I’m a Machine Learning and Web Engineer passionate about building intelligent, data-driven systems that deliver measurable impact.
My expertise lies at the intersection of AI, Computer Vision, Cloud Infrastructure, and Full-Stack Development — transforming raw data into actionable insights and scalable products.
- 🌟 Core Skills: Python, TypeScript, C++, ML & AI, React, FastAPI, Docker, Cloud
- 📊 Focus Areas: Computer Vision · Scalable Backend Systems · Data Analytics
- 🚀 Current Goal: Designing cloud-native AI pipelines and production-grade ML systems
I specialize in developing and deploying ML solutions that bridge research and real-world impact:
- TensorFlow / PyTorch – Building deep learning and computer vision models
- Scikit-Learn / XGBoost – Classic ML for analytics and predictive modeling
- OpenCV – Visual intelligence, object detection, and feature extraction
- Keras – Fast prototyping and fine-tuning neural architectures
🔬 I particularly enjoy working on projects where AI meets real-world systems, like autonomous inspection, visual analytics, and IoT-driven monitoring.
I use data as a decision engine — transforming messy information into insights.
- Pandas & Polars – Fast and efficient data wrangling
- NumPy & Matplotlib – Numerical computations and visualization
- ETL Pipelines – Automated ingestion and validation workflows
- ClickHouse / PostgreSQL – Optimized storage for analytics and monitoring systems
I love crafting clean, modular, and high-performance web systems powered by Python and JavaScript.
- FastAPI – Lightning-fast async backends & AI API endpoints
- Django / Flask – RESTful systems and internal automation tools
- React / Next.js – Modern, dynamic, and responsive frontends
- ShadCN / Tailwind / MUI – Sleek, developer-friendly UI design systems
🧩 My architecture approach emphasizes clarity, scalability, and reusability — from microservices to interactive dashboards.
I build solutions that are production-ready, portable, and scalable.
- Docker – Containerization and environment reproducibility
- AWS / GCP – End-to-end cloud pipelines, model hosting, and APIs
- Kubernetes (in progress) – Exploring orchestration for distributed workloads
- CI/CD & GitHub Actions – Automated build, test, and deploy workflows
☁️ I focus on deploy-once-run-anywhere design — ensuring smooth cloud portability.
