AI Research Engineer with less than a year in RAG & NLP systems
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Assessing your cultural and operational fit
AI & Data Science undergraduate with experience developing RAG-based applications, FastAPI backends, and NLP systems using transformer models. Built AI solutions involving semantic retrieval, vector databases, and LLM workflows for industrial automation and research applications. Skilled in Python, Generative AI engineering, backend development, and scalable ML systems.
Karpagam College of Engineering
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
The Frontline Academy
Higher Secondary Certificate
June 1, 2022 – May 31, 2022
The Frontline Academy
Secondary School Certificate
June 1, 2020 – May 31, 2020
ABB
Machine Learning (Hackathon Finalist)
August 1, 2025 – August 15, 2025
Coimbatore, Tamil Nadu, India
KGISL
Artificial Intelligence Intern
October 1, 2023 – November 1, 2023
Coimbatore, Tamil Nadu, India
AI Research Assistant Platform
April 1, 2026 – Present
Developed an AI-powered research assistant platform that enables users to upload PDF documents and interact with them through Retrieval-Augmented Generation (RAG) based querying. Implemented a LangChain-driven retrieval pipeline using ChromaDB for vector storage, semantic chunking, embedding generation, and contextual document retrieval. Developed scalable REST APIs using FastAPI for document ingestion, embedding processing, and query handling, and integrated a React frontend for real-time interaction.
PLC Code Genius: AI-Powered Industrial Automation Assistant
October 1, 2025 – Present
Developed an AI-powered industrial automation assistant that converts natural language instructions into IEC 61131-3 compliant PLC Structured Text and Ladder Logic code using Retrieval-Augmented Generation (RAG). Built a semantic retrieval pipeline using Sentence Transformers and ChromaDB for context-aware PLC code generation, improving retrieval relevance and response quality.
Salesforce Trailhead (Innovator Level)
Salesforce
May 1, 2026 – Present
IEEE International Conference (ICESIC 2026) – Paper Presenter
IEEE
March 1, 2026 – Present
Qlik Sense Business Analyst Qualification
Qlik
October 1, 2024 – Present
Generative AI with Copilot in Bing
Microsoft
April 1, 2024 – Present
Python for Data Science – Guvi
Guvi
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and hackathon participation demonstrate a strong interest in cutting-edge AI technologies and a proactive learning attitude. The diversity of projects, from industrial automation to research platforms, indicates adaptability and a broad interest in AI applications. This aligns well with a culture that values innovation and continuous learning. The target role of AI Research Engineer is well-aligned with the candidate's demonstrated skills and interests.
Soft Skills & Operational Fit
The candidate's resume highlights 'Communication, Analytical Thinking, Team Collaboration' as soft skills. Project descriptions suggest an ability to work on complex, multi-component systems, which aligns with operational requirements for an AI Research Engineer. The hackathon finalist achievement also points to a results-oriented approach.