Computer Science student with a strong foundation in machine learning, passionate about building intelligent, high-performance systems. Internship experience at KPMG, Jio Platforms, and Visist AI has provided deep expertise in the full AI project lifecycle—from data annotation and pipeline development to model fine-tuning and QA framework implementation. Combines advanced ML skills (Deep Learning, RAG, Computer Vision) with proficiency in low-level optimization.
I'm Samarth Pyati, a Machine Learning Engineer specializing in building intelligent systems that work in production. Currently pursuing B.Tech in Computer Science and Engineering (Honors) at RV University, combining cutting-edge ML with systems optimization.
- Currently building multimodal Agentic RAG systems at KPMG India
- Passionate about Deep Learning, Computer Vision, and low-level optimization
- Focused on building high-performance AI systems that scale
- Working with C/C++ and Rust for performance-critical applications
I focus on building technology that delivers measurable results. Whether achieving 500% speed improvements through parallel processing or 98% detection accuracy in computer vision models, I prioritize pushing technical boundaries.
My work spans from enterprise RAG systems processing large document sets to memory allocators optimized for performance. I believe in creating AI systems that are intelligent, fast, scalable, and production-ready. Every optimization and model I develop is driven by real-world impact.
I'm open to collaborating on innovative ML projects, systems optimization, and new technologies.
- Email: samarthpyati@gmail.com
- Open to: ML Research, Systems Engineering, and Tech Innovation opportunities