I’m an engineer dedicated to building intelligent, scalable, high-performance software systems.
My work spans across full-stack development, computer vision, LLM-based automation, distributed backend systems, and developer tooling.
I thrive on solving challenging engineering problems and taking products from idea → architecture → execution → production.
Currently, I’m co-building Quantivision — a next-gen Vision AI and Agentic Automation company focused on real-time intelligence, autonomous analytics, and high-impact engineering for modern enterprises.
- React • Next.js 15 • React 19 • TypeScript
- Tailwind CSS • Three.js • React Three Fiber • Framer Motion
- Building immersive experiences and interactive 3D product sites
- Golang (Gin, gRPC, sqlc, concurrency patterns)
- Node.js / Express
- Python (FastAPI, Flask)
- Kafka (Confluent stack, kafka-go)
- Custom logging pipelines with Kafka producers/consumers
- File-backed timestamp-triggered database in Go
- Pub/Sub systems with at-least-once delivery
- Microservice orchestration & modular codebases
- Vision AI (SAM, pose models, object tracking, sports analytics)
- Model fine-tuning (e.g., Med-GEMMA-4B-IT, Med-GEMMA-3)
- PyTorch training pipelines
- Attention heatmaps & CV interpretability
- Image/video compression & preprocessing (OpenCV, FFmpeg)
- Docker • Kubernetes • Helm
- AWS • GCP
- CI/CD workflows
- Nginx • PM2
- PostgreSQL • MySQL • MongoDB
- Redis
- sqlc (type-safe Go queries)
- golang-migrate/migrate
- VS Code • Figma • Postman
- Blender • Unity (for experiments)
- Real-time sports analytics (player tracking, event understanding)
- Multi-model perception pipelines
- Agentic LLM workflows for automation
- Enterprise-scale dashboards and intelligence systems
- Custom file-backed DB
- gRPC-based subscription system
- At-least-once delivery pub/sub
- Pluggable scheduling engine
- Fine-tuning Med-GEMMA-3 & 4B-IT on medical datasets
- Pneumothorax detection with attention heatmaps
- Torch training loops with configurable backbones
- Modular architecture (
task.rs,db.rs, etc.) - Due dates, priorities, categories
- Optional SQLite/sled backend
- Terminal UI vision using Ratatui
- Galaxy/universe themed
- Physics-based interactions using Cannon.js
- Immersive 3D storytelling
- Building real-time multi-model Vision AI systems
- Scaling LLM agent pipelines at Quantivision
- Mastering Go for high-performance backend architecture
- Training, optimizing, and visualizing ML models
- Refining Rust skills for systems programming
- Designing developer-friendly toolchains and CLIs
✨ Thanks for visiting!