From building NLP models with Transformers to engineering scalable data pipelines with Docker and Flask, each project and certification has shaped my journey toward mastering the AI–ML ecosystem. My achievements aren't measured in numbers—they're reflected in every model that learns, adapts, and performs better than before.
Building AI solutions and data pipelines across multiple roles and industries.
My educational foundation in computer science and engineering.
Technologies and tools I work with to build intelligent solutions.
I've built a range of AI-driven solutions — from deep learning models to scalable backend systems — here are some of my key highlights.
Used CNNs for ctDNA detection and SVM for DNA classification. Applied spectrogram imaging, digital mapping (Keras), Canny edge detection, and...

Deep learning-based system for real-time traffic sign classification using CNNs trained on the GTSRB dataset. Features a modern Next.js/Tailwind CSS...
Check out my GitHub for the complete collection of projects, including production-ready code, detailed documentation, and implementation guides. From NLP pipelines to full-stack applications, there's much more to explore beyond these highlights.
💡 Pro tip: Star the repositories you find interesting!
I completed every certification with one goal — to keep learning, exploring, and pushing the boundaries of what I can create with AI and data.
Communication is key. Here are the languages I use every day.
Want to chat? Just shoot me a dm with a direct question and I'll respond whenever I can. I will ignore all soliciting.