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Aniket Samanta

@aniketsamanta1

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AI/ML engineer building RAG systems and production-grade backend APIs.

India

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What I'm looking for

I’m looking for a role where I can build production-grade RAG/LLM systems and scalable APIs, improve retrieval quality through strong evaluation, and collaborate with engineers to deliver reliable GenAI products.

I’m an AI/ML Engineer and Backend Developer who builds RAG-based document intelligence systems, LLM-integrated applications, and scalable REST APIs. I enjoy turning retrieval pipelines and model outputs into reliable, user-facing features.

Most recently, I engineered a RAG-based document intelligence chatbot for semantic search over large-scale policy data. I built an end-to-end pipeline with document chunking, embeddings, similarity search (LangChain), and RESTful services (Spring Boot), then evaluated performance across ~3,000 test cases.

I’m also production-focused: I containerized full-stack components with Docker/Docker Compose, deployed on AWS EC2, and added secure access via RBAC. I’m eager to keep improving retrieval quality and system robustness while expanding my work in GenAI and AI Agents.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

CSIR - Central Building Research Institute (CBRI)

Jan 2026 - May 2026 (4 months)

Engineered a RAG-based document intelligence chatbot using FAISS and ChromaDB for semantic search over large-scale policy data. Built retrieval and REST API pipelines, containerized and deployed on AWS EC2, and achieved 90–95% accuracy on ~3,000 scenario-based test cases.

RAG Faiss ChromaDB Spring Boot REST APIs Docker AWS EC2 RBAC

Data Analyst Trainee

Idemia India Foundation

Feb 2024 - Jun 2024 (4 months)

Completed data analyst training covering Python, SQL, Excel, data cleaning, EDA, and statistical analysis. Produced dashboards and reports to support data-driven decision-making.

Python SQL Excel Data Cleaning EDA Statistical Analysis Dashboarding Reporting