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AI Engineer with 1+ years in Machine Learning & Data Science
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Results-driven Data Scientist and final-year Computer Science undergraduate with hands-on experience in machine learning, deep learning, NLP, and computer vision. Proven track record of building and deploying end-to-end AI/ML solutions in enterprise environments, including anomaly detection systems, RAG applications, and market intelligence platforms. Adept at transforming large-scale industrial datasets into actionable insights. Seeking a Data Scientist role to drive data-driven decision-making at scale.
JSS Academy of Technical Education (JSSATE)
Bachelor of Engineering · Computer Science & Engineering
August 1, 2022 – June 30, 2026
St Michael's PU College
Senior Secondary (XII) · Science Stream
June 1, 2020 – May 31, 2022
St Michael's High School
Secondary (X)
June 1, 2019 – May 31, 2020
Aditya Birla Group
Data Science Intern
September 1, 2025 – Present
Bengaluru, Karnataka, India
Nirveonx
Machine Learning Intern
February 1, 2025 – May 1, 2025
India
Unified Mentor
Machine Learning Intern
October 1, 2024 – January 1, 2025
India
Dairy Supply Chain Provenance Platform
June 1, 2025 – December 1, 2025
Developed an AI-powered food adulteration detection system combining Autoencoder neural networks with blockchain technology, achieving 93% detection accuracy on unseen adulteration forms without labelled training data. Implemented unsupervised anomaly detection on raw milk sensor data, enabling identification of 7+ contamination types not present in the training set via reconstruction error analysis. Integrated an immutable blockchain-based audit ledger covering the full supply chain across farmers, processors, and consumers, ensuring tamper-proof traceability.
Student Behavioural Analysis System
June 1, 2025 – June 1, 2025
Built a real-time classroom monitoring system using YOLOv8 object detection, classifying student behaviour into 3 categories (Attentive, Distracted, Disturbing) with 94% mAP on a custom dataset of 8,000+ annotated images. Optimised inference pipeline to run at 28 FPS on standard hardware, enabling practical real-time deployment in live classroom settings. Trained on a custom-labelled dataset using data augmentation techniques, improving model generalisation by 12% over the baseline.
NLP Essentials: Applications to Real-World Problems
Internshala Trainings
June 1, 2025 – Present
Data Driven Machine Learning
Internshala Trainings
May 1, 2025 – Present
Machine Learning
Indian Institute of Technology Madras (IIT Madras)
January 1, 2025 – Present
Career Essentials in Project Management
Microsoft & LinkedIn
November 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a diverse application of AI/ML across different domains (student behavior, supply chain, manufacturing, market intelligence). This breadth of experience, coupled with leadership roles, suggests adaptability and a proactive approach to learning and contributing. The focus on practical, impact-driven solutions aligns with a results-oriented culture. The candidate is still an undergraduate, indicating a strong drive for continuous learning and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations (e.g., unsupervised anomaly detection, real-time object detection). Leadership experience as a Team Captain and involvement in organizing workshops suggest good team collaboration and project management potential. The ability to integrate AI solutions into production environments indicates an understanding of operational challenges and deployment considerations.