I'm Nikhil — an ML Engineer who builds AI systems that work in production, not just in notebooks.

Over 3+ years, I've intentionally progressed from data analysis → NLP/ML modeling → full-stack ML engineering across healthcare and e-commerce. That path was deliberate — I wanted to understand not just how models learn, but how they survive in the real world with messy data, latency constraints, and stakeholders who care about outcomes, not architectures.

Currently: Building RAG pipelines over 15K+ clinical records, fine-tuning BERT & Llama via LoRA, and deploying containerized inference endpoints on AWS SageMaker at GWU's Milken Institute School of Public Health.

Previously: Shipped semantic search systems across census datasets, built LangGraph-powered feature engineering agents, deployed demand forecasting models, and built analytics dashboards adopted by 10+ stakeholders.

Completing my MS in Data Analytics at George Washington University (May 2026).

Languages & Core

ML & Deep Learning

GenAI & LLM Tooling

MLOps & Cloud

Data & Databases

Analytics & Visualization

 2022─2024                    2024                         2025─Present
┌──────────────┐     ┌─────────────────────┐     ┌─────────────────────────┐
│  Data Science│     │  Data Scientist     │     │  ML Engineer            │
│  Analyst     │────▶│  (NLP/ML)           │────▶│                         │
│  Cogno AI    │     │  DSSD               │     │  Milken Institute, GWU  │
└──────────────┘     └─────────────────────┘     └─────────────────────────┘
 • Analytics &        • FAISS semantic search    • RAG pipelines (15K+ docs)
   dashboards         • LangGraph agents         • LLM fine-tuning (LoRA)
 • RAG + Pinecone     • PySpark + Databricks     • AWS SageMaker deployment
 • XGBoost forecasts  • Azure OpenAI dashboards  • MLflow + CI/CD pipelines
 • MLOps (MLflow)     • NLP feature engineering  • Containerized inference

• 🔬 Building agentic RAG systems with LangGraph for healthcare research
• 🛠️ Shipping containerized ML endpoints (FastAPI + Docker + SageMaker)
• 📝 Fine-tuning open-source LLMs (Llama, Mistral) via LoRA/QLoRA
• 🎓 Completing MS in Data Analytics @ George Washington University (May 2026)
• 📦 Migrating production projects to public repos — stay tuned

I'm actively looking for ML Engineer, AI Engineer, and Applied Scientist roles. If you're building something interesting with LLMs, RAG, or production ML — let's talk.