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tusharbeckham/README.md

Full-Stack Developer & Aspiring AI-for-Science Engineer

Bridging Mobile Development and Scientific Machine Learning, with a growing focus on renewable energy and climate tech.

🚀 Flagship Project

🩺 Euexia — Android Health Tracker

A production-grade health app, built solo — React + Vite + Capacitor with a custom native Java foreground service for true background step counting, Supabase cloud sync, and OTA updates.

Private source · public portfolio showcase · Play Store launch in progress.

🌱 Currently Building

  • 🔐 SecureVault — a live DRM & software-licensing platform (demo) (FastAPI · Next.js · PostgreSQL · Razorpay — deployed on Render + Neon + Vercel)
  • 🤖 Alfred — a multi-agent AI assistant deployed on the edge (live demo)
  • ☀️ PhysSolar — evolving my hybrid physics + ML solar forecaster toward a Physics-Informed Neural Network
  • 📐 Deepening Mathematics & Physics for Scientific ML

🛠️ Tech Stack

Frontend & Mobile

React React Native Expo Vite Capacitor Tailwind CSS TypeScript JavaScript Java HTML5 CSS3

Backend & Full-Stack

FastAPI Next.js PostgreSQL SQLAlchemy Alembic Pydantic Docker Razorpay JWT REST APIs

AI & Data Science

Python NumPy Pandas SciPy scikit-learn Matplotlib Streamlit TensorFlow PyTorch Jupyter Hugging Face

LLMs & AI Engineering

Qwen2.5-Coder Unsloth QLoRA LM Studio Kaggle Multi-Agent AI RAG Vector Search

Tools & Platforms

Git GitHub GitHub Actions VS Code Firebase Supabase PowerShell Cloudflare Workers Serverless / Edge Render Vercel Neon

✨ Highlights

  • 🩺 Engineered a native Android foreground service (Java) for reliable background step counting — the engine behind Euexia.
  • 🔬 PhysSolar beats clear-sky and persistence baselines (0.85 / 0.69 skill) over a full year of real hourly data, with a leakage-free forward-chaining backtest.
  • 🤖 Deployed Alfred, a multi-agent AI system, to the edge — streaming RAG chat, persistent memory, and a red-team-tested abuse guard.
  • 🔐 Built SecureVault end to end — JWT + TOTP auth, Razorpay payments with HMAC-verified webhooks, database migrations, and a comprehensive passing test suite.

📈 Learning Journey

A structured 18–24 month path into Scientific Machine Learning — pairing deep technical skills with real domain knowledge in physics and clean energy.

  • Build a physics-informed solar forecasting model — PhysSolar
  • Master the mathematics for ML
  • Deploy a Physics-Informed Neural Network (PINN)

οὐ μόνον μαθὼν ἀλλὰ καὶ παθών τὰ θεῖα

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  1. euexia-react euexia-react Public

    Most React health apps fake background tracking with Google Fit. Euexia doesn't — a custom Java foreground service reads the sensor directly. React + Vite + Capacitor frontend, Supabase sync, built…

    Java 3

  2. solar-forecast solar-forecast Public

    Most solar forecasters throw raw ML at the weather. This one doesn't - a clear-sky physics model + plane-of-array transposition set the baseline, and ML learns only the residual. Beats clear-sky an…

    Python 1

  3. alfred-ai alfred-ai Public

    Retrieval-augmented conversational AI on Cloudflare's edge: SSE streaming, Vectorize RAG, KV-backed memory, and an in-worker abuse guard. The deployed face of my multi-agent, DAG-orchestrated system.

    JavaScript 3

  4. theoria-lab/SecureVault theoria-lab/SecureVault Public

    DRM & software-licensing platform: marketplace, seller tooling, Razorpay payments, hardware-bound license keys, and an admin control plane. FastAPI + Next.js.

    JavaScript 2