Aniket Samanta

AI/ML Engineer and Backend Developer with hands-on experience building RAG-based document intelligence systems, scalable REST APIs, and LLM-integrated applications. Proficient in Spring Boot, Python, FastAPI, and vector databases (FAISS, ChromaDB). Passionate about Generative AI, AI Agents, and production-grade backend engineering.

AI/ML Intern - CSIR – Central Building Research Institute (CBRI)

(2026-01 - 2026-05)

• Engineered a RAG-based document intelligence chatbot using FAISS & ChromaDB for semantic search over large-scale structured policy data.
• Designed end-to-end retrieval pipeline: document chunking, embedding generation, and similarity-based search using LangChain.
• Developed RESTful APIs using Spring Boot for query handling, user management, and AI pipeline integration.
• Built a React (Vite) frontend interface; implemented RBAC for secure and scalable access management.
• Created evaluation pipeline over ~3,000 test cases; achieved 90–95% accuracy on scenario-based queries.
• Analyzed failure categories (PAC, analytical, rule-based) for iterative optimization of retrieval quality.

Data Analyst Trainee - IDEMIA India Foundation (CSR Project)

(2024-02 - 2024-06)

• Completed comprehensive data analyst training: Python, SQL, Excel, data cleaning, EDA, and statistical analysis.
• Built dashboards and reports for data-driven decision-making; skilled in all core data analyst competencies.

Master of Computer Applications - MCA - Gurukul Kangri Vishwavidyalaya (2024-08 - 2026-05) Haridwar

Bachelor of Computer Applications - BCA - Greater Noida Institute of Technology (GNIOT) (2021-10 - 2024-06)