📧 adityagjadhav46@gmail.com
📱 +91 8830757864
🔗 GitHub: AdityaJ9801 • LinkedIn: aditya-j-27a790269 • Hugging Face: Aditya 757864
About
I build production-ready Generative AI systems and agentic workflows that combine modern LLMs, retrieval (RAG), reasoning modules, and scalable backend APIs. My focus areas include building autonomous agents, efficient RAG pipelines, LLM fine-tuning, and cloud-native deployments (Docker, GCP, Azure). I enjoy turning research ideas into robust systems that run in production.
Core technologies I work with
- Generative AI / Agents: RAG, LangChain, LangGraph, Ollama, MCP/FastMCP, Agent design and evaluation
- LLMs & ML: PyTorch, Transformers, fine-tuning, prompt engineering, Hugging Face
- Backend & APIs: FastAPI, Flask, REST, Microservices, Docker
- Vector & Retrieval: FAISS, Qdrant, Pinecone, semantic search
- Cloud & Infra: GCP, AWS, Azure, Terraform, CI/CD
- Datastores & Tools: PostgreSQL, MongoDB, Weights & Biases, Git
Featured projects (selected)
- agent-starter-pack — Production-ready Generative AI agent templates designed to accelerate launching agentic systems on Google Cloud.
- agents-towards-production — End-to-end, code-first tutorials and blueprints for building production-grade GenAI agents.
- Multilingual-Agentic-RAG — A multilingual Retrieval-Augmented Generation chatbot and RAG pipeline (FastAPI + embeddings + vector DBs).
- MCP-Agent-NLP-ANALYSIS — Autonomous agentic system using LangGraph, Ollama, and MCP servers for planning, retrieval, and tool use.
- graphrag — Modular, graph-based RAG system aimed at structured retrieval and reasoning for domain knowledge.
- AxiomAI — Group project: agentic data analysis platform with PostgreSQL data layer and cloud deployment patterns.
- composio — Integrations library equipping AI agents and LLMs with function-calling adapters and external connectors.
- Medi-Vault-Health-Platform — Secure personal health management platform using AI for document parsing and insights.
- AI-Personalized-Learning-System — Full-stack AI learning platform built with GPT/Ollama, Flask, React and PostgreSQL.
Why these projects?
These repositories showcase my recent work on trending technologies—agentic systems, RAG pipelines, LLM orchestration (LangChain/LangGraph), MCP-based optimization, and end-to-end deployment patterns (Docker, Terraform, cloud providers). If you want to see production-ready patterns, start with the agent-starter-pack and agents-towards-production repositories.
Get in touch
Interested in collaborating or evaluating a project in my repo list? Open an issue on the relevant repository or reach out via email.