Rohit Thakur - AI Engineering Manager

About Me

Highly accomplished AI Engineering Manager with 6+ years of comprehensive experience in solving complex technical challenges and implementing innovative AI solutions. Proven track record of driving technological innovation, integrating advanced deep learning technologies, and delivering high-impact results across diverse projects. Expert in Agile methodologies (SAFe) with a strong focus on operational efficiency, strategic AI implementation, and cross-functional team leadership.

Programming Languages

Python
C++
SQL
R
Java

AI/ML Frameworks

TensorFlow
PyTorch
Keras
OpenCV
ONNX

Deep Learning Libraries

Pandas
scikit-learn
MediaPipe
YOLOv5/v8

Development Tools

Git
Docker
MLFlow
Jupyter
Spark
Kafka
Hadoop

Cloud Platforms

Azure Machine Learning
Google Colab
Kubernetes
Databricks

Advanced Techniques

LSTM Autoencoders
Energy Optimization
Predictive Maintenance

Download Resume

AI/ML Development

Computer Vision

Python

TensorFlow/PyTorch

Team Leadership

Agile (SAFe)

Experience

AI Engineering Manager

OpenSysNet Co., Ltd.

May 2022 - Present

Lead a team of 10+ AI engineers, implementing Scaled Agile Framework (SAFe), conducting code reviews, and executing strategic AI initiatives aligned with business objectives.

Research & Development Engineer

Pittasoft Co., Ltd.

September 2017 - April 2022

Led development of Advanced Driver Assistance Systems (ADAS), Driver Monitoring Systems (DMS), and sophisticated image processing solutions.

Key Projects

Pantograph Monitoring System (PMS)

Led development of real-time fault detection system for railway infrastructure
Achieved 95.5% accuracy in detecting arcing and contact point misalignments
Integrated YOLOv8 and edge processing for proactive maintenance
Reduced potential safety risks and maintenance costs

Golf Swing Analysis System

Developed advanced deep learning model for comprehensive golf swing detection
Implemented cutting-edge computer vision techniques
Measured accuracy using Mean Per Joint Position Error (MPJPE) and Precision Confidence Evaluation (PCE)
Created a sophisticated system for athletic performance tracking

Server Fan Speed Optimization Project

Designed innovative energy-efficient optimization algorithms
Leveraged Gradient Boosting algorithms and LSTM (Long Short-Term Memory) models
Developed predictive models for fan speed management
Implemented correlation analysis for energy consumption
Significantly improved server energy efficiency and operational performance

Sorting Robot Vision System

Designed and implemented AI-powered object detection system
Achieved 99.5% mAP@50 accuracy in object recognition
Integrated with Mint Robot for automated picking processes
Improved manufacturing operational efficiency by 20%

Energy Consumption Prediction and Anomaly Detection

Developed LSTM-based deep learning models for server systems and smart buildings
Deployed LSTM Autoencoder for anomaly detection using Mean Squared Error (MSE) analysis
Achieved 12.3% Mean Absolute Percentage Error (MAPE) in prediction
Identified and mitigated energy inefficiencies

Education

M.S. in Electrical Engineering & Computer Science

Gwangju Institute of Science and Technology (GIST)

2017

Specialization: Artificial Intelligence and Machine Learning

Advanced research in deep learning and computer vision

B.Tech. in Electronics and Communication Engineering

Green Hills Engineering College, Himachal Pradesh, India

2014

Focused on signal processing and communication technologies

Publications and Research

"Energy Consumption Prediction Using LSTM Models"

International Conference on Machine Learning and Applications (ICMLA)

"Concurrent Food Localization and Recognition"

Korean Institute of Communications & Information Sciences (KICS), 2017

"Augmentation of RGB Dataset for Improved Performance on Infrared Classifier"

Electronics & Information Communications Conference, 2016

Hi, I'm Rohit Thakur