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Generative AI Engineer with 3+ years in NLP & Generative AI
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Data Scientist with 3.10 years of experience in Natural Language Processing (NLP) and building production-grade language solutions. Skilled in Python, SQL, Machine Learning, and Generative AI concepts. Experienced in working with structured and unstructured data, building NLP pipelines, and optimizing model performance. Currently upskilling in Generative AI and Large Language Models (LLMs) to build intelligent, production-ready AI systems.
Achariya College of Engineering Technology, Puducherry
B.Tech · Computer Science & Engineering
August 1, 2014 – June 30, 2018
Integra Software Services Pvt. Ltd.
Associate Programmer (NLP Engineer)
October 1, 2018 – August 1, 2022
Puducherry, Puducherry, India
AI Resume Analyser (using LLM)
August 1, 2022 – Present
Developed a multi-agent AI Resume Analyser using LLMs (GPT-40-mini), FastAPI, Streamlit, and prompt engineering for resume screening and candidate evaluation. Implemented document parsing, job-description analysis, and structured ATS-style outputs including skill matching, reasoning, and selection status.
View ProjectSpaceX Falcon 9 Landing Prediction (Machine Learning Project)
August 1, 2022 – Present
Built an end-to-end machine learning pipeline to predict SpaceX Falcon 9 landing success using real-world data collected through APIs and web scraping. Performed EDA, feature engineering, interactive dashboard visualization, and trained classification models (Logistic Regression, SVM, Decision Tree, KNN) with hyperparameter tuning and performance evaluation.
View ProjectAI Resume Assistant using RAG, LangGraph, Multi-Agent Systems, and LLM
August 1, 2022 – Present
Developed a multi-agent AI Resume Assistant using LangGraph, LangChain, RAG, FAISS VectorDB, and Hugging Face LLMs. Built intelligent agents for ATS analysis, skill gap detection, and resume improvement using embeddings and semantic retrieval.
View ProjectIBM Data Science Professional Certificate (Coursera – 12 course series)
IBM / Coursera
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, particularly Generative AI, which directly aligns with the target role. The diversity of projects (NLP, ML, Generative AI applications) indicates a broad technical curiosity and willingness to explore new domains. The self-driven upskilling initiative further supports a proactive and growth-oriented mindset, which is a good cultural fit for innovative tech environments.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and upskilling, particularly in Generative AI, which aligns well with the target role. Their experience in Agile environments and conducting training sessions suggests good collaboration and communication skills. The detailed project descriptions indicate an ability to articulate technical work clearly.