I am an AI and Machine Learning researcher with hands-on experience in robotics, imitation learning, and vision-based AI systems. I am skilled at developing real-time AI systems, Large Language Models, transformer-based architectures, and deploying AI agents in physical systems. I have a proven track record in backend AI engineering development focusing on perception, planning, and control in robotics. I am passionate about applying artificial intelligence for practical, innovative automation solutions. Currently, I work part-time as a Robotics Research Engineer developing transformer-based vision AI models for automotive defect detection. I also lead research projects integrating vision-language action models for quadrupedal locomotion, combining Large Language Models with robotic control. I thrive in collaborative and fast-paced industrial and academic environments where I deliver effective AI-based automation technologies.

Manisha Lingala

I am an AI and Machine Learning researcher with hands-on experience in robotics, imitation learning, and vision-based AI systems. I am skilled at developing real-time AI systems, Large Language Models, transformer-based architectures, and deploying AI agents in physical systems. I have a proven track record in backend AI engineering development focusing on perception, planning, and control in robotics. I am passionate about applying artificial intelligence for practical, innovative automation solutions. Currently, I work part-time as a Robotics Research Engineer developing transformer-based vision AI models for automotive defect detection. I also lead research projects integrating vision-language action models for quadrupedal locomotion, combining Large Language Models with robotic control. I thrive in collaborative and fast-paced industrial and academic environments where I deliver effective AI-based automation technologies.

Available to hire

I am an AI and Machine Learning researcher with hands-on experience in robotics, imitation learning, and vision-based AI systems. I am skilled at developing real-time AI systems, Large Language Models, transformer-based architectures, and deploying AI agents in physical systems. I have a proven track record in backend AI engineering development focusing on perception, planning, and control in robotics. I am passionate about applying artificial intelligence for practical, innovative automation solutions.

Currently, I work part-time as a Robotics Research Engineer developing transformer-based vision AI models for automotive defect detection. I also lead research projects integrating vision-language action models for quadrupedal locomotion, combining Large Language Models with robotic control. I thrive in collaborative and fast-paced industrial and academic environments where I deliver effective AI-based automation technologies.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate

Work Experience

Robotics Research Engineer (Part-Time) at AI-Robotics
April 1, 2025 - Present
Developed a transformer-based vision AI model for weld defect detection in automotive parts, improving defect classification accuracy through strong problem-solving skills. Integrated vision feedback with Yaskawa robots and collaborated with automation engineers, demonstrating effective cross-functional communication and team collaboration. Engineered robust backend AI systems maintaining high uptime for real-time inspection workflows. Delivered project outcomes under tight timelines, showing time management and adaptability in fast-paced industrial environments.
Graduate Researcher at Physical Intelligence Lab, Kyungpook National University
March 1, 2024 - Present
Led development of Vision-Language Action (VLA) models for quadrupedal locomotion, integrating LLMs with robotic control. Designed and implemented a vision-guided cucumber harvesting system using YOLOv11 and AGV, showcasing initiative and collaborative teamwork with lab members and hardware vendors. Researched LLM-based hierarchical planners and VLA-enhanced robotic motion planners. Deployed AI agents for intelligent tissue packing using Action Chunk Transformers.
Research Assistant at Physical Intelligence Lab, Kyungpook National University
February 28, 2024 - August 13, 2025
Gained practical skills in control systems, AI, reinforcement learning, and ROS. Key projects included drone control with keyboard interface and object detection, drone trajectory tracking with MPC-based control algorithms, and leader-follower tracking implementing ICL MPC for TurtleBot robots.

Education

Master's in Electronics and Electrical Engineering at Kyungpook National University
March 1, 2024 - December 22, 2025
Bachelor of Science in Electronics Engineering at Kyungpook National University
March 4, 2022 - February 23, 2024
Bachelor of Technology in Electronics and Communication in Engineering at Christ University
August 1, 2019 - December 21, 2021

Qualifications

Certified Researcher - Micro1
July 1, 2025 - August 13, 2025
Embedded Systems - Internshala
June 1, 2022 - August 13, 2025
Introduction to Python Programming - Udemy
November 1, 2021 - August 13, 2025
Matlab Fundamentals - Matlab
November 1, 2021 - August 13, 2025

Industry Experience

Manufacturing, Computers & Electronics, Education
    paper Automated weld bead inspection system

    Developed an AI model leveraging transformer architectures to detect and classify weld defects in automotive parts.

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