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
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.
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.
Artificial Intelligence Foundation Certification
Infosys
June 1, 2026 – Present
Artificial Intelligence & Machine Learning (4-month course)
GUVI | HCL Technologies
June 1, 2026 – Present
Applied Generative AI Certification
Infosys
June 1, 2026 – Present
Data Visualization Certification
Beeja Academy
June 1, 2026 – Present
TCS ION Career Edge - Young Professional (Batch 01)
TCS ION Career Edge
June 1, 2026 – Present
AI/ML for Geodata Analysis
ISRO
June 1, 2026 – Present
No-Code / Low-Code Certification
Zoho
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.