I’m a Generative AI/ML Engineer with a solid background in data science and a deepening passion for creating agentic AI systems. My expertise lies in building end-to-end AI solutions that integrate large language models (LLMs), retrieval-augmented generation (RAG) workflows, and multi-agent orchestration to address real-world business challenges.
💡 Core Expertise
Generative AI: LangChain, OpenAI APIs, Claude, AutoGen, LangGraph, Prompt Engineering (CoT, ReAct, RAG, Guardrails), AI-SDK.
Full-Stack AI Applications: Python, SQL, TypeScript, FastAPI, API integrations, Cloud Platforms (AWS, Azure)
Machine Learning: NLP, PyTorch, TensorFlow, computer vision, data engineering, feature engineering, Scikit-learn, MLOps,cloud AI platforms and multi-agent systems.
Data & Embeddings: Tokenization, Embedding generation, Vector Databases (Pinecone, Milvus, ChromaDB,Weaviate, ect.)
Currently, my focus is on designing intelligent agent architectures that combine LLM reasoning, structured retrieval pipelines, and real-time data to deliver scalable, reliable, and high-impact AI systems.
🛠 Open to
AI/ML Engineering,
Agentic System Development,
Full-Stack Generative AI Roles
Driven by curiosity and collaboration, I’m always looking to contribute to innovative products that move AI technology forward.