Hitesh Kotte M.Sc

About Me

I am a Machine Learning Engineer with a strong passion for artificial intelligence and computer vision. Originally from India, I embarked on my academic journey by pursuing a Bachelor of Science in Computer Science, where I honed my programming and technology skills. This solid foundation paved the way for my pursuit of a Master's degree with a specialization in Data Science and Artificial Intelligence at the esteemed Saarland University in Germany.

My expertise shines in the field of computer vision, where I leverage advanced techniques such as the YOLOv7 model. A notable project that showcases my skills is an innovative application designed for gym environments. This application provides real-time feedback on posture correction, demonstrating how I combine technical acumen with practical applications to enhance health and fitness routines.

With a strong command of computer vision and machine learning, along with my comprehensive educational background, I am dedicated to exploring new technological advancements. My goal is to continue contributing meaningful solutions to the AI landscape, driven by a blend of creativity, technical expertise, and a keen understanding of user needs.

Professional Experience

Research Assistant - Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

January 2023 - Present

Educational Technology Lab

Berlin, Germany

Lead on the 'Real-Time Gym Activity Recognition Using YOLOv7' project, involving real-time analysis of webcam frames for gym activity recognition.
Successfully deployed the application on a Kubernetes server, demonstrating its practical use in gym settings.
Published papers on this project at the ECTEL Conference.
Managed GitHub repository: DFKI-fitsight.
Developed a live application available at: milki-psy.dbis.rwth-aachen.de/client.
Utilized Kubernetes for efficient deployment and management of applications and Kafka server for high-throughput real-time message processing.
Expertise in advanced Git operations and maintenance of CI/CD pipelines for smooth software delivery.
Implemented GitHub Actions for automated build and deployment processes on Kubernetes servers, enhancing deployment efficiency and reliability.
Established communication channels for real-time transmission of webcam frames and processed these frames using YOLOv7.

Contact for this Project: Milos Kravcik - Milos.Kravcik@dfki.de

Testing Manager - CTC Advanced Gmbh

June 2022 - December 2022

Smart Card Technologies

Saarbrucken, Germany

Worked on Smart Card Technologies, focusing on testing Visa and Mastercards for the "Tap for Pay" feature.

Research Assistant - CISPA Helmholtz Center for Information Security (CISPA)

January 2022 - June 2022

Sensor Fusion for Autonomous Vehicles.

Saarbrucken, Germany

Conducted research on Multi-sensor Fusion for Autonomous Vehicles.
Explored security aspects of Autonomous Driving Vehicles.
Used GPS, IMU, and 5G sensors for implementing Kalman filter for sensor fusion.
Implemented attack strategies and explored defense solutions for autonomous vehicle security.

Contact for this Project: Mridula Singh - Singh@cispa.de

Graduate Engineer Trainee - Xcelerator - Learn By Doing

Implemented machine learning ideas for a suggestion engine on the webpage.
Responsible for maintaining the suggestion engine webpage.

Education

Master of Science (M.Sc) - Saarland University

10/2022 – present | Saarbrücken, Germany

Specialization: Data Science and Artificial Intelligence

Topics in Algorithmic Data Analysis
High Level Computer Vision
Neural Networks: Theory and Implementation
Artificial Intelligence
Architectural Thinking for Intelligent Systems
Human Computer Interaction

Bachelor of Science (B.Sc) - CMR University

06/2016 – 06/2020 | Bengaluru, India

Specialization: Computer Science Engineering (CSE)

Security
Linux and Shell Programming
Machine Learning
Data Structures
Deep Learning
Software Engineering
Artificial Intelligence

Projects

Augmented Intelligence in Tutoring Systems - A Case Study in Real-time Pose Tracking to Enhance the Self-Learning of Fitness Exercises.
01/2023 –- present
- Performed research on self-learning methods for fitness exercises.
- Implemented a YOLO model to detect pose estimation.
- Published a paper at the ECTEL conference.
Multi Sensor Fusion for Autonomous Vehicles - Implementing a fusion approach to combine sensors for autonomous vehicles.
07/2022 – present
- Conducted research in the Security and Machine Learning domains.
- Collected real-world data using the Google Maps API and simulator data using the LGSVL Simulator.
Face Recognition - Research on face recognition models.
07/2019 – 05/2020
- Conducted research on face recognition models.
- Implemented a model based on learnings from Andrew Ng's teachings.

Publications

Augmented Intelligence in Tutoring Systems: A Case Study in Real-Time Pose Tracking to Enhance the Self-learning of Fitness Exercises
Springer ECTEL-2023, Published on 28/08/2023

Read the Paper
Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification, and Feedback
MILeS 2023 - the Third International Workshop on Multimodal Immersive Learning Systems, part of the Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), Published on 08/09/2023

Read the Paper