Building Solutions Through Code & Curiosity
MCA Student · Developer · Analyst
Not just a developer.
I treat engineering like applied science. Every project starts with a problem, not a feature list.
I approach engineering problems like a researcher: define the question, form a hypothesis, run the experiment, measure results.
My current focus is on systems that sit at the intersection of data, language, and product — tools that make information useful, not just accessible.
When I'm not building, I'm breaking things to understand how they work.
Systems thinker
I map dependencies before writing a single line. Complexity is managed, not feared.
Data-driven
Gut feelings get a hypothesis. Hypotheses get experiments. Experiments get measured.
Finish-line focused
Features ship when they solve the problem they were built for — not before, not after.
Curiosity-led
The best projects started as "I wonder if..." Most of mine still do.
Tools that I used / learning.
Projects
Each project is an experiment. Here's what I tried, what worked, and what I'd change.
Dooars Tutors
A location-based platform to discover tutors, coaching centers, and trainers
Grounded — Discipline & Consistency Platform
AI-powered accountability app that rewards consistency through real-world challenge completion
Face Gesture Controller
Hands-free reels control using real-time gesture and facial expression detection
FamSpace – Offline-First Family Digital Vault
Secure, hierarchical file manager for organizing family data
Muse Mart — E-Commerce Platform
Full-stack musical instruments marketplace with real-time trending insights
Portfolio Website
Showcasing my work and skills in a modern, responsive design
NDVI–LST Multi-Temporal Analysis (Manipal)
Assessing vegetation–temperature dynamics in a monsoon-driven coastal environment
South Lhonak Glacier Health Assessment
Analyzing glacier velocity and health post-Teesta flood hazard in Sikkim
Moreover: Trying not to be the best, but be someone to Contribute, Try again.
Deep dives.
Selected experiments with a full breakdown — problem to post-mortem.
Dooars Tutors
A location-based platform to discover tutors, coaching centers, and trainers
Students in local regions struggle to find reliable tutors with proper filtering, verified profiles, and location-based discovery. Existing solutions are either unstructured or lack real-time search and mapping features.
A full-stack platform with advanced search, location integration, and structured tutor profiles can significantly improve discoverability and user experience for both students and tutors.
Built using Next.js 16 (App Router) for frontend, Node.js + Express for backend APIs, MongoDB Atlas for data storage, and Upstash Redis for caching. Integrated Google Maps for location-based discovery, Cloudinary for media handling, and implemented JWT authentication with access and refresh tokens.
A scalable, production-ready platform with fast search, map-based tutor discovery, and optimized performance using caching and modern deployment practices on Vercel and Render.
Introduce real-time chat between students and tutors, AI-based tutor recommendations, mobile app integration, and enhanced analytics dashboard for tutors.
How I got here.
Not a resume. A log of what I learned — in order.
MCA — Master of Computer Applications
Manipal Institute of Technology, Karnataka, India.
Asian Development Research Institute (ADRI) — Research Intern
Worked on the project "Building upon IHIP-IDSP strengthening surveillance system in Bihar" under department of health, government of Bihar..
Part-time Development Role at SH1ELD Tech
Contributed in Sikkim's local tourism by developing personalized web-applications.
Joined SH1ELD Tech Infosec Solutions (Internship)
Got my first internship and participated in real-world projects.
Bachalor's of Computer Applications
Sikkim Manipal Institute of Technology, Sikkim, India.
Higher Secondary (Class 12)
MC William Higher Secondary School, West Bengal, India.
Things I haven't built yet.
Ideas in progress, shelved experiments, and future directions.
Code Review Copilot
A GitHub bot that summarizes PRs, flags complexity hotspots, and links to relevant docs.
Code review is a high-value but time-consuming ritual. Automation should handle the boring checks so humans focus on architecture.
Live Interview Prep Engine
Adaptive DSA problem recommender based on your weak pattern history.
Spaced repetition is well-studied but rarely applied to coding interviews. Pairing forgetting curves with difficulty ramps should accelerate mastery.
API Contract Drift Detector
CI tool that diffs OpenAPI specs between releases and flags consumer-breaking changes.
API versioning failures are expensive and quiet. Most teams find out when prod breaks, not before.
Self-Hosted Reading Tracker
Notion-free book notes with highlight extraction from Kindle and Kobo.
Kindle highlights rot in the cloud. The knowledge you capture should live where you can search it without a subscription.
Let's work on something.
Open to interesting problems — freelance, collaboration, or full-time roles.
Built with Next.js · Tailwind CSS · Framer Motion
Subhadeep Dhar · 2026