"Buildingsystemsthatdon'tjustprocessdata,butunderstandintent."
AI Research Engineer
Applied Systems · Space Tech
manifesto
In a world of noise, I build for the quiet. Systems that don't just process data, but understand intent.
Aerospace AI & Space Tech
AerospaceAI&SpaceTech
DevelopingmachinelearningworkflowsforcombustioninstabilitypredictionusingTCNmodels,BayesianOptimization,andmulti-channelsensordataprocessing.
- /8-channel sensor fusion at 1000 Hz sampling rate achieving 92% accuracy
- /Avionics & flight software development for IN-SPACe National Rocketry Competition
- /Digital-twin & real-time telemetry pipelines for aerospace research
ExecutionIntelligence
Full-stackLLM-poweredplatformextractingdeliverycommitmentsfromSlackandGmail,scoringsliprisk(0–100),andalertingowners.
- /Llama 3.3 70B & Groq API inference pipeline
- /Real-time event processing via Supabase & Redis cache
- /AMD Slingshot Hackathon 2026 featured project
AIAutomationSaaS
End-to-endwebSaaSapplicationorganizingautomationworkflowswithGroqAPIsummaries,GoogleOAuth,andmulti-formatexports.
- /Structured Groq LLM parsing & intelligent automation summaries
- /Google OAuth 2.0 authentication & secure session management
- /Downloadable CSV, JSON, and PDF report generators
CardiovascularDigitalTwin
AI-drivendigitaltwincombiningMLriskprediction,explainability,physiologicaldataacquisition,andreal-worlddataprocessing.
- /Novel Contribution Award at National Research Conference
- /Integrates predictive analytics with physiological sensor metrics
- /Published research & ongoing project funding
The Stack.
AI Research Engineer
Applied Systems & Data Science.
B.Tech CS (Data Science & AI) student at Dr. M.G.R Educational and Research Institute (CGPA 8.60/10.00) with hands-on experience building applied AI, machine learning, and deep learning systems.
Experienced across aerospace TCN models, computer vision, NLP, and LLM-powered applications like SENTINEL and Quantumstacks Lab SaaS. Focused on Document Intelligence, OCR, and practical AI solutions that turn complex data into intent.
Portrait / 2024
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.
Programming
- Python
- C++
- C
- Java
- Kotlin
- JavaScript
- TypeScript
- SQL
- HTML
- CSS
AI & Machine Learning
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- Deep Learning
- CNNs
- LSTMs
- TCNs
- Time-Series Classification
AI Applications
- Computer Vision
- NLP
- LLM Applications
- Prompt Engineering
- AI-powered Automation
- Predictive Analytics
Data & Processing
- Pandas
- NumPy
- Data Cleaning
- Data Preprocessing
- Feature Engineering
- Sensor/Data Fusion
Development & Deployment
- FastAPI
- Flask
- REST APIs
- WebSockets
- Git/GitHub
- Linux/WSL
- SQLite
- PostgreSQL
- Supabase
- Redis
- MATLAB
"We don't just build systems; we curate experiences that feel like quiet, intelligent extensions of ourselves."