Software Development
Full-stack products with modern frameworks and cloud infrastructure.
- Frontend
- React, Next.js, TypeScript, Tailwind CSS
- Backend
- Node.js, Express, GraphQL, REST APIs, Microservices
- DevOps
- Docker, AWS, CI/CD, Kubernetes, Git
Twelve months of work, day by day — then the whole career: streaks and code volume, straight from GitHub.
Contribution calendar from 2025-08-03 to 2026-08-05: 296 of 368 days recorded activity, peaking at 55 contributions on 2026-07-15.
I build products end to end. This is who I am, the skills I lean on, and the experience that shaped them.
SDE 2 and team lead at Flo Mattress, building logistics and analytics systems across the stack.
I build end-to-end products where software engineering, data, and applied AI meet. My work spans full-stack platforms, machine-learning delivery, analytics pipelines, cloud deployments, and mentoring engineers. I like difficult systems, measurable outcomes, and software that stays understandable after it ships.
Full-stack products with modern frameworks and cloud infrastructure.
Machine learning, deep learning, and analytics systems in production.
Scalable data infrastructure, pipelines, and storage.
Dashboards and decisions from raw data.
The degrees and certifications behind the work — computer science, information technology, and the gaps in between.
Mumbai University
Data science, machine learning, deep learning, AI agents, business intelligence, social analytics, and time-series analysis.
Rizvi College of Arts, Science and Commerce
Focused on web services and business-intelligence projects.
A short list of things I have shipped. Every entry opens the live build, so you can see it running.
Full-stack · Education
A full-stack learning platform with course discovery, authentication, video lessons, progress tracking, and quizzes.
Stack
Web product · Privacy
Instant disposable inboxes for testing and privacy, with no registration required.
Stack
Applied AI · Careers
An AI-assisted resume reviewer with tailored evaluation, keyword analysis, ATS feedback, and cover-letter generation.
Stack
Six repositories I want you to see, pinned on my profile and fetched live from GitHub.
Minimal, self-hosted URL shortener built with Go, React, and PostgreSQL
RAG-based cognitive bot loop: route, generate, and defend with persona-based arguments
Secure disposable/temporary email service with real-time inbox and dark mode
Disappear on camera using hand gestures — no green screen needed
Agricultural intelligence platform for Indian farmers with AI chat, crop management, and market price analysis
Portfolio of data science projects: ML, NLP, analytics, healthcare, and market research
Pull requests that made it into other people's codebases — accepted, merged, and live upstream.
Notes from building real systems — the decisions, the performance work, and the failures worth writing down.

A practical introduction to descriptive statistics, probability, inference, regression, and Bayesian reasoning with Python examples.
Read on site
Why deploying and maintaining machine-learning models requires the shared practices of data science and DevOps.
A practical tour of sales, customers, inventory, marketing, recommendations, fraud, and supply-chain analytics.
The technical work, collaboration, reporting, and communication that shape a data scientist’s working day.
A guide to statistical, predictive, forward-fill, and backward-fill approaches for handling missing observations.
Every channel that reaches me — plus a message form that lands in my inbox.
// Timezone IST (UTC+5:30). Cold outreach is welcome if it is specific.
exit 0 — that is the whole page. Thanks for reading to the bottom.
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