Portfolio

My Github Blog

On May 1st, 2024, I made a decision: To stop waiting. To stop second-guessing. And to start showing up—every single day—to build the future I want.

I committed to a daily deep dive into core foundations— probability, statistics, linear algebra—paired with hands-on exploration in machine learning and deep learning. I studied, coded, wrote, and reflected for 100 straight days by October 2024.

But that was just the beginning.

In 2025, I’ve taken it further—diving headfirst into MLOps: the critical systems work that makes machine learning real. From data pipelines and model orchestration to CI/CD, real-time serving, observability, and scale, I’m learning to build systems that don’t just work in theory—they work in production.

By mid-2025, I’ll have crossed 200 days of focused, high-impact learning. And I’m still accelerating.

This project isn’t a side quest. It’s the path. Every post. Every hour. Every breakthrough. I’m building the skills, mindset, and systems that will define my future as a machine learning engineer.

I’m not just studying. I’m training. Let’s keep going. 🚀

🚀 Check out my recent posting and writings! Visit My Blog!

Data Science Project

[LLMOps - LLM-Powered Real-Time Translation System]

In a world where seamless global communication is essential, I was challenged to develop a real-time translation system that integrates advanced AI and scalable cloud infrastructure to efficiently process, translate, and monitor multilingual news streams with ultra-low latency.

To ensure transparency, reproducibility, and continuous improvement, I meticulously documented the entire development process, versioning all pipeline iterations, tracking key design decisions, and logging detailed development notes, including challenges, optimizations, and breakthroughs.

📌 Check out the entire project breakdown here: 🔗 My Notion Page