CSE grad from Prayagraj. I build full-stack web apps and ML models — and a few of them are actually live in production, not just sitting in a Jupyter notebook.
Most of my work lives somewhere between Python and JavaScript. I've trained U-Nets for medical image segmentation at MNNIT Allahabad, worked on satellite geodata processing under ISRO, and built REST APIs with Flask and FastAPI that serve real ML models. On the web side, I ship React and Next.js frontends with proper backends — containerized, deployed, talking to each other over HTTP.
Currently looking for my first full-time role. Open to full-stack, backend/Python, ML, or data work — anywhere I can own real things and keep learning fast.
Core Languages Python · JavaScript · SQL · HTML5 · CSS3
Frontend React.js · Next.js · Tailwind CSS · SCSS · Three.js · Framer Motion
Backend & APIs Flask · FastAPI · Node.js · Express.js · REST APIs · Docker · Gunicorn · Uvicorn
ML & Data PyTorch · TensorFlow · Keras · Scikit-learn · PyTorch Geometric · OpenCV · Pandas · NumPy · NLTK
BI & Dashboards Power BI · Tableau · MySQL · Snowflake · Excel · DAX
Deploy Vercel · Render · HuggingFace Spaces · Azure ML Studio · Git
| Project | What it does | Stack | Links |
|---|---|---|---|
| PolypSeg AI | End-to-end medical image segmentation — Flask REST API serving an Attention U-Net (76.81% Dice), Next.js frontend with a 3D hero, both independently deployed | Next.js · Flask · TensorFlow · Docker | Live · Code |
| Digit Recognition App | Draw a digit on a canvas, get a live CNN prediction with confidence scores — FastAPI backend (98.74% val accuracy), React/SCSS frontend | React · FastAPI · TensorFlow · SCSS | Live · Code |
| Personal Portfolio | Built and own it end-to-end — Framer Motion animations, Resend contact form, custom domain, CI/CD from GitHub | Next.js · Tailwind CSS · Framer Motion | Live · Code |
| Analytics Portfolio Site | Standalone vanilla JS site housing all my data projects — no framework, no build tool, just clean HTML/CSS/JS | HTML · CSS · JavaScript | Live · Code |
| Project | What it does | Stack | Code |
|---|---|---|---|
| GNN for Survival Prediction | Titanic dataset modeled as a k-NN graph (891 nodes, 1,200 edges) — Graph Convolutional Network hitting 85% concordance index | PyTorch · PyTorch Geometric | Repo |
| Adult Income Prediction | Full ML pipeline on 48K UCI Census records — Random Forest vs Gradient Boosting vs Logistic Regression, all wrapped into a reusable sklearn Pipeline | Scikit-learn · Pandas | Repo |
| Amazon Sentiment Analysis | 10K Amazon food reviews classified with VADER — 88% accuracy, feature space cut 40% via tokenization | Python · NLTK · VADER | Repo |
| Dashboard | What it shows | Tool | Link |
|---|---|---|---|
| Classic Models Sales | Revenue margins, product line KPIs, and geographic sales distribution from MySQL data | Power BI | Repo |
| Netflix Content Analysis | Content growth, genre trends, and geographic spread across 6,000+ titles | Power BI · DAX | Repo |
| Washington EV Population | EV adoption trends, battery range vs MSRP, county-level distribution across Washington State | Tableau | Live Dashboard |
| Bike Sales Performance | Global bike sales by customer demographics, product categories, and region | Tableau | Live Dashboard |
💡 Replace the
#links with your actual repo/live URLs — they all point to your GitHub profile for now.
| Role | When | |
|---|---|---|
| 🏛️ MNNIT Allahabad — Dept. of CSE | ML Intern — built a U-Net for polyp segmentation, 95.20% precision on 1,500 colonoscopy images | Jun–Jul 2024 |
| 🛰️ ISRO / IIRS Dehradun | AI/ML for Geodata Analysis — satellite imagery processing under India's Dept. of Space | Aug 2024 |
| 📊 Teachnook | Biostatistics Intern — survival prediction with scikit-learn, 0.6942 F1-score | Sep–Oct 2024 |
| 💻 Allsoft Solutions (IBM Business Partner) | Full Stack Trainee — HTML, CSS, JS, Node.js, MongoDB | Sep 2022 |
- Coursera — Machine Learning Pipelines with Azure ML Studio (May 2026)
- Udemy — Data Analysis: SQL, Tableau, Power BI & Excel (May 2026)
- Coursera / UC Davis — SQL for Data Science (Aug 2025)
- Coursera — Getting Started with Microsoft Excel (Jul 2025)
- Accenture / Forage — Data Analytics & Visualization Job Simulation (Jul 2024)
- Great Learning — CNNs, Classification Algorithms, Neural Networks & Deep Learning (2024)
- Google Cloud — Beam ML for Toxicity Detection in Gaming (Nov 2023)
Looking for my first full-time role. I ship things that actually work.