ASFAK Naina Mohammed
@asfaknainamohammed
Detail-oriented AI engineer with a passion for intelligent systems.
What I'm looking for
I am a detail-oriented AI engineer currently pursuing a Master’s in Artificial Intelligence Engineering of Autonomous Systems at TH Ingolstadt. With a strong foundation in AI/ML, computer vision, control systems, and autonomous robotics, I am passionate about building intelligent systems that address real-world challenges in perception and decision-making.
In my recent role as an Assistant Manager at JSW Steel Ltd, I maintained and troubleshot Siemens S7-400 PLCs and SCADA systems, contributing to a 10% improvement in energy efficiency through control logic enhancements. My internship in EV Systems Testing & Validation allowed me to conduct performance testing and fault analysis, further solidifying my expertise in the field.
Experience
Work history, roles, and key accomplishments
Assistant Manager
JSW Steel Ltd
Aug 2023 - Present (2 years 4 months)
Maintained and troubleshot Siemens S7-400 PLCs, SCADA systems, and power drives. Supported drive commissioning and synchronization for ABB/Siemens systems, performing waveform-based diagnostics with IBA Analyzer to improve uptime.
Intern – EV Systems Testing & Validation
EV Systems Testing & Validation
Jan 2023 - Present (2 years 11 months)
Conducted performance testing and fault analysis for EV inverters. Assisted in simulation calibration and generated technical documentation.
Education
Degrees, certifications, and relevant coursework
Technische Hochschule Ingolstadt
Masters in Artificial Intelligence Engineering of Autonomous Systems, Artificial Intelligence Engineering of Autonomous Systems
2025 -
Currently pursuing a Master’s in Artificial Intelligence Engineering of Autonomous Systems at TH Ingolstadt. Specializing in Embedded AI, Cognitive Systems, and Generative AI, with coursework in Machine Perception, Statistical Classifiers, Feature Selection, LLMs, and Control Systems.
Sri Krishna College of Engineering and Technology
B.E. Electrical Electronics Engineering, Electrical Electronics Engineering
2019 - 2023
Grade: 1.4/5-Very Good
Focused on Microcontrollers, C, MATLAB, Control Systems, and Power Electronics. Achieved a grade of 1.4/5 (Very Good).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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