AI Developer working on LLM apps, RAG, AI agents, and MLOps.

I build practical AI systems with Python, FastAPI, LangGraph, LangChain, vector databases, Airflow, Docker, and cloud deployment tools. I care about retrieval quality, latency, reliability, and clear evaluation.

Open to AI Developer, ML Engineer, LLM application, AI agent, research assistant, and research engineering roles.

• Build agentic workflows and report-generation systems with LangGraph and LangChain.
• Work on RAG and hybrid search over unstructured data with vector and keyword retrieval.
• Support deployable AI services with FastAPI, Docker, Airflow, Kubernetes jobs, and monitoring/debugging workflows.

• Fine-tuned open-source LLMs with PEFT/LoRA and QLoRA.
• Built FastAPI/Docker inference services and CI/CD workflows.
• Worked on latency improvements through quantization and deployment checks.

Personal prototype for medical documentation and imaging workflows.

• Consultation transcription, structured clinical note generation, and report generation experiments.
• Stack: Python, FastAPI, LangGraph, Neo4j, Whisper, Docker.

• End-to-end malicious URL detection pipeline with model training, MongoDB, Airflow, Docker, and deployment workflow.
• Stack: Random Forest, XGBoost, MongoDB, Airflow, FastAPI, Docker, AWS.

• Multi-agent pricing analysis using retrieval, embeddings, and model-assisted reasoning over product data.
• Stack: LLaMA/QLoRA, RAG, Sentence Transformers, ChromaDB, LangChain, Gradio.

Transformer attention experiment with a learnable locality prior.

• Focused on attention distance, training behavior, and perplexity comparison against a baseline.
• Code and report are available in the project repository.

• Languages: Python, SQL, JavaScript
• Backend and MLOps: FastAPI, Airflow, Docker, Kubernetes, GitHub Actions
• ML/DL: PyTorch, TensorFlow, Scikit-learn, Hugging Face, PEFT/LoRA
• LLM systems: LangGraph, LangChain, RAG, vector search, LLM evaluation
• Databases: PostgreSQL, MongoDB, Neo4j, ChromaDB, Weaviate

Microsoft Certified: Azure AI Engineer Associate (AI-102)

• Email: amanagnihotri902@gmail.com
• LinkedIn: https://www.linkedin.com/in/aman-agnihotri004/
• GitHub: https://github.com/its-amann