Murshid
R.

"Building systems that don't just process data, but understand intent."

AI Research Engineer

Applied Systems · Space Tech

Scroll

manifesto

In a world of noise, I build for the quiet. Systems that don't just process data, but understand intent.

Explore Projects

Technical DNA

The Stack.

PyTorch

Llama 3.3

Groq API

TensorFlow

FastAPI

React 19

Next.js

TypeScript

Tailwind 4

Supabase

Python

MATLAB

Scikit-learn

NumPy

C++

AI / ML

Web / Product

Engineering

The Story

AI Research Engineer
Applied Systems.

B.Tech CS (Data Science & AI) student with a focus on deep learning for aerospace, LLM-powered agentic systems, and real-time AI pipelines.

I've spent my time building SENTINEL—an LLM commitment extraction platform—and developing Temporal Convolutional Networks that predict combustion instability in rocket engines. I think at the intersection of intelligence and performance.

Portrait / 2024

Experience

Dr. M.G.R ACS Space Technology Centre

AI Research Engineer

2024 – Present

/Led AI-driven combustion instability prediction research achieving 92% accuracy.
/Engineered end-to-end payload integration workflows for CubeSat missions.
/Reduced chamber pressure prediction error by 18% through behavior analysis.

The Toolkit

AI / ML Frameworks

PyTorch
TensorFlow
Keras
Scikit-learn
HuggingFace Transformers
LangChain

LLM & Architecture

RAG
MCP
LLM Prompting & Fine-tuning
Groq API
Llama 3.3 70B
Agentic Systems

ML Architectures

TCN
LSTM
CNN
Bayesian Optimization
Collaborative Filtering

Backend & APIs

FastAPI
Flask
WebSockets
REST API Design
JWT
OAuth 2.0

Frontend

React 19
TypeScript
Tailwind CSS
Framer Motion
TanStack Query

Databases & Infra

Supabase
PostgreSQL
SQLite
Redis
Vercel
Docker

journal

Thoughts on AI,
Space & Intent.

View the Archives

"We don't just build systems; we curate experiences that feel like quiet, intelligent extensions of ourselves."

PyTorchLlama 3.3GroqFastAPIReact 19TensorFlowSpace Tech AIRAG SystemsAgentic Workflows

Murshid R.