Curriculum Vitae

Murshid R.

AI Research Engineer · Applied Systems · Space Tech & Data Science

Chennai, Tamil Nadu, India

murshidreyas@gmail.com

+91 8939043919

01. Executive Summary

B.Tech Computer Science & Engineering (Data Science & AI) student with hands-on experience building applied AI and machine learning systems using Python, PyTorch, TensorFlow, computer vision, NLP, and LLM-based applications.

Experienced in developing end-to-end ML pipelines, working with real-world data, feature engineering, model evaluation, and deploying AI-powered applications. Interested in Document Intelligence, OCR, NLP, and LLM-driven automation with a strong focus on practical AI solutions.

02. Experience

AI Research Engineer

Dr. M.G.R ACS Space Technology Centre, Chennai

2024 – Present

  • /Developed machine learning workflows for combustion-instability prediction using Python, TCN models, Bayesian Optimization, and sensor-data processing.
  • /Worked with multi-channel real-time sensor data, data fusion, model evaluation, and digital-twin pipelines for aerospace research applications.
  • /Led avionics and flight-software development for an IN-SPACe national rocketry competition, integrating sensors, telemetry, and live visualization.

Mathematics & Chemistry Instructor

B.L Learning Institute, Chennai

2023 – 2024

  • /Taught mathematics and chemistry to 50+ students, designed structured problem sets, and supported measurable improvement in student performance.

03. AI/ML Engineering Projects

Groq API · OAuth

AI Automation SaaS

Quantumstacks Lab — End-to-end task workflow platform with Groq API summaries & OAuth.

CNN · TensorFlow

CarbonCut Waste AI

CNN image recognition achieving 94% accuracy across 6+ waste categorization classes.

LSTM · PyTorch

DocuMind Time-Series

Deep learning time-series classification addressing severe class imbalance.

Random Forest · SVM

Crop Health Analytics

Hyperspectral image processing pipeline & ML ensemble achieving 89% accuracy.

Novel Contribution Award

CardioTwin-H Digital Twin

AI-driven cardiovascular digital twin combining ML risk prediction & explainability.

React 19 · Llama 3.3

SENTINEL Platform

AMD Slingshot Hackathon 2026 — Full-stack LLM commitment extraction & risk scoring.

Kotlin · Room DB

Vynta v2.0 Android

AI task scheduler mapping natural language to Google Calendar based on daily energy levels.

04. Education & Academic Progression

Dr. M.G.R Educational and Research Institute, Chennai

B.Tech, Computer Science & Engineering (Data Science & AI)

2023 – Present

Cumulative GPA (Semester 4)

8.60 / 10.00 (Semester 4)

Academic Progression Trajectory

7.38 → 7.71 → 8.14 → 8.60

05. Awards & Recognition

Novel Contribution Award

National Conference — CardioTwin-H research

Student Research & Achievement Award

AUDI FEST 2026

2nd Place — Paper Presentation

YASSC 2025

Runner-Up

Promptathon AI Competition (AI: Beyond the Algorithm)

Selected Team

IN-SPACe Model Rocketry India National Competition

TiHAN Program Participant

IIT Hyderabad — Autonomous Navigation & Robotics

06. Technical Skills

Programming

PythonC++CJavaKotlinJavaScriptTypeScriptSQLHTMLCSS

AI & Machine Learning

PyTorchTensorFlowKerasScikit-learnDeep LearningCNNsLSTMsTCNsTime-Series ClassificationFeature EngineeringModel Evaluation

AI Applications

Computer VisionNLPLLM ApplicationsPrompt EngineeringAI-powered AutomationPredictive Analytics

Data & Processing

PandasNumPyData CleaningData PreprocessingFeature EngineeringSensor/Data Fusion

Development & Deployment

FastAPIFlaskREST APIsWebSocketsGit/GitHubLinux/WSLSQLitePostgreSQLSupabaseRedisMATLABJupyter

07. Languages

English

Fluent

Tamil

Native

Hindi

Conversational

German

Basic

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