Professional Summary
Generative AI & Computer Vision Engineer with 2+ years of experience building multimodal AI systems (LLMs/VLMs, RAG) and 3 years experience in Deep Learning based computer vision. Authored 340+ technical articles and courses bridging cutting-edge research with real-world applications. Passionate about deploying generative AI to accelerate creative workflows in gaming.
Core Skills
Generative AI
LLMs (Phi, Whisper)
Vision-Language Models
RAG Systems
Image Generation
Frameworks
PyTorch
TensorFlow
Hugging Face
LangChain
ONNX
Technical Domains
Multimodal AI
Computer Vision
Model Optimization
Agentic Workflows
Professional Experience
Indegene — Lead SWE (GenAI & LLMs)
Apr 2025 – Present- Slashed API costs by 98.2% by optimizing in-memory context from 2M to 36k tokens.
- Architected an agentic workflow enabling code execution and dynamic UI visualization (graphs/charts) for healthcare solutions.
- Built tools for real-time data interaction using generative AI.
- Built MCP (Model Context Protocol) server for Excel reasoning integrated with GPT and Claude APIs.
- Converted existing FastAPI server architecture to MCP server for enhanced AI agent capabilities.
OpenCV University — Technical Lead, AI Education
Feb 2021 – Apr 2025- Led development of 4+ courses on deep learning and computer vision, used by developers and engineers globally.
- Engineered multimodal RAG pipelines (text/vision/audio) and demo apps for CLIP-based semantic search and Whisper transcription.
- Collaborated with product/marketing teams to align AI education with industry needs.
DebuggerCafe.com — Author & Consultant
2020 – Present- Published 340+ tutorials on generative AI, RAG, and computer vision with reproducible code.
- Designed quantized CV models for low-compute environments and real-time video analysis pipelines.
Key Projects
Multimodal AI Library
Integrated CLIP, SAM, and Molmo for NLP-guided image segmentation.
Local RAG System
Built a Python-based Q&A tool using Sentence Transformers + Phi and custom vector search.
Vision Transformers Library
Created pip-installable ViT/Swin/DETR implementations.
Object Detection Toolkit
Developed modular training scripts for Faster RCNN (PyTorch).
Education
B.Tech, Information Technology
2016-2020
CGPA: 8.61/10
Technical Presence
- 340+ Articles on LLMs, VLMs, generative AI, and deep learning (DebuggerCafe.com).
- Open Source: GitHub repositories for RAG, vision transformers, and AI tools.
