Welcome to my GitHub corner! I'm a Full-Stack Developer, MLSys Enthusiasm and Ex-quant Developer with a deep passion for building high-performance systems and solving complex engineering problems. If you're into scalable infrastructure, performance optimization, and innovative software design, you've come to the right place.
- Specialties: Machine Learning Systems, Performance Optimization, Distributed Systems Design
- Tech Stack: Kubernetes, Docker, C, C++, Python, Go, Prometheus, PyTorch, CUDA, and more!
- Mindset: Engineering efficiency, continuous learning, and solving real-world problems through code.
I'm an advocate for open-source development and love contributing to the community. Here’s what I'm passionate about:
- Machine Learning Systems: Whether it's building ML pipelines, optimizing models, or diving deep into frameworks like PyTorch, I’m always exploring how to make ML systems faster, more scalable, and more reliable.
- Infrastructure & DevOps: Architecting cloud-native systems that handle large-scale data processing, automate workflows, and keep everything running smoothly. Tools like Kubernetes, Docker, and Prometheus are my go-to.
- Software-Hardware Synergy: Exploring the potential of software and hardware co-design. I've been experimenting with CUDA and deep learning frameworks to push the limits of what can be done.
- Build Fast, Scale Smart: I’m all about creating solutions that are both efficient and scalable. From designing infrastructure to writing code, I prioritize performance and maintainability.
- Automation Enthusiast: Automating workflows, processes, and systems is key to optimizing productivity. I’m always looking for ways to streamline operations, whether it’s through CI/CD pipelines or custom automation scripts.
- Data-Driven Decision Making: Metrics, monitoring, and observability are integral to how I work. With tools like Prometheus and Grafana, I keep a close eye on performance to ensure everything runs like clockwork.
I’m always open to new ideas, collaborations, and interesting challenges. Whether it’s contributing to open source, building cutting-edge systems, or optimizing machine learning workflows, let’s connect and create something impactful together.
- Collaborate on Projects: I’m always interested in teaming up on exciting engineering projects. Feel free to reach out if you have something in mind!
- Open for Contributions: If you spot something in my repos that interests you, don’t hesitate to jump in. I welcome all contributions and feedback.
Here’s a snapshot of the tools and technologies I work with regularly:
- Languages: Python, Go, C, C++, Shell Scripting
- Infrastructure: Kubernetes, Docker, Terraform, Ansible
- Machine Learning: PyTorch, XGBoost, LightGBM, CUDA
- Monitoring & Observability: OpenTelemetry, Prometheus, Grafana, Thanos
- Performance Optimization: Whether it's tuning algorithms or optimizing systems, performance is at the heart of what I do.
- Scalable Infrastructure: Designing and implementing systems that scale effortlessly and operate efficiently under pressure.
- ML Systems & Frameworks: Deep learning, model training, and system integration are key areas of focus in my work.
Let’s connect and discuss how we can create something great together!