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AI Engineer with less than a year in Machine Learning & Data Science
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Results-driven B.Tech candidate in Artificial Intelligence & Data Science with hands-on experience in Python, Machine Learning, Deep Learning, and Generative AI. Demonstrated ability to build end-to-end AI/ML pipelines across healthcare, urban mobility, and data quality domains. Completed industry internships with Infosys Springboard and MSME. Seeking an entry-level AI/ML or Data Science role to drive impactful, data-led solutions.
S.A. Engineering College
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Muruga Dhanushkodi Girls Higher Secondary School
Higher Secondary Certificate (HSC)
June 1, 2020 – May 31, 2022
Infosys Springboard (Virtual)
Artificial Intelligence Intern
September 1, 2025 – November 1, 2025
India
Ministry of MSME, Government of India
Python Programming Intern
January 1, 2025 – March 1, 2025
India
TabulaGuard AI - Intelligent Agent for Data Cleaning & Validation
June 1, 2026 – Present
• Built an autonomous AI agent that detects and resolves data quality issues — missing values, duplicates, outliers, and string anomalies — in tabular datasets using statistical and ML techniques. • Reduced manual preprocessing effort by automating end-to-end data validation and generating explainable quality reports with visualizations, improving pipeline reliability for downstream AI/ML applications.
Thermal Image Analysis for Early Detection of Diabetic Foot Ulcers (Deep Learning)
June 1, 2026 – Present
• Engineered a multi-modal deep learning system combining the DiET algorithm for ulcer classification and U-Net for pixel-level segmentation to quantify wound area from thermal images. • Fused thermal imaging with clinical and demographic data using TabNet to predict ulcer risk, supporting early intervention and improving diagnostic planning for medical teams.
Personalized Cooking Guide & Grocery Assistant (Generative AI)
June 1, 2026 – Present
• Developed an AI-powered recipe generation system using a GPT-2 Transformer, producing dynamic cooking instructions and ingredient lists scaled to user-specified serving sizes. • Deployed a full-stack web application with Flask (backend) and HTML/CSS (frontend), enabling seamless user interaction with the generative AI model.
Artificial Intelligence & Machine Learning (4-month course)
GUVI | HCL Technologies
June 1, 2026 – Present
Applied Generative AI Certification
Infosys
June 1, 2026 – Present
Artificial Intelligence Foundation Certification
Infosys
June 1, 2026 – Present
AI/ML for Geodata Analysis
ISRO
June 1, 2026 – Present
Data Visualization Certification
Beeja Academy
June 1, 2026 – Present
No-Code / Low-Code Certification
Zoho
June 1, 2026 – Present
TCS ION Career Edge - Young Professional (Batch 01)
TCS ION Career Edge
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning generative AI for cooking, intelligent agents for data cleaning, and deep learning for medical image analysis, shows a broad interest and adaptability, which is beneficial for cultural fit in dynamic AI teams. The internships, especially the virtual one with Infosys Springboard, demonstrate an ability to engage with industry-relevant projects. The numerous certifications in AI/ML and related fields further underscore a proactive learning mindset. While the experience level is entry-level, the breadth of exposure to different AI applications and continuous learning aligns well with a culture that values innovation and growth.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Project Management, Team Collaboration, Problem-Solving, and Strategic Planning. Participation in an internship with a government body (Ministry of MSME) and an event coordinator role suggests an ability to work within structured environments and manage tasks. The academic achievements (department ranks, 100% attendance) indicate discipline and a strong work ethic, which are positive indicators for operational fit.