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murshidr/README.md

LinkedIn GitHub Email Location


πŸš€ About Me

murshid = {
    "role"        : "AI/ML Researcher @ Dr. M.G.R ACS Space Technology Centre",
    "education"   : "B.Tech CSE (Data Science & AI) β€” Dr. M.G.R ERI, Chennai",
    "gpa"         : "8.60 / 10.00 (Semester 4 | Upward trajectory)",
    "research"    : "TCN for combustion instability prediction in hybrid rocket engines",
    "stack"       : ["PyTorch", "TensorFlow", "FastAPI", "React", "Groq", "LangChain"],
    "interests"   : ["Space Technology AI", "LLM Systems", "RAG", "Real-Time Telemetry"],
    "looking_for" : "Research Internship | Applied AI | ML Engineering | Space Tech AI",
    "superpower"  : "Making rockets smarter with deep learning πŸš€"
}

I build AI systems that solve real engineering problems β€” starting with rocket engines.

My work sits at the rare intersection of Deep Learning and Aerospace Engineering.

Few people occupy this space at the undergraduate level. That's exactly why I'm here.


πŸ›°οΈ Flagship Projects

πŸ”₯ SENTINEL

Execution Intelligence Platform

LLM-powered system that extracts delivery commitments from Slack & Gmail, scores slip risk 0–100, and auto-alerts owners before deadlines are missed.

  • πŸ€– Groq LPU Β· Llama 3.3 70B inference

  • ⚑ FastAPI Β· React 19 Β· TypeScript

  • πŸ—„οΈ Supabase Β· Redis Β· Celery pipeline

  • πŸ”— OAuth 2.0: Slack Β· Gmail Β· GitHub

AMD Slingshot Hackathon 2026

πŸš€ Combustion Instability AI

Hybrid Rocket Engine Research

TCN model achieving 92% accuracy in real-time combustion instability prediction β€” outperforming LSTM baselines.

  • 🧠 TCN with Bayesian Optimization

  • πŸ“‘ 8-channel sensor fusion at 1000 Hz

  • πŸ”§ 35% reduction in manual iterations

  • πŸ† Presented at YASSC 2025 State Level

Dr. M.G.R ACS Space Technology Centre

🧠 DocuMind

Mental State Prediction β€” Deep Learning

Stacked LSTM for time-series classification of mental health states from 7-day behavioral metrics.

  • πŸ“Š 81% Recall on At_Risk class

  • βš–οΈ Class weighting: 28.74x for minority

  • πŸ• 5-day optimal prediction window identified

  • TensorFlow Β· Keras Β· Scikit-learn

πŸ“‘ Ground Station Dashboard

Real-Time Telemetry System

Production-grade mission control dashboard processing live data from 8+ sensor channels.

  • ⚑ <100ms latency Β· 1000 Hz sampling

  • 🌐 WebSocket multi-user architecture

  • πŸ›°οΈ Selected for INSPACe National Competition

  • FastAPI Β· WebSockets Β· Plotly Β· SQLite


πŸ› οΈ Tech Stack

AI / ML

Languages

Backend & APIs

Frontend

Tools & Infra


πŸ† Achievements

πŸ₯‡ Award πŸ›οΈ Organisation πŸ“… Year
AMD Slingshot Hackathon β€” SENTINEL Submission Quantumstacks Lab 2026
2nd Place β€” Paper Presentation YASSC 2025 (Mechanical Dept.) 2025
Certificate of Appreciation β€” Research Paper State YASSC 2025 2025
Runner-Up β€” Promptathon AI Competition AI: Beyond the Algorithm 2025
Selected Team β€” National Rocketry Competition INSPACe Model Rocketry India 2025
Organising Committee Member Space 4.0 National Seminar (ITCA) 2025
TiHAN Program Participant IIT Hyderabad β€” Autonomous Navigation 2024

πŸ“Š GitHub Stats

Murshid's GitHub Stats Top Languages
GitHub Streak
---

πŸ“¬ Let's Connect

I'm actively seeking Research Internships and Applied AI / ML Engineering roles β€” especially in Space Technology AI, LLM Systems, RAG, and AI Architecture.

If you're working on something at the intersection of AI and aerospace, real-time systems, or LLM infrastructure β€” I'd love to talk.

πŸ“© murshidreyas@gmail.com


⭐ If any of my projects helped or inspired you, consider leaving a star. It genuinely means a lot.

Pinned Loading

  1. AA1-34-Ganesh/Team-Revenants AA1-34-Ganesh/Team-Revenants Public

    HTML

  2. quantumstack-labs/Smart-Attendance-System quantumstack-labs/Smart-Attendance-System Public

    A modern, high-performance Desktop Attendance System built with Python and CustomTkinter. Features a staff terminal mode, admin dashboard, and automated late-tracking logic

    Python 1