Registered for Environmental Hacks · Bharat Builds Tour
01 / ABOUT
More thanjust adeveloper.
I’m Shubham, a Computer Science undergraduate exploring full-stack development, combining interactive user interfaces with backend logic and early-stage AI concepts.
My Story
My journey into software development began with curiosity about how ideas turn into real, usable systems. I was drawn to the way code connects logic, design, and user experience into something people can actually interact with.
As a Computer Science undergraduate, I’ve been exploring full-stack development by building projects that combine modern interfaces with supporting backend logic. Along the way, I’ve also started experimenting with applied AI features to understand how intelligent systems can enhance real-world applications.
I’m especially interested in learning how good software balances clarity, performance, and usability. Each project I work on helps me better understand how thoughtful engineering choices shape reliable and scalable products.
Featured
Latest hackathon highlight — Environmental Hacks
RE:GENESIS · E-waste recovery
26 / 30 judges' scoreThe problem I saw: Enterprise hardware still holds recoverable GPUs, RAM, and SSDs, yet most e-waste paths shred first and sort metal later—destroying reuse value and leaving secondary buyers with no trustworthy proof of what was actually recovered.
How I approached it: I built RE:GENESIS as an AWS-native recovery pipeline—upload an interior photo, run hybrid SageMaker YOLO detection with catalog-assisted fallback, audit BOM completeness, rank disassembly with a Reuse Value Score, and issue KMS-signed Second-Life Passports operators can verify on stage.
What was hard: Keeping the demo alive when the vision endpoint was cold or low-confidence, wiring Step Functions so every stage stayed visible and retryable, and shipping a UI that talked to API Gateway without hiding failures behind mocks. Judges pushed on HTTPS for production—a fair tradeoff I documented while focusing the hackathon on depth of execution and tamper-evident passports.
Experience
Project-based work across full-stack, AI, and interaction design.
Technology Executive Intern
Seatrick Innovations Pvt Ltd, Singapore • Maritime Technology • May 2026 - Jul 2026
Singapore-basedMaritime Techproject execution
Supporting testing, analysis, technical coordination, and project execution for digital initiatives serving the maritime technology ecosystem.
Summer Research Intern
Vellore Institute of Technology • Summer Research Internship • 2026
ResearchAnalysisDocumentation
Engaged in research-oriented technical work involving literature study, experimentation, analysis, and documentation while strengthening problem-solving through an academic research workflow.
Frontend Web Developer
NEXUS VIT • Full-time • Aug 2025 - Present
Front-EndReactUI Development
Working on Web development side for club projects, focusing on responsive interfaces, clean component structure, and user-facing web experiences.
Design Department
Microsoft Innovations Club VITC • Full-time • Aug 2025 - Present
DesignFigmaVisual Systems
Contributing to design work for club initiatives, with attention to visual clarity, layout systems, and polished digital presentation.
Education
B.Tech. Computer Science
Vellore Institute of Technology • 2024 - 2028
Currently pursuing a Bachelor’s degree in Computer Science, with coursework covering programming fundamentals, data structures, web development, and software engineering concepts.
Web Design Specialist Certification
Figma • 2025
Focused on clean UI, typography in digital spaces, and advanced prototyping.
Exploring Networking with Cisco Packet Tracer
Cisco Networking Academy • 2025
Built wired and wireless networks using Cisco Packet Tracer & Configured routers, switches, and wireless devices
Introduction to Agile Development and Scrum
IBM • 2026
Kanban board created as part of the Agile Scrum final project, demonstrating end-to-end workflow management using GitHub Projects. The board includes Icebox, Product Backlog and other Reiterative methodologies.
Supervised Machine Learning: Regression and Classification
DeepLearning.AI • 2026
Completed DeepLearning.AI’s Supervised Machine Learning course, covering core regression and classification techniques used to build predictive models. Gained practical understanding of model training, cost functions, gradient descent, and evaluation for real-world machine learning problems.
Toolkit & Interests
React & Next.jsApp Router, Server Components
Render & RailwaysCloud deploys and backend hosting
Tailwind & shadcn/uiFast, consistent interfaces
Hugging FaceModels, datasets, transformers
RAG & AgentsLangChain, LlamaIndex patterns
Vector SearchEmbeddings, pgvector, Chroma
AI EvaluationPrompt tests, quality checks
Supabase & PostgresAuth, RLS, relational data
VercelDeployment, analytics, edge
n8n & ngrokWorkflow automation and local tunnels