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aniketpoojari/README.md

Hi, I'm Aniket Poojari πŸ‘‹

AI/ML Engineer | Agentic Systems | MLOps

I specialize in building autonomous AI agents, fine-tuning LLMs, and architecting scalable MLOps pipelines. I'm passionate about creating systems that don't just generate text, but reason, reflect, and verify their own outputs.


πŸš€ Featured Deployed Projects

Autonomous Researcher with Self-Reflection.

  • Built with LangGraph to implement a Generate-Critique-Refine loop.
  • Reduces LLM hallucinations by fact-checking claims against real-time web results.
  • Tech: Python LangGraph FastAPI

Multi-task Fine-Tuning on a Single Backbone.

  • Fine-tuned Microsoft Phi-3 using dual LoRA adapters for specialized Code and Docstring generation.
  • Dynamic adapter switching at inference time.
  • Tech: PyTorch DVC MLflow

Intelligent Document Q&A System.

  • Processes PDFs and Websites with structural and table extraction.
  • Built-in monitoring dashboard for latency, cost, and retrieval quality.
  • Tech: LangChain Groq Docker

Latent Diffusion Model from Scratch.

  • Distributed training on AWS SageMaker with DeepSpeed.
  • Optimized for inference using ONNX and TensorRT.
  • Tech: PyTorch AWS ONNX

✍️ Technical Writing (Medium)

I write about the engineering behind my projects. Check out my latest blogs:


πŸ› οΈ Tech Stack

Languages: Python SQL AI/ML: PyTorch LangChain HuggingFace MLOps: DVC MLflow Airflow Cloud/Infra: AWS Docker FastAPI ONNX


πŸ“¬ Connect with me: LinkedIn | Portfolio

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  1. LLM-Eval-Platform LLM-Eval-Platform Public

    Full-stack platform to evaluate, red-team, and A/B test LLM applications with 216 adversarial attacks and statistical rigor.

    Python

  2. Enterprise-AI-Assistant-MCP Enterprise-AI-Assistant-MCP Public

    Production-grade Multi-Modal RAG system for intelligent document Q&A with structural extraction and real-time observability.

    Python

  3. Agentic-AI-Research-Assistant Agentic-AI-Research-Assistant Public

    Autonomous AI research agent using LangGraph to eliminate LLM hallucinations via a Generate-Critique-Refine self-reflection loop.

    Python 1

  4. OmniDoc-QA-LLM-RAG OmniDoc-QA-LLM-RAG Public

    Agentic NL-to-SQL assistant using Model Context Protocol (MCP) with multi-layer guardrails and token cost tracking.

    Python

  5. Fine-Tuning-LLM Fine-Tuning-LLM Public

    Multi-task fine-tuning system using dual LoRA adapters on Microsoft Phi-3-mini for specialized code and docstring generation.

    Python

  6. Text-To-Image-Diffusion Text-To-Image-Diffusion Public

    End-to-end latent diffusion pipeline featuring distributed training on AWS SageMaker, DeepSpeed optimization, and ONNX/TensorRT inference.

    Jupyter Notebook