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AI Engineer with less than a year in Machine Learning & Data Analysis.
As a Final-year Artificial Intelligence and Data Science undergraduate, I possess a strong foundation in programming, data analysis, and analytical problem-solving. Experienced in developing AI-driven applications, intelligent systems, and data analysis solutions through academic and hands-on projects. Passionate about leveraging Artificial Intelligence, Machine Learning, and data-driven technologies to solve real-world challenges and create impactful solutions. Eager to contribute innovative ideas, continuously learn emerging technologies, and grow in a dynamic and fast-paced professional environment.
Dr, N.G.P. Institute Of Technology, Coimbatore
B.Tech Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
August 1, 2023 – Present
Kendriya Vidyalaya AFS Sulur, Coimbatore
HSC
June 1, 2023 – May 31, 2024
Kendriya Vidyalaya AFS Sulur, Coimbatore
SSLC
June 1, 2020 – May 31, 2021
MAIYYAM'S
Intership program
July 1, 2025 – Present
India
ZGROW pvt Ltd
Internship
June 1, 2025 – June 1, 2025
India
Univariate Exploratory Data Analysis of Mobile App Usage
June 25, 2026 – Present
Interactive Streamlit application for performing univariate EDA and visualizing mobile app usage patterns using statistical and graphical analysis.
SensoGuard - Device & Sensor Health Monitoring System
June 25, 2026 – Present
Sensor monitoring platform that analyzes device health, detects anomalies, and provides alerts to ensure reliability of sensor-based systems.
Solar Tracking System & Soil Moisture Monitoring using IoT
June 25, 2026 – Present
IoT-based smart system that automatically adjusts solar panel orientation based on sun position and monitors soil moisture, providing real-time energy and environmental data through an IoT dashboard.
View ProjectAI Code Explainer (Generative AI Tool)
June 25, 2026 – Present
Generative AI-powered application that analyzes and explains source code in multiple programming languages using Meta Llama 3 through OpenRouter APIs.
AI Resume Generator
June 25, 2026 – Present
Automated resume generation system that converts user inputs from Google Forms into professionally formatted resumes using AI-driven document generation.
Web Scraping Automation
June 25, 2026 – Present
Automated data extraction pipeline that collects structured information from websites using web scraping and Make.com workflow automation.
EV Battery Degradation & Fire Risk Monitoring System
June 25, 2026 – Present
Machine learning and IoT-based monitoring system designed to predict EV battery degradation and detect potential fire risks for improved safety.
AutoPrepAI - Autonomous Data Cleaning & Feature Engineering Agent
June 25, 2026 – Present
End-to-end automated data preprocessing pipeline that performs dataset profiling, intelligent cleaning, feature engineering, and baseline ML evaluation.
DocuSphere - Offline Intent-Aware RAG System
June 25, 2026 – Present
Offline Retrieval-Augmented Generation system enabling document-based question answering with intent detection and accurate information retrieval.
Cultural Fit Analysis
The candidate's academic projects show a diverse range of interests within AI and Data Science, including IoT, Generative AI, and traditional ML. This breadth of exploration suggests an adaptable and curious mindset, which can be a good cultural fit for innovative environments. The internships, though brief and without detailed descriptions of responsibilities, indicate an eagerness to gain industry exposure. The target role of 'AI Engineer' aligns well with the candidate's academic background and project focus. However, the lack of non-academic or collaborative project details limits a deeper assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate lists professional skills such as Problem Solving, Analytical Thinking, Team Collaboration, Project Management, Time Management, Leadership, and Effective Communication. While these are good indicators, the provided data does not offer specific examples or assessments to validate the depth of these soft skills in an operational context. The academic projects suggest some level of problem-solving and analytical thinking, but team collaboration and leadership are not explicitly detailed.