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Software Developer | B. Tech in Electronics and Communication Engineering | NIT Agartala
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Data Scientist
June 16, 2026 – Present
llm-inference-server
May 27, 2026 – Present
This repository provides a compact LLM inference server for HTTP-based text generation with efficient batching, scheduling, and optional streaming. It cleanly separates model loading, request handling, batching, generation, response delivery, logging, and metrics collection.
View ProjectIntelligentQueryEngine
November 21, 2024 – November 22, 2024
An AI-powered query system integrating Google Gemini, Hugging Face embeddings, ChromaDB, MySQL, and LangChain to transform natural language into precise SQL queries. Currently implemented in a notebook environment for experimentation.
View ProjectLow_Level_Design_Python
December 7, 2023 – December 8, 2023
Solutions for Low Level Design problems using Python
View ProjectImageSizeCompresor
March 12, 2023 – August 23, 2023
Web Application which reduces the give given size
View Projectlinear_regression_bostonHousePricing
February 25, 2023 – February 26, 2023
linear_regression_bostonHousePricing — GitHub repository
View Projectmachine_learning
October 15, 2022 – November 23, 2024
This repo contains ML related Projects
View ProjectSamarjitDebnath
November 20, 2021 – September 20, 2025
SamarjitDebnath — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are all personal, indicating self-driven learning and exploration. However, without information on team-based projects or contributions to open source, it's difficult to assess collaboration and cultural fit within a professional team environment. The diversity of projects (web dev, iOS, DSA, ML) shows broad technical interest but might indicate a lack of deep specialization in Data Science without further evidence.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.