AI & Machine Learning Engineer building real-world AI systems, research-grade applications, and intuitive dashboards.
Academic excellence and strong foundation
BGS College of Engineering and Technology | 2022 - Present
CGPA: 9.1/10 - Focused on machine learning, deep learning, data analytics, and AI systems development with hands-on project experience.
BGS PU College
Percentage: 94.6% - Excelled in Physics, Chemistry, Mathematics, and Biology with strong analytical and problem-solving skills.
Edu Asia International School
Percentage: 87% - Built strong fundamentals in mathematics, science, and computational thinking.
Real-world AI systems with measurable business impact
Real-time log intelligence dashboard with FastAPI, streaming UI updates, automated summarization, and anomaly detection for live system monitoring.
ML-driven solar performance diagnostic tool that decomposes PV plant losses using predictive models and advanced analytics.
AI-powered strategy simulation platform combining NLP insights with visualization using vector search and embeddings.
Python-based automation tooling repository showcasing process pipelines and modular workflow automation with robust backend logic.
Personal Finance Management System with data analytics, visualization, spending tracking, budget forecasting, and AI insights.
Core competencies across the AI & ML stack
Peer-reviewed contributions to AI research
Springer Nature | ETMIS 2025 (Scopus Indexed)
Led the development of an AI-driven interactive pet system featuring NLP-based dialogue, adaptive behavior modeling, 3D interaction, real-time data synchronization, and multilingual voice capabilities with robust API architecture.
View on LinkedIn →IOSR Journal of Computer Engineering | Vol. 27, Issue 2 (Mar-Apr 2025)
Developed a comprehensive data-driven personal finance platform integrating predictive analytics, automated expense tracking, dynamic visualization, and AI-powered budgeting recommendations to help users achieve financial goals.
View Publication →Building impactful solutions across organizations
Orinson Technologies | Sept 2024 - Nov 2024
Developed predictive ML models for healthcare analytics achieving 88% accuracy and 92% trend prediction. Built a YOLOv5-based detection system with 91% precision for real-world deployment scenarios.
GSSoC 2025 | July 2025 - Oct 2025
Delivered 3+ impactful PRs to large-scale projects like City Pulse and KrishiMitra, enhancing features and system reliability. Built a real-time forecasting module with data analytics, model optimization, and API integration for farmer-centric insights.
Hacktoberfest 2025 | Oct 2025
Contributed 4 high-impact PRs enhancing features, fixing critical issues, and boosting system reliability across Python, ML pipelines, and REST APIs. Improved codebase quality through structured reviews and optimized Git workflows.
Excellence in technical innovation and competition
Winner of ML Ascend Challenge 2025 (Second Edition)
National Level Project Exhibition
Runner-up at SVIT College
ATEMCS Global Hackathon
Professional development and continuous learning
Fundamentals of cloud concepts, AWS core services, security, pricing, and architectural best practices.
Hands-on experience in data modeling, interactive dashboards, and business-focused visual analytics with Microsoft tools.
Strong foundation in Python programming, data analysis, and problem-solving for data-driven applications.
Open to collaborations, opportunities, and innovative projects