Hiteshkumar Kumawat

• Drove production transition of a lab-developed drilling depth prediction model for Airbus's Connected Drilling digital assembly program, targeting a 30–40% increase in tool life, with Airbus engineering standards and approved tooling. • Operated across the full ML lifecycle — data extraction (SQL), data processing, model training (AWS, SageMaker), model integration, and CI/CD testing — using Python, PyTorch, AWS, SageMaker, SQL, Docker, Jenkins, Git, and Jira in an agile delivery environment.

At FKS TUHH since August 2020, I've led three pivotal projects: 1: Implementation on AI based predictive maintenance solutions for aircraft galley components . 2: Implementation of AI for efficient airline catering system 3: Development of data driven cabin services and smart components for futuristic aircraft cabin. Skills: Python· RabbitMQ · InfluxDB · Flask · ETL · Docker · Data Analytics · Machine Learning · IoT· Data Science · MLOps · Raspberry Pi · JavaScript · MBSE· CoralTPU · Project management

• Data analysis and pre-processing for mathematical and machine learning models. • Expertise in implementing machine learning models such as Random Forest and Linear Regression. • Skilled in developing web services and APIs on the Docker platform for client solutions. • Successfully contributed to price optimization and prediction ML model for a logistics organization in Germany. • Prepared and delivered impactful presentation documents to explain project. approaches and solutions to clients.

I have worked as a trainee engineering in Automation and Electronics Instrumentation department : Electrical Panel Planning and Designing, Function Block Diagram development to control the process of Machines, PLC programming to implement automation in the Pharma Machinery.

Task: PLC training (Allen Bradley and Siemens) SCADA System training(Wonder ware and WinCC)

•Machine Learning, Deep Neural Networks, Digital Information Processing and Communication Systems. •Automation Lab, UML, FPGA and Microcontroller, Distributed Control System, •Participation in lectures and conferences in the field of Artificial Intelligence.

• Instrumentation Measurement 1&2 • Control Theory • Programmable Automation Controller • Digital Signals and System • Micro controller 8051 and Microprocessor 8085