Tejaswini Jayashanker — AI Researcher

I am an AI Developer with over 3 years of experience specializing in computer vision and the integration of large language models (LLMs) and vision-language models (LVMs), with previous expertise of 4 years in designing and developing optimised firmware for ARM-Cortex-based controllers. As a System Software Development Engineer at Intel, I build and deploy real-time AI-driven vision systems. My work spans over GenAI and computer vision solutions: from designing YOLOv7/v8 object-detection pipelines to implementing DeepSORT tracking and leveraging models like CLIP and SAM2 for advanced vision-language applications. Previously at AllGoVision, I developed and deployed computer vision solutions, further honing my skills in YOLO and pipeline optimization for real-time analytics. My technical toolkit includes Hugging Face Transformers, YOLOv7/v8, DeepSORT, Florence2, CLIP, SAM2, and Anthropic’s Claude (MCP) and Gorilla models, accelerated with CUDA and Intel Geti at my current work. I have deployed end-to-end AI applications and am currently focused on training custom models to solve emerging challenges. This practical experience, combined with a deep theoretical understanding, enables me to drive solutions from prototype to production. Confident and globally minded, I approach every project with clarity and creativity, collaborating across diverse teams to deliver meaningful impact with AI. Inspired by Kobe Bryant: Passion is the fuel to Success. Fun Fact: BIG FAN OF GOT7 🐥💚 Active Athlete: Throwball, Basketball Animal Lover 🐶🐱 Let’s connect if you’re hiring or collaborating in this space!

Stackforce AI infers this person is a Computer Vision and AI Solutions Engineer with a focus on real-time applications.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 11 mos