Varunsai Alaparthi

About Varunsai Alaparthi

I specialize in building scalable AI solutions that bridge research and real-world applications. With hands-on experience in LLMs, RAG, NLP, and Computer Vision, I have worked on projects ranging from Graph RAG-powered retrieval systems to LLM-based automation and recommendation models.1.At MathWorks, I designed and deployed a PyTorch-MATLAB integration framework, accelerating deep learning workflows by 35% inference speedup on Apple Silicon & NVIDIA GPUs.2.At my internship, I optimized LLM-based search and recommendations, fine-tuning models like LLaMA and ChatGPT for real-time user interactions.3. As a Research Assistant (NITC), I built an AWS SageMaker-powered NLP pipeline, automating model training and deployment for text complexity analysis.4. Currently researching Graph RAG for shell command retrieval, integrating knowledge graphs and vector search for enhanced AI-driven cybersecurity tools.I thrive at the intersection of ML research and software engineering, bridging cutting-edge AI with robust, scalable deployments. I’m passionate about building AI-driven systems, leveraging LLMs, distributed computing, and optimization techniques to drive efficiency and innovation. Let’s connect and talk about AI, scalable ML solutions, and next-gen NLP advancements!

Experience

1. Software Engineer

   Illumio

   Jun 2025 — Present · Sunnyvale, CA, US

Education

• National Institute of Technology Calicut

  Bachelor's degree, Computer Science

  2018 — 2022

• Penn State University

  Master's degree, Computer Science

• Sri Chaitanya College of Education

  Intermediate

  2016 — 2018