APIs, and production deployment.
- 🚀 50K+ real-time events/day
- 🎯 95% Computer Vision accuracy
- ⚡ Sub-40ms processing on NVIDIA Jetson
- 🔍 30× faster vector retrieval using FAISS
- 🚗 150K+ forensic queries/day
- 🏆 AIR 1 — Smart India Hackathon 2023
AI / Computer Vision
Python · PyTorch · TensorFlow · OpenCV · YOLOv5/v8 · RT-DETR · ByteTrack · OSNet-AIN · PaddleOCR · Hugging Face
Generative AI / RAG
LLMs · RAG · LangChain · FAISS · BM25 · Hybrid Search · RRF · Agentic AI · Prompt Engineering · Knowledge Graphs
Edge AI
NVIDIA Jetson · TensorRT · CUDA · ONNX Runtime · GStreamer · RTSP
Backend / MLOps
FastAPI · Django · Flask · Docker · Kubernetes · CI/CD · PostgreSQL · Redis · REST APIs · WebSockets
Cloud
AWS · Azure · Google Cloud · Vertex AI
Multi-agent AI platform for smart-city decision making, combining AI agents, digital-twin simulation and explainable AI for risk-based recommendations.
Tech: Gemini · Vertex AI · FastAPI · Next.js · Docker
Local-first document intelligence platform for PDFs, images and web content, featuring hybrid retrieval with FAISS + BM25, RRF, knowledge graphs and LLM-based Q&A.
Tech: Python · FastAPI · FAISS · BM25 · Mistral · LangChain
Real-time vehicle re-identification system using YOLO, OSNet-AIN embeddings and FAISS IVF for high-speed search across surveillance data.
150K+ queries/day · Sub-100ms retrieval · 30× retrieval improvement
Tech: PyTorch · YOLO · OSNet-AIN · FAISS · FastAPI · Docker
Agentic AI system that correlates IoT, camera and audio signals to identify anomalies, validate incidents and generate automated safety responses.
Tech: FastAPI · Agentic AI · RAG · Vector DB · Docker
AI + IoT platform combining smart irrigation, crop-disease detection, predictive analytics and multilingual AI assistance.
🏆 Rank 2 — SPPU Startup Olympiad 2025
Arya Omnitalk Wireless Solutions Pvt. Ltd. · Pune
Aug 2025 – Present
Building production AI systems for Intelligent Transportation Systems.
- Architecting Computer Vision pipelines processing 50K+ events/day
- Deploying and optimizing AI inference on NVIDIA Jetson
- Using TensorRT, CUDA and GStreamer for high-performance edge inference
- Working with YOLOv8, RT-DETR, ByteTrack and PaddleOCR
- Building asynchronous backend and real-time alerting pipelines
- Developing vehicle re-identification and forensic search systems
- Supporting production systems with 95% CV accuracy and 99.9% edge-node uptime
🥇 AIR 1 — Smart India Hackathon 2023 National Champion · Software Edition
🥈 Rank 2 — SPPU Startup Olympiad 2025 JalTantra · AI-powered AgTech platform
🥉 Global Runner-Up — TIAA Global AI Hackathon AI Investment Intelligence Platform
Bachelor of Engineering — Electronics & Telecommunication
Savitribai Phule Pune University
Dr. VVP College of Engineering · 2021 – 2025
First Class
- Deploy Multi-Agent Architectures — Google · 2026
- Introduction to Machine Learning Concepts — Microsoft · 2026
- Engineer AI Agents (ADK) — Google Cloud · 2025
- Career Essentials in Generative AI — Microsoft + LinkedIn Learning · 2024
- Deep Learning Onramp — MathWorks · 2024
- Statistics Onramp — MathWorks · 2024
- Python Programming — GUVI · 2023
- Geodata Processing using Python — ISRO · 2023
I'm interested in AI Engineering, Computer Vision, Generative AI, Agentic AI, RAG, Edge AI and challenging real-world AI systems.
Building AI systems from models to production. 🚀