Name : Namraa Patel
Degree : B.Tech CSBS — PDEU, Ahmedabad | CGPA: 9.61 / 10 | Graduating: 2028
Stack : Django · DRF · React · PostgreSQL · AWS · Docker · Redis · Celery · DeepLearning · Transformers
Currently : GSSoC 2026 Contributor (A-Tier · Rank #54) · Open Food Facts · Celery| 🏅 | Achievement | Detail |
|---|---|---|
| 🌍 | GSSoC 2026 | S-Tier · Global Rank #54 · 114+ PRs Merged |
| 🤖 | Amazon ML Challenge 2025 | Top 2,500 of 30,000+ participants |
| 🔥 | LeetCode | Rating 2156 · 365-Day Streak · 500+ Problems |
| ⭐ | CodeChef | 4★ Rated |
| 🎓 | Oracle Certified | OCI Generative AI Professional + Data Science Professional |
| 🥇 | Open Source Hackathon | Winner — production features delivered under time pressure |
| 🏁 | Hackout 2025 | Finalist — GreenMint, a blockchain sustainability system |
| 📚 | PDEU CGPA | 9.61 / 10 |
I build scalable backend systems, cloud-native applications, and ML-powered products. My work spans Django REST APIs, AWS serverless architectures, distributed processing pipelines with Celery and Redis, and production open-source contributions used by millions of users globally.
Currently ranked #47 globally (S-Tier) in GSSoC 2026 with 60+ PRs merged — working directly on Open Food Facts, a real production codebase with international maintainers and real code reviews.
"My first open-source PR took 9 commits to get merged. Every one of them taught me something."
🎯 ProfiLens — Full-Stack Career Development Platform
| Problem | Students lack a single platform to track skills, earn verifiable certifications, and generate job-ready resumes |
| Solution | Modular Django platform with gamified learning, MCQ + coding exams, AI-powered resume generation, and a coin-based reward store |
| Architecture | RBAC with Django Auth · Normalized PostgreSQL schema · RE D2B4 ST APIs with ORM optimization & indexing · Async PDF generation via WeasyPrint · Full admin panel · Dark/Light theme |
| Impact | Complete career prep pipeline — roadmap → exam → certificate → resume, all in one session |
| Stack | Django DRF PostgreSQL Python Bootstrap WeasyPrint |
| Links | GitHub ↗ |
☁️ Personal Cloud Assistant — Serverless AWS Application
| Problem | Secure, scalable personal note and file management with zero backend infrastructure to maintain |
| Solution | Fully serverless AWS architecture — notes, file uploads, auth, and monitoring with no EC2 instances |
| Architecture | Stateless REST APIs via Lambda + API Gateway · S3 pre-signed URLs for secure file I/O · DynamoDB note storage · Cognito auth + IAM controls · CloudWatch admin dashboard · React on Amplify |
| Impact | Demonstrates production cloud architecture — horizontally scalable, zero fixed server costs |
| Stack | AWS Lambda API Gateway DynamoDB S3 Cognito Amplify React |
| Links | GitHub ↗ · Live Demo ↗ |
🧠 TeamSense — AI-Powered HR Intelligence Platform (Hackathon)
| Problem | HR teams work across fragmented tools with no unified view of employee engagement, performance, or attrition risk |
| Solution | Full-stack analytics platform that ingests employee data, runs AI-powered analysis, and surfaces insights on one dashboard |
| Architecture | DRF APIs for employee and analytics workflows · Async ingestion pipelines via Celery + Redis · PostgreSQL models for employees, feedback, and meetings · React dashboard · Dockerized deployment |
| Impact | Production-grade backend patterns — async queues, containerization, AI integration — built under hackathon time pressure |
| Stack | Django DRF PostgreSQL Redis Celery Docker React |
| Links | GitHub ↗ |
🎨 Color Classifier — ML Web App · Live Demo ↗
| Problem | No accessible tool to analyze and visualize dominant color distribution in images using ML |
| Solution | Random Forest classifier on a custom-labeled color dataset, deployed as a live Streamlit web app |
| Architecture | Image patching + color histogram feature extraction via OpenCV · Random Forest (scikit-learn) · End-to-end inference pipeline · Streamlit UI with distribution charts |
| Impact | Publicly live ML app — full pipeline from raw image input to classified, visualized output |
| Stack | Python scikit-learn OpenCV NumPy Streamlit |
| Links | GitHub ↗ · Live Demo ↗ |
| Metric | Detail |
|---|---|
| 114+ PRs Merged | GSSoC 2026 repositories + Open Food Facts Explorer |
| GSSoC 2026 — Rank #53 | S-Tier · Top contributor nationally in a competitive open-source program |
| Production Codebase | Open Food Facts — global food database, used by millions, real maintainer reviews |
| Notable PR | Accessibility fix ↗ — keyboard-navigable crop handles for assistive tech users · 9 commits · merged after full review |
▸ GSSoC 2026 — S-Tier · Rank #53 · Contributing to Open Food Facts
▸ Targeting Codeforces Specialist (1600+)
▸ Building production-grade ML projects with real-world datasets
▸ Open to SDE / Backend / ML internships — Summer 2027
"Every wrong answer builds understanding. Every merged PR builds confidence."
⭐ If you find my work useful, a star goes a long way — thank you!