AI Engineer with 1+ years in Machine Learning, Generative AI & Python
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IEEE-published AI/ML Engineer and Indian Patent holder with proven experience designing and deploying Machine Learning pipelines, Generative AI applications, and LLM-powered intelligent systems using Python, TensorFlow, scikit-learn, and Google Gemini API. Skilled in end-to-end ML workflows — data preprocessing, feature engineering, model training, evaluation, and deployment. Experienced in prompt engineering, AI automation, and building data-driven analytics platforms. Targeting AI Engineer, Machine Learning Engineer, Generative AI Engineer, and Data Scientist roles at top-tier technology organizations.
Kalasalingam Academy of Research and Education, Srivilliputhur
B.Tech · Computer Science Engineering (Data Science)
August 1, 2022 – June 30, 2026
Atomic Energy Central School, Anupuram
Higher Secondary (Class XII)
June 1, 2021 – May 31, 2022
Atomic Energy Central School-2, Kalpakkam
Secondary School Education (Class X)
June 1, 2019 – May 31, 2020
Indira Gandhi Centre for Atomic Research (IGCAR)
In-Plant Trainee — AI & Analytics
May 1, 2025 – Present
Madurāntakam, Tamil Nadu, India
YBI Foundation (Remote)
Data Science & Machine Learning Intern
May 1, 2024 – May 31, 2024
India
INGRION: AI-Integrated Blockchain Financial System
March 1, 2026 – March 1, 2026
Designed a programmable blockchain ecosystem with embedded AI/ML modules for intelligent KYC verification, compliance validation, and real-time transaction monitoring - integrating TensorFlow.js for on-chain AI inference at ~9,000 TPS. Implemented hybrid consensus (PoA + regulator nodes) with AI-driven compliance-aware transaction validation; published as Indian Patent (Application No: 202641003058, 2026) confirming original AI-integrated systems research.
Geo-Potential Smart Land Analyzer
December 1, 2025 – December 1, 2025
Architected a full-stack geospatial ML platform that fuses live climate, soil, and satellite data streams with trained Machine Learning models to deliver precision crop recommendations and renewable energy forecasts across 1,000+ land parcels. Built NLP-style structured knowledge retrieval pipelines aggregating multi-source APIs into a unified intelligent system; implemented automated PDF report generation, eliminating 100% of manual land-analysis effort. Deployed interactive Mapbox dashboards visualising multi-layer geodata; published as peer-reviewed research in IEEE Xplore — ICICNIS 2025, pp. 1450–1458 (ISBN: 979-8-3315-1519-5).
Menu Optimisation via AI-Driven Seasonal Food Insights
November 1, 2024 – November 1, 2024
Conducted end-to-end data science analysis across 4 variables — seasonality, regional culture, climate, and demographics — applying statistical modelling and feature engineering to extract actionable menu intelligence. Built an interactive Power BI predictive analytics dashboard visualising seasonal demand trends, regional cuisine patterns, and demographic preferences, enabling data-backed menu planning and marketing strategy.
Auto-Pilot AI Data Visualisation Engine
August 1, 2024 – August 1, 2024
Architected a Generative AI application powered by Google Gemini LLM that autonomously ingests any CSV dataset and produces fully interactive Streamlit dashboards with zero user configuration, leveraging prompt engineering to translate natural-language intent into executable Python visualisation code. Engineered a self-healing AI Agent loop: the LLM autonomously detects runtime errors in generated code, reflects on failure context, and regenerates corrected visualisation logic — achieving near-zero manual intervention and demonstrating core AI Automation and Agentic AI design patterns. Demonstrates production-grade applied Generative AI, LLM-powered code generation, prompt engineering, and intelligent automation — directly transferable to enterprise AI Copilot and AI Agent development.
INGRION: AI-Integrated Blockchain Financial System
Indian Patent
March 1, 2026 – Present
Geo-Potential Smart Land Analyzer
IEEE
December 1, 2025 – Present
Design and Analysis of Algorithms
CodeChef
November 1, 2024 – Present
Database Management System Using SQL
CodeChef
April 1, 2024 – Present
Soft Skills Development
NPTEL
March 1, 2024 – Present
Oracle Cloud Infrastructure 2023 AI Foundations Associate
Oracle University
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong inclination towards cutting-edge AI/ML research and application, including blockchain integration and generative AI. This aligns well with an innovative, research-driven culture. The diversity of projects (finance, geospatial, data visualization) shows adaptability and a broad interest in applying AI solutions across different problem spaces. The pursuit of patents and publications also suggests a strong commitment to contributing to the field.
Soft Skills & Operational Fit
The candidate's project descriptions and academic achievements suggest strong problem-solving abilities, a proactive approach to learning, and a capacity for independent research and development. The focus on automating workflows and creating intelligent systems indicates an operational fit for roles requiring efficiency and innovation. However, direct evidence of team collaboration or stress handling from the provided data is limited.