Headline

AI & Machine Learning Engineer | LLMs, RAG, NLP | FastAPI, PyTorch, FAISS | Building Production-Ready AI Systems

About

AI & Machine Learning Engineer specializing in LLM systems, Retrieval-Augmented Generation (RAG), and scalable backend architectures. I build production-ready AI systems that solve real-world problems — from enterprise search platforms to multi-agent AI applications. My work focuses on combining machine learning with robust backend engineering to deliver reliable, high-performance solutions. At Mu Sigma, I developed an LLM-powered enterprise search system over 8K+ documents, enabling citation-backed Q&A for analytics teams. By optimizing retrieval pipelines and prompt design, I reduced hallucinations by 25% and improved system reliability in production environments. What I bring: • End-to-end ML system development — from data pipelines to deployment • Strong backend engineering with FastAPI, REST APIs, and microservices • Expertise in LLMs, RAG pipelines, FAISS, and NLP systems • Focus on performance, scalability, and production reliability Tech Stack: Python | FastAPI | PyTorch | FAISS | PostgreSQL | Langchain | Docker I’m actively exploring opportunities where I can build impactful AI systems and contribute to high-performing engineering teams.

Location

Bengaluru

Work experience

Decision science intern at Mu Sigma Inc., Jun 2025 - Present · 11 mos, Bengaluru, Karnataka, India

Machine Learning Intern at Prinston Smart Engineers, Aug 2023 - Sep 2023 · 2 mos, Bengaluru, Karnataka, India, Built a telecom churn prediction model with 90% accuracy using real-world customer data. Automated ETL and feature engineering pipelines, improving data processing by 20%. Performed EDA, hyperparameter tuning, and model validation; cut training time by 15%.

Education

Bachelor of Computer Science, K. S. School Of Engineering and Management

High School, Science, Sri Chaitanya College of Education

Public links

github: https://github.com/Prithvi-ra-j