S
Available for new opportunities

Sumit Kumar
Shakya

Full-Stack & AI/ML Engineer

I'm a passionate full-stack developer who loves turning complex problems into elegant, user-friendly solutions. From real-time booking platforms to AI-powered analysis tools — I build things that matter.

View My WorkOpen Page BuilderGitHub
2+
Featured Projects
5+
Tech Stacks
∞
Passion to Build
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About Me

Crafting Digital
Experiences

I'm a passionate full-stack developer who loves turning complex problems into elegant, user-friendly solutions. From real-time booking platforms to AI-powered analysis tools — I build things that matter.

My journey spans from building enterprise-grade booking platforms with real-time data to training AI models that understand human sentiment. I love the full spectrum — pixels to pipelines.

Location
India
Focus
Full-Stack + AI/ML
Email
sumit@example.com
Status
Open to work 🟢
Tech Stack
Frontend
Next.jsReactTypeScriptTailwind CSSFramer Motion
Backend
Node.jsPythonSupabasePostgreSQLREST APIs
AI / ML
TensorFlowNLPscikit-learnPandas
DevOps
VercelGit
Featured Projects

Things I've Built

From full-stack platforms to AI pipelines — here are my most impactful projects.

Live

Labor Connect

A full-stack platform connecting verified local service professionals with customers for fast, reliable, and secure bookings.

Labor Connect bridges the gap between skilled local professionals and customers who need them. Built with a modern dark glassmorphism UI, real-time booking system, background-verified worker profiles, Supabase backend, and an admin dashboard with live analytics.

50K+
Active Users
120+
Service Categories
2M+
Successful Jobs
4.9★
Avg Rating
Next.jsSupabaseTypeScriptTailwind CSSFramer Motion
View Live Project
AI/ML

Movie Sentiment Analyzer

An AI/ML pipeline that classifies movie reviews as positive or negative using NLP techniques and a fine-tuned transformer model.

An end-to-end machine learning project that scrapes movie reviews, preprocesses text data, applies TF-IDF and BERT embeddings, and trains a binary sentiment classifier with 94%+ accuracy. Deployed with a Flask API and an interactive React dashboard.

94%+
Accuracy
50K+
Dataset Size
BERT
Model
Python
Language
PythonNLPTensorFlowBERTFlaskReact
Get In Touch

Let's Work Together

Have a project in mind or just want to say hello? My inbox is always open.

Location
India
Find me on
GitHubLinkedInTwitter

UI demo — connect Resend or EmailJS to activate sending.