---
title: "Ayush Lokare - AI Engineer in Bengaluru | Tal"
description: "Meet Ayush Lokare, AI Engineer @ GSK | Machine Learning, Python based in Bengaluru. AI stack includes claude code, hugging face, and notebooklm. Explore public work links including github and ayush111111.github.io."
image: "https://tal.club/meet/ayush-lokare/share-image"
---

# Ayush Lokare on Tal

## Headline

AI Engineer @ GSK \| Machine Learning, Python

## About

Hi\! I'm an AI engineer interested in building practical systems that work reliably in real\-world settings\. I enjoy solving problems, learning new things, and working on ideas that make a meaningful impact\. Always open to conversations and collaborations, let's connect\!

## Location

Bengaluru

## AI stack

claude code

hugging face

notebooklm

githubcopilot

DSPy

Ragas

## Work experience

AI Engineer at GSK, May 2025 \- Present · 1 y 5 mo, Greater Bengaluru Area

Technical Associate at GSK, Aug 2023 \- May 2025 · 1 yr 10 mos

Research Intern \- AI/ML at Manipal Institute of Technology, Jan 2023 \- Jul 2023 · 7 mos, \- Created U\-Nets to Automate fetal head circumference measurement from Ultrasound Images, using bayesian optimisation and hyperband for hyperparameter tuning \- Worked under the guidance of HARISH KUMAR J\. R\., Ph\. D\. \(IISc\), Fellow \(SERB \- TARE\)

Project Intern at Samsung India, Jan 2022 \- Sep 2022 · 9 mos, \- Developed a solution for Efficient Multi\-Camera Positioning around orthogonal stages, to maximise visual coverage

Python Intern \(Robotics\) at Aliyance Mechatronics, Jul 2021 \- Sep 2021 · 3 mos, Aliyance has been recognized as one of the top ten robotics companies in India by SiliconIndia At Aliyance Mechatronics, I engaged in robotics software development, working with ROS for perception and planning, ensuring cross\-version compatibility, and creating simulation enhancements in Gazebo

Computer Vision Developer at Formula Manipal \(Driverless Subsystem\), Feb 2020 \- Jun 2021 · 1 yr 5 mos, \- Enhanced YOLOv3 for cone detection and developed keypoint regression for cones placed on the track \- Developed a Perception Pipeline, merging YOLOv3 with PnP, epipolar geometry, feature matching \(SIFT\), and triangulation\. \- Awarded the Ather Energy Software Award for designing a system to analyze driver attentiveness through facial feature detection, utilizing facial landmark techniques

## Education

Undergraduate, Computer Science, Manipal institute of technology

Master's degree, Computer Science, Georgia Institute of Technology

## Public links

- github: https://github\.com/ayush111111
- ayush111111\.github\.io: https://ayush111111\.github\.io/quartz/

[View the original profile](https://tal.club/meet/ayush-lokare)

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