Touhid Ahmed
About
M.Sc. Electrical Engineer (Automation) focused on building and evaluating applied AI systems. I build perception and decision pipelines, train and validate models, and evaluate system behavior. My current interests include Analog AI systems, deployment pipelines for AI on various hardware, and computing AI for communication networks.
Career Timeline
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–SEGULA Technologies GmbH · Rüsselsheim, Germany
Developed multiple backend and automation tools in Python for vehicle data and project reporting workflows.
Selected projects
Vehicle Fleet Management Web App
- Designed backend architecture with REST APIs, authentication, authorisation and reporting.
- Implemented unit, integration, and UAT tests.
Desktop Reporting Tool
- GUI for Excel parsing & report generation
- TOML-driven layouts with parquet caching.
- Trimmed down manual slide prep by ~30+ min/week.
RFQ Management Dashboard
- Built the preprocessing pipeline.
- Text extraction with OCR and image processing.
- Conducted a feasibility study of communication methods employed in Swarm vehicle testing.
- AI Recruiter: Automated candidate outreach by parsing LinkedIn profile data and prompt engineering using OpenAI API to compose personalized messages.
- Won 2nd place in DisrUPt 2023 for the "AI Recruiter" concept.
Implemented an algorithm in Python for turn detection in urban street networks using OSMnx for geospatial dataworkflows.
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–TechRoad GmbH · Darmstadt, Germany
- Worked on ECU modules, CAN, SOME/IP, Automotive Ethernet, and UDS protocol.
- Flashed the ECU module with the appropriate software release.
- Performed diagnostics checks via the CANoe Simulation tool.
- Verification, Validation, and Documentation of test results.
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–Dept. of Mathematics & Physics, North South University · Dhaka, Bangladesh
- Reviewed experiments before student use.
- Set up laboratory materials and maintained lab documentation.
- Demonstrated techniques and delivered preparatory lectures during labs.
- Evaluated and graded lab reports.
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–Dept. of Electrical & Computer Engineering, North South University · Dhaka, Bangladesh
Designed and developed a scalable multi-robot intruder detection system using Robot Operating System (ROS). The work was published in the 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
Technologies & Tools
ML libraries & Frameworks
Robotics & Control
Tools
Backend
Front end
Hobbies
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Movies & Series
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Anime
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Gaming
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Foodie