Kartik Trivedi - Computer Vision and Machine Learning Engineer

Q: Where is Kartik based?

Kartik is based in Griesheim, Germany .

Q: What languages does Kartik speak?

Kartik speaks the following languages: Gujarati (Native), Hindi (Native), English (Advanced), German (Intermediate) .

Q: How many years of experience does Kartik have?

Kartik has at least 4 years of experience. During this time, Kartik has worked in at least 5 different roles and for 2 different companies . The average length of individual experience is 1 year and 9 months . Note that Kartik may not have shared all experience and actually has more experience.

Q: What is Kartik's latest experience?

Kartik's most recent position is Master Thesis Student at Fraunhofer LBF .

Q: What companies has Kartik worked for in recent years?

In recent years, Kartik has worked for Fraunhofer LBF and Utkarsh Engineering .

Q: Which industries is Kartik most experienced in?

Kartik is most experienced in industries like Energy , Utilities , and Automotive . Kartik also has some experience in Information Technology , Manufacturing , and Healthcare .

Q: Which business areas is Kartik most experienced in?

Kartik is most experienced in business areas like Information Technology , Operations , and Research and Development . Kartik also has some experience in Product Development .

Q: What is Kartik's education?

Kartik holds a Master in Electrical and Microsystems Engineering from OTH Regensburg and a Bachelor in Mechanical Engineering from Gujarat Technological University .

Q: Does Kartik have any certificates?

Kartik has 1 certificate : Machine Learning Specialization .

Recommended expert

Griesheim, Germany

Check rate

Experience

Sep 2025 - Present

11 months

Darmstadt, Germany

Master Thesis Student

Fraunhofer LBF

Topic: Object Detection and Semantic Segmentation for (AUV) Systems using Transformer-Based Vision Models and Sensor Fusion.
Designed and implemented an end-to-end multi-sensor fusion perception pipeline (Camera, LiDAR, IMU) in ROS
Developed CNN-based Machine Learning model (YOLOv8) and Transformer-based vision models for real-time object detection
Processed and clustered 3D LiDAR point clouds using DBSCAN, RANSAC, and voxel grid filtering to enable robust object localisation in noisy environments.
Designed Bayesian Network models (GeNle) for probabilistic reasoning and sensor-level decision fusion under uncertainty.
Applied Kalman filtering for sensor state estimation, temporal alignment, and smooth object tracking, reducing false positives in safety-critical scenarios.
Evaluated system performance under realistic driving dynamics, improving tracking stability and overall perception robustness.
Built deep learning pipelines for training, validation, and performance evaluation of perception models using sensor data.

Nov 2023 - Feb 2024

4 months

Bearing Fault Detection using Vibration Sensor Data

Engineered and trained a CNN-based deep learning classification model to categorise 12 distinct mechanical bearing fault types, achieving 98% classification accuracy.
Developed data preprocessing to filter noise from raw vibration sensor signals, for predictive maintenance.

Jul 2023 - Aug 2023

2 months

Behavioural Cloning: Autonomous Driving via Deep Learning

multi-modal dataset of 16,000+ simulator images across 3 camera angles to understand driving patterns.
Built a computer vision pipeline in Python/OpenCV for data augmentation for object detection.
Trained an end-to-end DNN to predict steering angles from real-time visual inputs.

Aug 2020 - Oct 2022

2 years 3 months

Surat, India

Lead Engineer

Utkarsh Engineering

Designed and deployed a regression-based ML model to predict auxiliary power consumption (APC), achieving 25% monthly cost savings through accurate declared capacity (DC) predictions.
Operated and monitored electrical systems at one of India's largest thermal power plants.
Collaborated with cross-functional engineering and operations teams to solve technical problems in a high-responsibility industrial environment.

May 2020 - Dec 2020

8 months

Robotics Simulation, Design and Kinematic Analysis

Designed and simulated an upper-limb industrial and rehabilitation exoskeleton.
Formulated and optimised forward/inverse kinematic models for a 3-DOF robotic arm using DH parameters.
Validated collaborative control algorithms in C++ integrated with CAD environments

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Energy, Utilities, Automotive, Information Technology, Manufacturing, and Healthcare.

Energy

Utilities

Automotive

Information Technology

Manufacturing

Healthcare

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Research and Development, Operations, and Product Development.

Information Technology

Research and Development

Operations

Product Development

Summary

Computer Vision and Machine Learning Engineer with applied research experience in autonomous and robotic perception systems at Fraunhofer institutes. Specialized in multi-sensor fusion using camera, LiDAR, RADAR, and IMU data, real-time object detection, semantic segmentation, probabilistic reasoning, and ROS-based deployment. Experienced in developing, validating, and optimizing ML/CV models for complex real-world engineering applications, with a strong focus on scalable data pipelines, and quantitative evaluation.

Skills

Programming: Python, C/C++, Sql
Machine Learning: Tensorflow, Pytorch, Scikit-Learn, Xgboost, Tensorrt
Computer Vision: Opencv, Yolov8, Open3d, Semantic Segmentation, Cnns
Robotics & Sensors: Ros, Lidar, Radar, Imu, Sensor Fusion, Kalman Filter
Data & Viz: Numpy, Pandas, Matplotlib, Power Bi, Time Series Analysis
Tools: Git, Gitlab, Linux, Docker, Autocad, Aws, Pyspark, Matlab

Languages

Gujarati

Native

Hindi

Native

English

Advanced

German

Intermediate

Education

Mar 2023 - Present

OTH Regensburg

M.Eng · Electrical and Microsystems Engineering · Regensburg, Germany

Jun 2016 - Aug 2020

Gujarat Technological University

B.Tech · Mechanical Engineering · Ahmedabad, India

Certifications & licenses

Machine Learning Specialization

Stanford University & DeepLearning.AI

Statistics

Experience

Total positions 5

Experience in Energy 2 y

Avg length 9 m

Longest experience 2 y 2 m

Global Experience

Countries worked in 2 (Germany, India)

Primary country Germany

Expertise

Recent roles Master Thesis Student, Bearing Fault Detection using Vibration Sensor Data, Behavioural Cloning: Autonomous Driving via Deep Learning

Main industries Energy, Utilities, Automotive

Main business areas Information Technology, Research and Development, Operations

Qualifications

Highest degree Master

Certifications earned 1

Profile

Created

July 2026

Need a freelancer? Find your match in seconds.

Try FRATCH GPT

Frequently asked questions

Have questions? Find more information here.

Where is Kartik based?

Kartik is based in Griesheim, Germany.

What languages does Kartik speak?

Kartik speaks the following languages: Gujarati (Native), Hindi (Native), English (Advanced), German (Intermediate).

How many years of experience does Kartik have?

Kartik has at least 4 years of experience. During this time, Kartik has worked in at least 5 different roles and for 2 different companies. The average length of individual experience is 1 year and 9 months. Note that Kartik may not have shared all experience and actually has more experience.

What roles would Kartik be best suited for?

Based on recent experience, Kartik would be well-suited for roles such as: Master Thesis Student, Bearing Fault Detection using Vibration Sensor Data, Behavioural Cloning: Autonomous Driving via Deep Learning.

What is Kartik's latest experience?

Kartik's most recent position is Master Thesis Student at Fraunhofer LBF.

What companies has Kartik worked for in recent years?

In recent years, Kartik has worked for Fraunhofer LBF and Utkarsh Engineering.

Which industries is Kartik most experienced in?

Kartik is most experienced in industries like Energy, Utilities, and Automotive. Kartik also has some experience in Information Technology, Manufacturing, and Healthcare.

Which business areas is Kartik most experienced in?

Kartik is most experienced in business areas like Information Technology, Operations, and Research and Development. Kartik also has some experience in Product Development.

What is Kartik's education?

Kartik holds a Master in Electrical and Microsystems Engineering from OTH Regensburg and a Bachelor in Mechanical Engineering from Gujarat Technological University.

Does Kartik have any certificates?

Kartik has 1 certificate: Machine Learning Specialization.

What is the availability of Kartik?

Kartik will be available full-time from July 2026.

What is the rate of Kartik?

Kartik's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.