Bridging academic rigor and real-world innovation — IEEE-published researcher, educator, and full-stack engineer seeking to push boundaries at the intersection of AI, medicine, and intelligent systems.
I am a computer science educator, IEEE-published AI researcher, and full-stack developer who believes that the most impactful technology emerges at the intersection of disciplined research and hands-on engineering.
My research mission is to harness deep learning to democratize healthcare diagnostics — starting with AI-driven skin cancer detection. I am pursuing a PhD to deepen this impact, collaborate with world-class researchers, and contribute original science to the global knowledge base.
The United States leads in AI research infrastructure, collaborative culture, and translational impact. I am drawn to programs that bridge fundamental research with real-world deployment — and to mentors who value both rigor and curiosity. I bring not just skills, but perspective.
I believe code should serve science. Whether it's training a U-Net segmentation model or architecting a full-stack web application, my standard is the same: clean, purposeful, and scalable. Research and engineering are two sides of the same coin.
Long-term, I envision building AI systems that operate robustly in low-resource clinical settings across South Asia and beyond — lightweight, explainable models that doctors can trust and deploy on commodity hardware.
Teaching advanced computer science, integrating AI research into curriculum design
CGPA 8.9 — Published two IEEE papers while teaching full-time. Thesis focus: AI diagnostics.
International teams, full-stack development, global project management
Distinguished academic performance. Foundations in software engineering and systems.
Early academic excellence. Top-tier performance across core engineering subjects.
My research sits at the intersection of deep learning, medical image analysis, and computer vision — with a specific focus on making AI clinically useful and accessible.
Developed a two-stage deep learning pipeline combining U-Net architecture for precise lesion segmentation with a lightweight CNN for accurate malignancy classification. Designed for deployment in resource-limited healthcare environments.
Comprehensive systematic review of state-of-the-art methods in dermatological image segmentation. Analyzed over 80 works across traditional and deep learning paradigms, identifying key research gaps and future directions.
Developed a real-time gesture-based virtual drawing application leveraging OpenCV's computer vision capabilities. Enables touchless digital artistry through precise hand-tracking and color-space analysis.
A rare combination of research depth and engineering breadth — from training neural networks to shipping production web applications.
From hotel management systems to creative portfolio experiences — every project is a solution to a real problem, built with production-quality standards.
Full-featured booking and management platform with real-time availability, user authentication, and an admin dashboard. Streamlines hotel operations end-to-end.
Visually immersive creative studio portfolio with smooth animations, masonry gallery layout, and responsive design optimized for performance and aesthetics.
Complete e-commerce solution with product management, cart system, secure checkout flow, and order tracking. Built for scalability and seamless UX.
Volunteer project: built a web application for a Pune-based college NGO, enhancing their online presence and operational efficiency. End-to-end ownership.
Real-time gesture-driven drawing application. Uses hand tracking and color-space analysis for touchless digital artistry. Published in WOS-indexed journal.
Explore the full repository of projects, experiments, academic code, and open-source contributions on GitHub.
Over four years spanning industry engineering, academic education, and research leadership — each role adding a new dimension of perspective.
Teaching advanced computer science subjects with a focus on integrating AI research into pedagogy. Building curriculum that blends academic theory with production-level engineering practice. Continuing active research in medical AI.
Simultaneously taught undergraduate CS courses and pursued M.Tech (8.9 CGPA). Published two IEEE papers. Delivered expert talks on Flutter development and web technologies. Integrated practical development into student-facing workshops.
Full-stack development across international teams spanning multiple time zones. Delivered high-quality web solutions for global clients. Contributed to organic and paid digital marketing. Developed backend APIs using Node.js and PHP with MySQL databases.
Developed scalable web applications using C# and the .NET framework. Collaborated on database architecture with SQL Server. Gained foundational industry experience in enterprise software development and agile workflows.
Core concepts, widgets, architecture, and real-world cross-platform app development best practices
HTML, CSS, JS, React, Figma, MySQL, SEO — full-spectrum value-added course for learners
Wireframing, prototyping, responsive UI — guiding students from concept to production-ready design
Faculty development program in cutting-edge cybersecurity practices
Built digital infrastructure for a Pune college NGO
Guided aspiring developers through challenges and career direction
Whether you're a professor, recruiter, or collaborator — I'd love to hear from you. Open to PhD opportunities, research collaborations, and meaningful conversations.