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AI Engineer with 1+ years in Machine Learning and Generative AI
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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
Data Science & Machine Learning Intern
May 1, 2024 – May 31, 2024
India
INGRION: AI-Integrated Blockchain Financial System
March 1, 2026 – Present
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 – Present
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 – Present
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 – Present
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.
Indian Patent (Published) — INGRION: AI-Integrated Blockchain Financial System
Patent Office Journal
January 1, 2026 – Present
IEEE Publication - Geo-Potential Based Smart Land Analyzer
IEEE Xplore
January 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 portfolio showcases a diverse range of projects, from blockchain-integrated AI to geospatial analytics and generative AI applications. This breadth of interest and application suggests adaptability and a willingness to explore different domains, which can be a strong cultural fit for innovative teams. The academic background and pursuit of publications/patents indicate a strong learning orientation and a drive for impactful work. The target role of AI Engineer aligns well with the demonstrated skills and project types.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their project work, particularly the 'self-healing AI Agent loop'. Their academic publications and patent application suggest a proactive and research-oriented mindset. The descriptions indicate an ability to work on complex, multi-faceted projects, which aligns with the demands of an AI Engineer role. However, without direct assessment data on collaboration or stress handling, a full operational fit cannot be definitively determined.