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Generative AI Engineer with 1+ years in LLM-powered applications & RAG systems.
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Generative AI Engineer with hands-on experience building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and intelligent automation solutions. Proficient in LangChain, FAISS, ChromaDB, prompt engineering, embeddings, vector search, and LLM integration. Strong foundation in machine learning, ETL pipelines, backend development, and deploying production-ready AI applications using Python, FastAPI, Flask, and Streamlit.
Techno India University
B.Sc. · Data Science
August 1, 2022 – June 30, 2025
RAPGURU
Junior Software Developer
January 1, 2026 – Present
Kolkata, West Bengal, India
Jobgenix
Product Analyst
March 1, 2025 – November 1, 2025
Kolkata, West Bengal, India
AI Resume Analyzer RAG
June 24, 2026 – Present
Built an LLM-powered resume analyzer using Retrieval-Augmented Generation (RAG) to compare resumes against job descriptions. Implemented embeddings and vector search with FAISS and ChromaDB, improving semantic retrieval relevance by 40%. Generated ATS-style feedback, missing skill analysis, and personalized recommendations using LangChain and LLM integration. Developed a Streamlit application that reduced manual resume review time by 80%.
View ProjectMachine Learning Regression Web App
June 24, 2026 – Present
Performed data preprocessing, feature engineering, and model training on real-world regression datasets. Evaluated multiple regression models using RMSE, MAE, and R2, improving prediction accuracy by 25%. Deployed the final model as a Flask web application for real-time predictions.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates initiative and a passion for AI/ML, which aligns well with an innovative culture. The blend of academic background in Data Science, practical project work, and professional experience in software development and product analysis suggests a versatile individual. However, the experience is relatively short, and the projects are personal, which might require further validation of collaborative work and enterprise-level development practices. The target role is Generative AI Engineer, and the candidate's projects are highly relevant, indicating a strong interest and foundational skill set in this area.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify problems (resume review time, prediction accuracy) and implement solutions with measurable impact (80% reduction, 40% improvement). Experience as a Product Analyst suggests an understanding of user engagement and data-driven decision-making, which is valuable for developing user-centric AI products. The current role as a Junior Software Developer implies experience in maintaining and developing business applications, indicating operational readiness.