Yashwanth Sai Kanakala

Yashwanth Sai Kanakala

Senior Software Engineer Digital Technology Solutions (AI/Ml/Dl) @ QuEST Global

About Yashwanth Sai Kanakala

Yashwanth Sai Kanakala is a Senior Software Engineer at Quest Global specializing in digital technology solutions involving AI, ML, and DL.

Company

Yashwanth Sai Kanakala is currently working at Quest Global in Bengaluru, Karnataka, India. As a Senior Software Engineer, he is involved in digital technology solutions focusing on AI, ML, and DL. Quest Global is known for its engineering services and solutions across various industries.

Title

Yashwanth Sai Kanakala holds the title of Senior Software Engineer at Quest Global. His role is centered around digital technology solutions, particularly in the domains of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Previous Experience

Before his current role, Yashwanth worked at Tata Consultancy Services (TCS) as a System Engineer from 2019 to 2022 in Chennai, Tamil Nadu, India. He also served as a Research Student at SRM ASV in the Chennai Area from 2018 to 2019. Additionally, Yashwanth had a brief stint as a Research Intern at Hira Ferro Alloys Ltd in Raipur from 2017 to 2018.

Education and Expertise

Yashwanth is pursuing a Master of Technology (MTech) in Data Science and Engineering at Birla Institute of Technology and Science, Pilani (2023-2025). He holds a Bachelor of Technology (BTech) in Mechatronics, Robotics, and Automation Engineering from SRM University (2015-2019). His academic background underpins his expertise in AI, ML, and DL.

Key Projects

Yashwanth developed a Road Hazard detection system for Mitsubishi Electric's in-vehicle infotainment systems, increasing driver’s road precaution rate. He also implemented a passenger/co-passenger temperature detection system for pandemic situations and created a Traffic billboard reader to enhance driver’s directional awareness. Additionally, Yashwanth introduced an object detection algorithm achieving an mAP of 91.6 and developed a pipeline for automating image labeling tasks, significantly reducing task times.

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