"I engineer intelligent, adaptive systems at the intersection of Reinforcement Learning, Autonomous Multi-Agent architectures, and scalable Full-Stack engineering."

I am a Software Engineer and AI/ML Researcher focused on developing resource-efficient machine learning algorithms for real-world constraints and high-throughput web applications. My work spans from Edge Reinforcement Learning for energy-harvesting IoT networks to Autonomous Agent Systems and Semantic Synthesis Engines.

• 🔬 Reinforcement Learning & Edge Intelligence — Developing resource-constrained RL policies (TinyRLAM, Q-Learning, PPO) capable of running on low-power microcontrollers and EH-WSNs without cloud dependency.
• 🧬 Bio-Inspired Computing & Gym Environments — Simulating organoid intelligence and neural-computational dynamics for reinforcement learning benchmark environments (Organoid-Intelligence-gym).
• 🤖 Agentic AI & Semantic Intelligence — Building autonomous multi-agent pipelines (Healthcare Agent, Abstractify) combining LLM reasoning chains, graph-based citations, and structured extraction.
• 💻 Full-Stack Architecture & Systems — Engineering resilient, modern web platforms utilizing TypeScript, React, Next.js, Node.js, Express, and MongoDB/PostgreSQL.
• 🌿 Green & Sustainable Computing — Benchmarking energy footprints and compute efficiency in neural network architectures (Green-AI).

🔬 TinyRLAM Resource-Efficient Reinforcement Learning Agent for EH-WSNs An embedded Reinforcement Learning framework engineered for autonomous, adaptive energy management in energy-harvesting wireless sensor networks. Features lightweight on-device state-action evaluation, zero-overhead policy adaptation, complete evaluation suites, and academic paper artifacts.	🧠 Abstractify AI-Powered Academic Synthesis & Citation Intelligence Platform Open-source research intelligence platform transforming static scientific papers into interactive citation networks with hybrid semantic search, structured extraction, consensus mapping, and automated meta-analyses.
🧬 Organoid Intelligence Gym Biological Neural Computing & RL Simulation Environment A specialized reinforcement learning gym environment and benchmarking suite designed to model in-vitro biological neural networks, organoid computing dynamics, and hybrid biological-computational interfaces with Dockerized reproducible testbeds.	🏥 Healthcare Agent Autonomous Multi-Agent Clinical Validation & Quality Engine A production-grade multi-agent pipeline designed for automated healthcare provider verification, NPI registry validation, data enrichment, automated anomaly auditing, SQLite persistence, and interactive Streamlit quality dashboards.
⚡ NeuroGAN Deep Generative Adversarial Network for Synthetic Vision Neural synthesis framework exploring custom adversarial architectures for high-fidelity synthetic image generation, latent space interpolation, and loss stabilization in deep computer vision training.	🏔️ Rockfall AI / Rocksure API Geotechnical Hazard Prediction & Risk Analytics Backend Scalable machine learning backend providing real-time hazard assessment and predictive risk scoring for geological terrain and rockfall hazards via high-performance RESTful APIs.
🎨 SmartSlate Interactive Infinite Canvas & Digital Whiteboard Engine High-performance web whiteboard built with hardware-accelerated HTML5 Canvas rendering, fluid freehand drawing math, shape recognition, and an intuitive UI.	🎵 VibeSync Context-Aware Mood & Audio Recommendation App Algorithmic music discovery platform that analyzes mood attributes and listening tendencies to dynamically craft tailored playlists matching the user's immediate state.

💡 Set up the Platane/snk GitHub Action to auto-generate this contribution snake animation!

💡 Setup: Install the WakaTime extension in VS Code, then add your API key as a repository secret named WAKATIME_API_KEY. The action will auto-populate this section with your real coding stats!

5+ Original AI/ML Research Projects	18+ Original Public Repos	3+ Autonomous Agent Systems	6+ Full-Stack Web Applications
Active Academic Paper Submissions	3+ Containerized Projects	4+ Production REST APIs	Active Daily Commit Streaks

┌─────────────────────────────────────────────────────────────────────────────┐
│                                                                             │
│   🧠 ARTIFICIAL INTELLIGENCE          ⚡ FULL-STACK ENGINEERING            │
│   ├── Reinforcement Learning           ├── React / Next.js / TypeScript    │
│   ├── Generative Adversarial Nets      ├── Node.js / Express / FastAPI     │
│   ├── Multi-Agent Systems (LLM)        ├── MongoDB / PostgreSQL / Redis    │
│   ├── Computer Vision (OpenCV)         ├── HTML5 Canvas / WebSockets       │
│   ├── NLP & Semantic Search            └── Vercel / Render / Docker        │
│   └── Edge AI & TinyML                                                     │
│                                                                             │
│   🔬 RESEARCH & INNOVATION            🌿 GREEN COMPUTING                  │
│   ├── Academic Paper Publishing        ├── Energy-Efficient ML             │
│   ├── Bio-Inspired Computing           ├── Sustainable AI Benchmarks       │
│   ├── Organoid Intelligence            ├── Carbon Footprint Analysis       │
│   ├── Energy-Harvesting WSNs           └── Edge vs Cloud Optimization      │
│   └── Hazard Prediction Models                                              │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

• 🧪 Edge AI & TinyRL — Pushing reinforcement learning inference onto microcontroller units (MCUs) with sub-milliwatt power budgets.
• 🧬 Bio-Computing Gyms — Advancing RL simulation environments for organoid and biological computing architectures.
• 🤖 Autonomous Multi-Agent Ecosystems — Designing self-correcting agent chains with tool augmentations and dynamic memory caching.
• ⚡ Next-Gen Web Applications — Crafting reactive, accessible, high-performance web products with Next.js, Server Components, and WebSockets.
• 📝 Academic Publishing — Submitting research to IEEE, ACM, and NeurIPS workshops on Edge RL and Sustainable AI.
• 🤝 Collaborations — Actively open to collaborating on breakthrough open-source AI/ML tools, research papers, and impactful developer systems.

• 🚀 Launch TinyRLAM — Resource-efficient RL for embedded systems
• 🧬 Build Organoid Intelligence Gym — Bio-computing research environment
• 🏥 Deploy Healthcare Agent — Multi-agent clinical validation pipeline
• 🧠 Release Abstractify — AI-powered research synthesis platform
• 📄 Publish first peer-reviewed AI/ML research paper
• 🏆 Reach 100+ GitHub stars across repositories
• 🌍 Contribute to 3+ major open-source projects (PyTorch, LangChain, etc.)
• 🎤 Present at an AI/ML conference or meetup
• 📊 Integrate WakaTime real-time coding metrics

If you find my projects useful, consider supporting my open-source work!

 

⚡ "Pushing the boundaries of intelligence and computation, one commit at a time." 🚀