---
title: "Shreyas K - AI Developer in Mysore | Tal"
description: "Meet Shreyas K, AI Developer @ Vyomastra Technologies | Autonomous Drones | ROS | Visual-Inertial Odometry | Computer Vision based in Mysore. Explore public work links including github."
image: "https://tal.club/meet/shreyas-k/share-image"
---

# Shreyas K on Tal

## Headline

AI Developer @ Vyomastra Technologies \| Autonomous Drones \| ROS \| Visual\-Inertial Odometry \| Computer Vision

## About

I am a Robotics and AI Engineer working on autonomous drone systems, focusing on perception, localization, and navigation for indoor autonomous flight\. Currently at Vyomastra Technologies, I contribute to building autonomous drone platforms from the ground up\. My work involves integrating perception pipelines, Visual\-Inertial Odometry \(VIO\), and navigation stacks within ROS\-based systems to enable reliable indoor autonomy\. Over the past year, I have explored and deployed multiple VIO frameworks, debugged localization issues such as drift and runtime failures, and helped stabilize flight through improved pose estimation pipelines\. My work also includes developing obstacle avoidance systems and integrating depth cameras such as OAK devices into ROS environments for real\-time perception\. This experience has given me exposure across the full autonomy pipeline, including: • Drone perception systems • Visual\-Inertial Odometry and localization • Navigation stack integration • Obstacle avoidance • ROS\-based robotics software architecture

## Location

Mysore

## Work experience

AI Developer at Vyomastra Technologies, Jun 2024 \- Present · 1 yr 11 mos, • Building an autonomous indoor drone platform integrating perception, localization, and navigation within ROS\-based systems\. • Evaluated and deployed Visual\-Inertial Odometry \(VIO\) pipelines across ROS1 and ROS2, addressing drift and runtime issues\. • Stabilized drone flight through pose estimation tuning and localization pipeline improvements\. Contributed to the navigation stack, integrating localization, mapping, and trajectory planning components\. • Worked on real\-time obstacle avoidance using multi\-model perception approaches for cluttered indoor environments\. • Integrated OAK depth cameras with ROS, enabling efficient real\-time perception and sensor data pipelines\.

AI Developer Intern at Vyomastra Technologies, Feb 2024 \- May 2024 · 4 mos, • Fine\-tuned deep learning perception models for drone use cases, improving detection of small aerial objects\. • Studied drone hardware architecture, including flight controllers, sensors, electronics, and mechanical constraints\. • Explored PX4 and ArduPilot firmware ecosystems and their role in autonomous flight control pipelines\. • Learned and applied ROS integration for drone autonomy, including perception, localization, and control modules\.

Deep Learning Intern at SandLogic, Dec 2022 \- Feb 2024 · 1 yr 3 mos, • Implemented object detection and classification pipelines using C\+\+ and NVIDIA DeepStream for edge deployment\. • Fine\-tuned pretrained models on custom datasets to improve accuracy for real\-world applications\. • Optimized inference performance for GPU\-accelerated edge systems\.

Machine Learning Associate at TEN: HR Consulting, Apr 2022 \- May 2022 · 2 mos

Machine Learning Associate at The Entrepreneurship Network, Apr 2022 \- May 2022 · 2 mos

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Machine learning, Dayananda Sagar College of Engineering, BANGALORE

## Public links

- github: https://github\.com/ShreyasKuntnal

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

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