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Presentation
About Me: I am a Senior AI/ML Engineer with 6 years of professional experience in building production-ready AI systems. My expertise lies at the intersection of Generative AI (LLMs) and Computer Vision, with a deep focus on creating autonomous, agentic workflows that solve complex business logic challenges. I specialize in moving AI projects from "proof of concept" to "production-grade" systems deployed on AWS cloud environments.
What I Offer:
Agentic AI Orchestration: I design and implement sophisticated multi-agent systems using LangGraph and LangChain. Whether it’s building self-correcting RAG pipelines or autonomous research agents, I focus on creating systems that handle state, memory, and tool-calling with high reliability.
Advanced RAG Pipelines: Beyond basic chat-with-pdf, I build robust Retrieval-Augmented Generation systems featuring semantic search, hybrid re-ranking, and episodic memory to minimize hallucinations and maximize context accuracy.
Computer Vision & Multimodal AI: Leveraging my extensive background in YOLO (v4-v11) and OCR (CRAFT/CRNN), I build systems that can "see" and "reason." My experience includes developing European-standard ANPR systems and complex object detection models for industrial use cases.
Full-Stack ML Engineering: I don’t just write models; I build the infrastructure around them. My service includes developing high-performance APIs with FastAPI, containerization with Docker, and scalable deployment on AWS (EKS, Lambda, Bedrock).
Key Technical Stack:
LLMs & Agents: OpenAI, Claude, Llama 3, LangGraph, LangChain, CrewAI.
Machine Learning/CV: PyTorch, TensorFlow, Scikit-Learn, YOLO, OpenCV.
Backend & Cloud: Python, FastAPI, SQL/PostgreSQL, AWS (Bedrock, Sagemaker, EKS), Docker, CI/CD.
Why Work With Me? I have a proven track record of delivering high-impact solutions, such as clinical decision support agents and automated detection systems for global logistics. I pride myself on clean, maintainable code and a "builder’s mindset" that prioritizes solving the actual business problem over just implementing the latest tech trend.
What I Offer:
Agentic AI Orchestration: I design and implement sophisticated multi-agent systems using LangGraph and LangChain. Whether it’s building self-correcting RAG pipelines or autonomous research agents, I focus on creating systems that handle state, memory, and tool-calling with high reliability.
Advanced RAG Pipelines: Beyond basic chat-with-pdf, I build robust Retrieval-Augmented Generation systems featuring semantic search, hybrid re-ranking, and episodic memory to minimize hallucinations and maximize context accuracy.
Computer Vision & Multimodal AI: Leveraging my extensive background in YOLO (v4-v11) and OCR (CRAFT/CRNN), I build systems that can "see" and "reason." My experience includes developing European-standard ANPR systems and complex object detection models for industrial use cases.
Full-Stack ML Engineering: I don’t just write models; I build the infrastructure around them. My service includes developing high-performance APIs with FastAPI, containerization with Docker, and scalable deployment on AWS (EKS, Lambda, Bedrock).
Key Technical Stack:
LLMs & Agents: OpenAI, Claude, Llama 3, LangGraph, LangChain, CrewAI.
Machine Learning/CV: PyTorch, TensorFlow, Scikit-Learn, YOLO, OpenCV.
Backend & Cloud: Python, FastAPI, SQL/PostgreSQL, AWS (Bedrock, Sagemaker, EKS), Docker, CI/CD.
Why Work With Me? I have a proven track record of delivering high-impact solutions, such as clinical decision support agents and automated detection systems for global logistics. I pride myself on clean, maintainable code and a "builder’s mindset" that prioritizes solving the actual business problem over just implementing the latest tech trend.
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Background
Machine Learning Engineer II
Data Scientist
Data Analyst
Machine Learning Engineer
Backend Developer
B.Tech
8.65/10
🇬🇧English
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