AYUSH THAKUR
3rd Year B.Tech (CSE) student at Netaji Subhas University of Technology
Full-stack developer and AI/ML enthusiast, passionate about building performant, user-focused web apps. Exploring the edge of GenAI, dev tooling, and visual computing.
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EcoMitra NextJS, PostgreSQL, Prisma
Built a dashboard that summarized banking statements and improved insight clarity, used by 50+ users.
Leveraged AI to enhance financial literacy with features including budget tracking, expense categorization, and investment education.

Insights NextJS, PostgreSQL, Gemini/Exa
Developed an AI-powered full-stack search engine with dynamic query classification (Gemini 2.5 + Exa for web search) and intelligent context refinement.
Improved the user experience with source citations and multi-format exports (PDF, Markdown, Word, Text) to support smooth, interactive searching.

Skin Cancer Detection Using EfficientNet PyTorch, EfficientNet, OpenCV
Developed and fine-tuned a deep learning model (EfficientNet-B4) for highly accurate skin cancer (melanoma) detection, achieving 94% accuracy, 96% recall, and a 0.98 AUC on the test set.
Leveraged transfer learning, data augmentation, and Grad-CAM visualization to build a robust and interpretable deep learning model for skin cancer detection.

Innohacks'24 Winner (March 2024) - Built an optimized e-commerce logistics system with polygon-based delivery zones and a fair, buyer-verified review system.
JEE Mains (January 2023) - Achieved 99.44 Percentile with an All India Rank (AIR) of 6572 among 1.1 million candidates.
Web Dev Mentor (Google Developer Student Clubs, NSUT) - Mentored 30+ students in full-stack web dev, led hands-on sessions, and co-built a Next.js + PostgreSQL CMS that streamlined event management and cut manual work by ~50%.
Junior Council (Devcomm, NSUT) - Co-developed a gamified DSA platform to boost coding engagement and helped build Avinya'25's animated, responsive website using React and Framer Motion.