🎯 AI & Python Developer | FastAPI | LangChain | Agentic Systems | Computer Vision | Gen AI
Building Agentic AI systems using LangGraph, LLMs, and FastAPI for intelligent automation and contextual task management.
Advanced LLM observability (Langfuse, Trustcall), Computer Vision with PyTorch, and efficient multi-agent orchestration.
Projects involving AI-powered automation, Computer Vision, and LLM applications (RAG pipelines, chatbots, intelligent agents).
Optimizing multi-agent reasoning and scaling Gen AI workflows using hybrid backend setups.
- 🧠 Agentic AI & Generative AI
- 🖥️ FastAPI + LangChain + Streamlit
- 🤖 Computer Vision (OpenCV, PyTorch)
- 📈 Data automation and backend systems
I’ve solved 300+ LeetCode problems, love building AI-powered tools, and enjoy experimenting with LangGraph agent workflows that think, plan, and act autonomously.
LangGraph | FastAPI | Streamlit | Pydantic | Trustcall | Langfuse
- Built a stateful AI assistant capable of dynamic task execution and reasoning.
- Integrated Langfuse for observability and Trustcall for schema-based data handling.
Python | NLP | Scikit-learn
- Developed a spam classification system using TF-IDF and Naïve Bayes with >90% accuracy.
PyTorch | CNN | Fashion-MNIST
- Built a CNN model to classify clothing images using batch normalization and learning rate scheduling.
| Category | Technologies |
|---|---|
| Languages | Python, JavaScript, SQL, C/C++ |
| Frameworks & Tools | FastAPI, Flask, LangChain, LangGraph, Streamlit, MCP |
| AI/ML & Gen AI | LLMs, RAG Pipelines, Prompt Engineering, Agentic AI, Generative AI |
| Computer Vision | OpenCV, PyTorch, Image Processing, Feature Extraction |
| Data & Automation | Pandas, NumPy, Requests, Data Cleaning, Automation Pipelines |
| Backend & Infra | Docker, Linux, Git, JSON, API Integration |
| Web Tech | HTML, CSS, React |
| Databases | ChromaDB, Milvus, PostgreSQL, MongoDB |
⭐ “Blending Computer Vision, Gen AI, and Agentic Intelligence to craft the next era of smart automation.”