3rd Year · CS & Data Science

Building intelligence,
one algorithm at a time.

I'm Ria — software engineer & data science enthusiast. I craft ML models, full-stack tools, and AI products that solve real-world problems.

Python · ML Data Science Full-Stack AI Engineering AWS · Docker
GitHub → 📄 Resume
📍 New Delhi, India 🎓 B.Tech CS + DS @ Manipal University Jaipur 🔭 3rd Year · 2024–2028

About me

I'm a third-year Computer Science & Data Science student passionate about the fusion of data, design, and intelligent systems. I've completed virtual experience programs at Deloitte, Quantium, and J.P. Morgan, gaining exposure to how real-world teams turn raw data into actionable decisions.

From mood-based reading platforms deployed on AWS to fraud detection with graph neural networks, I love building end-to-end solutions that push the boundaries of what a student project can be. Currently building WYA and Luna — a two-repo AI fashion platform with a production FastAPI backend and a conversational React frontend — alongside TryOn, a garment cutout and outfit-building tool, and Velaris, an AI jewellery design tool, unified under Atelier, a fashion tech hub linking all of them.

Tech Stack
PythonTypeScriptJavaCSQL ReactFastAPINode.jsExpressFlask PyTorchScikit-learnPandasNumPy DockerAWS S3CloudFrontEC2SageMaker GitHub ActionsSQLite
Areas of Interest
Machine Learning Generative AI Data Engineering MLOps Graph Neural Networks
Languages
English (Native) Hindi (Advanced) Malayalam (Beginner)

Work Experience

Data Science & Analytics Intern
Future Interns — Remote
Oct 2025 – Dec 2025
End-to-end data analysis on e-commerce datasets; delivered actionable insights and interactive dashboards that improved customer retention strategies.
Virtual Programs & Simulations
The following are structured virtual experience programs (via Forage) completed independently — not employment positions.
Software Engineering Job Simulation
J.P. Morgan · Forage
Jul 2025
Built financial data tooling prototypes, worked with real-world engineering workflows, and strengthened software development best practices.
Data Analytics Virtual Experience
Quantium · Forage
Jun 2025
Analyzed retail transaction data to uncover purchasing trends and communicate strategic recommendations to stakeholders.
Data Analytics Virtual Experience
Deloitte · Forage
Jun 2025
Prepared, modeled, and visualized data for business storytelling — certified for excellence in data-driven problem solving.

Featured Projects

✦ Fashion Tech Hub · Unified Launcher
Atelier — Fashion Tech Hub
A single landing page tying together my fashion and style AI projects — WYA (wardrobe intelligence), Luna (conversational stylist), TryOn (3D avatar preview), and Velaris (AI jewellery design). No shared backend or session — each app keeps its own auth, Atelier is purely the front door. Static site with a custom pink-to-teal gradient identity, deployed on GitHub Pages.
Static Site HTML/CSS GitHub Pages Design System
Full-Stack AI + AWS Cloud + Computer Vision
WYA — What's Your Aesthetic?
Full-stack wardrobe intelligence platform. Users upload garments and a two-tier pipeline — AWS SageMaker (FashionCLIP) for zero-shot classification + a local rule-based fabric classifier — auto-tags every item with category, color, fabric, and pattern. A Style DNA quiz maps aesthetic preferences to a style vector that drives outfit matching, gap analysis, and sustainability scoring. Production FastAPI backend on AWS EC2 behind CloudFront, rate-limited AI endpoints, JWT auth, and 47 automated tests.
React TypeScript FastAPI Python Docker FashionCLIP · SageMaker AWS EC2 · S3 · CloudFront GitHub Actions CI/CD SQLite
Conversational AI · WYA Integration
Luna — Conversational AI Stylist
A chat interface that lets you talk to your wardrobe in plain English. A regex-based intent classifier routes structured queries — outfit suggestions, wardrobe search, gap analysis, style explanation — to the right WYA API endpoint, while open-ended fashion questions fall back to an OpenRouter LLM chain with the user's real wardrobe passed in as context. Own FastAPI server (Docker, EC2), separate CloudFront deployment, JWT auth shared with WYA.
React TypeScript FastAPI Powered by WYA API Intent Classifier OpenRouter LLM Fallback AWS EC2 · S3 · CloudFront Docker
Computer Vision · Currently Building
TryOn — Build, Compare, and Perfect Outfits
Turns any clothing screenshot — Pinterest, Instagram, a store listing — into a transparent garment cutout via rembg, auto-categorizes it with a FashionCLIP zero-shot classifier ported from WYA, and fits it onto a 2D paper-doll or a rigged 3D mannequin using MediaPipe BlazePose landmarks and thin-plate-spline warping. Users build, save, and compare full outfit combinations, then export a finished look as a shareable magazine-style card. FastAPI backend with 69 tests at 86% coverage, run against the real CV models rather than mocks.
React TypeScript FastAPI rembg · MediaPipe FashionCLIP React Three Fiber SQLite
Generative AI · Currently Building
Velaris — From Inspiration to Jewellery Design
An AI-powered jewellery design tool that turns a text description, a rough sketch, or an inspiration photo into a professional concept render, a structured specification sheet (type, metal, stone, cut, style, setting, occasion), and an exportable PDF design brief a jeweller can quote and manufacture from. Built to close the gap between a customer's vague idea and a jeweller's workflow — cutting down the back-and-forth of draft revisions before a single piece is made.
React Generative AI · Image Generation Spec Sheet Generation PDF Export
Full-Stack + Cloud
BookNest+
Smart personalized reading platform to discover, track, and manage books — powered by mood, behavior, and reading analytics. Features a custom DRPA recommendation engine, EPUB reader, book-to-movie mode via TMDB. Deployed on AWS with full CI/CD pipeline.
TypeScript React Node.js AWS S3 · CloudFront · EC2 Docker Recommendation AI
Machine Learning · FinTech
Bitcoin Fraud Detection
Advanced fraud detection using Graph Neural Networks (GATv2) on the Elliptic Bitcoin dataset. Features a MetaEnsemble stacker, heterophily-aware readout, NT-Xent contrastive loss, and exceeds published EvolveGCN baselines on AUC and F1.
GNN · GATv2 Python PyTorch Geometric XGBoost
NLP Pipeline · Text Style Transfer
FlowWrite — NLP Text Style Transfer Pipeline
Multi-pass NLP pipeline that rewrites text to match natural human writing patterns. Combines spaCy chunking, SBERT semantic similarity for candidate ranking, and a local LLM (llama3.2 via Ollama) for rewriting. A custom Human Likeness Score (HLS) evaluates outputs across burstiness, readability, coherence, and semantic preservation.
NLP Pipeline Python FastAPI spaCy SBERT Ollama · llama3.2 AWS S3 · CloudFront
Machine Learning
Smart Resale
ML model predicting fair resale prices for used phones and laptops. Covers data preprocessing, feature engineering, and model evaluation with Pandas, NumPy, and Scikit-learn.
Machine Learning Python Scikit-learn

GitHub Activity

Live from the GitHub API — updates automatically as I push new code.

Repositories
Total Stars ⭐
Total Forks
Top Languages
Recent Repositories
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Education & Certifications

BTech — Computer Science & Data Science
Manipal University, Jaipur
2024 – 2028

Certifications

IBM Data Analyst
Google IT Automation with Python
Google Data Analytics
Meta Data Analyst with GenAI
Programming in Java — NPTEL

Research & IP

Integrated Greywater Monitoring Device with Sensor-Based Testing and AI-Driven Reuse Recommendations
Patent Application Filed  ·  Ref. TEMP/E-1/75041/2026-DEL  ·  Co-inventor with Mitakshi Sinha  ·  Manipal University Jaipur, 2026
Application Filed · Examination Pending

📝 Recent Learnings

Solving LeetCode problems regularly — focused on arrays, graphs, and dynamic programming. View profile →

Get in Touch

📢 Actively Seeking Summer 2026 Internships

Software Engineering · Machine Learning · Data Science

📍 Available for remote or on-site roles (India)

✉️
Email
0304RIAS@gmail.com
⌨️
GitHub
github.com/ria0304
🔗
LinkedIn
ria-s-471902330
📄
Resume
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