Hi there, I'm Naveen Kumar 👋
I'm a Machine Learning Engineer passionate about designing and deploying intelligent systems at scale.
With 3+ years of experience in finance analytics and applied machine learning, I specialize in:
- Building production ML systems with RAG, LLM integration, and semantic search
- End-to-end ML pipelines from data ingestion to model deployment
- Backend optimization using Flask, FastAPI, and scalable architectures
- AI automation - integrating machine learning into real-world workflows
- Predictive modeling - time series forecasting, classification, and optimization
I believe in writing clean, maintainable code and building systems that actually work in production.
Currently exploring local LLM deployments, advanced retrieval systems, and intelligent automation pipelines.
💡 "Production-ready beats perfect-but-stuck-in-dev" — That's my philosophy.
- Production ML Systems - RAG, semantic search, and intelligent retrieval
- LLM Integration - local & cloud-based LLM deployment and fine-tuning
- API Architecture - designing scalable backend systems with FastAPI & Flask
- Model Deployment - end-to-end ML pipelines with fallback mechanisms
- Data Engineering - ETL pipelines, data quality, and efficient indexing (FAISS, Elasticsearch)
- MLOps & Automation - workflow optimization, batch processing, and intelligent automation
Currently deepening expertise in:
- Large Language Models - fine-tuning, LoRA, prompt engineering, RAG systems
- Semantic Search & Retrieval - FAISS, vector databases, embedding optimization
- Model Optimization - quantization, distillation, inference optimization for edge
- MLOps & Deployment - containerization, model versioning, monitoring & logging
- Advanced Analytics - causal inference, feature engineering, A/B testing frameworks
"Shipping is a feature. Perfect is not."
— My mantra as an ML Engineer
⚡ *"Let's build something intelligent together"* — Open for ML engineering roles & collaborations!