R&D Engineer at Kinewell in offshore wind energy. I harness Python and machine learning to turn data into actionable insights, and build full-stack AI software.
Won the NCL+ Award for extra-curricular excellence
Helped Kare AI grow across 5 countries and 3,000+ zip codes, securing 2 major clients
Published 2 peer-reviewed papers (IEEE CCICT 2024, The Grenze Journal 2025)
Filed a patent for the inQuery application management system
Academies
MSc Data Science & AI
Newcastle University
71% Distinction · 2025–2026
BTech CSE (Data Science)
ABES Engineering College, AKTU
70.8% First Distinction · 2021–2025
Featured projects
Side Quests
Featured Side Quest · Computer Vision
AI Grid Captcha Solver
REST API that solves grid-based CAPTCHAs using YOLOv8 object detection and OpenCV OCR, achieving ~95.5% accuracy with sub-2s response times. Containerised with Docker for consistent deployment.
End-to-end churn prediction pipeline trained on SaaS-specific simulated data, reaching a ROC AUC of 0.97 with XGBoost and SHAP-based explanations, plus an interactive ROI simulator estimating up to $3M in retention savings for 100k users.
Voice-to-voice AI assistant that uses sentiment analysis to detect the emotional state of the user and adjusts its responses accordingly, deployed on GCP with a FastAPI backend.