About Me

Here's the deal: You can't outrun the AI revolution. Large Language Models and cutting-edge tech evolve faster than you can blink, shredding yesterday's machine learning playbook. Is that game over for us? Absolutely Goddamn not (Harvey Specter - Suits) —it's just getting started!

I'm Manjunathan Radhakrishnan, a Machine Learning Engineer and Researcher who thrives in this chaos. With a degree in Electronics and Communication Engineering from Sri Sivasubramaniya Nadar College of Engineering (CGPA: 9.02/10), I've got the backdrop and base knowledge to back it up. My battleground? Advanced computer vision, distributed training frameworks, and cloud-agnostic ML solutions - with a keen interest on designing efficient systems, hardware software hand in hand. I've built modified YOLO architectures to spot ships like a hawk and engineered agentic platforms at Mad Street Den (Vue.ai) that redefine what's possible. Innovation, efficiency, impact—that's my creed.

The rapid pace of AI isn't a hurdle; it's my adrenaline. I design systems, tweak models, and turn wild ideas into reality, whether it's scaling architectures or fine-tuning solutions that actually work. With a couple of years under my belt and a hunger to push limits, I'm here to tackle the toughest challenges and shape a future that doesn't just arrive—it dominates.