I’m a hardware optimization and AI enthusiast with a strong foundation in FPGA/edge AI, computer vision, and ML systems. I’ve designed scalable, hardware-aware AI solutions and worked on end-to-end AI agent design, from model acceleration to orchestration and retrieval-augmented generation. I enjoy cross-disciplinary problem-solving and teaching, and I’m motivated by building practical AI hardware-software co-designs that perform reliably in real-world environments. Beyond engineering, I’ve mentored students in circuits and signal processing, collaborated on interdisciplinary projects, and contributed to research in hyperspectral imaging and AI for power systems. I’m eager to apply my hands-on experience in AI hardware acceleration, ML engineering, and systems design to roles that bridge hardware and software to create innovative, robust AI solutions.

Achref Chakroun

I’m a hardware optimization and AI enthusiast with a strong foundation in FPGA/edge AI, computer vision, and ML systems. I’ve designed scalable, hardware-aware AI solutions and worked on end-to-end AI agent design, from model acceleration to orchestration and retrieval-augmented generation. I enjoy cross-disciplinary problem-solving and teaching, and I’m motivated by building practical AI hardware-software co-designs that perform reliably in real-world environments. Beyond engineering, I’ve mentored students in circuits and signal processing, collaborated on interdisciplinary projects, and contributed to research in hyperspectral imaging and AI for power systems. I’m eager to apply my hands-on experience in AI hardware acceleration, ML engineering, and systems design to roles that bridge hardware and software to create innovative, robust AI solutions.

Available to hire

I’m a hardware optimization and AI enthusiast with a strong foundation in FPGA/edge AI, computer vision, and ML systems. I’ve designed scalable, hardware-aware AI solutions and worked on end-to-end AI agent design, from model acceleration to orchestration and retrieval-augmented generation. I enjoy cross-disciplinary problem-solving and teaching, and I’m motivated by building practical AI hardware-software co-designs that perform reliably in real-world environments.

Beyond engineering, I’ve mentored students in circuits and signal processing, collaborated on interdisciplinary projects, and contributed to research in hyperspectral imaging and AI for power systems. I’m eager to apply my hands-on experience in AI hardware acceleration, ML engineering, and systems design to roles that bridge hardware and software to create innovative, robust AI solutions.

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Experience Level

Expert
Expert
Expert
Expert

Language

French
Fluent
English
Fluent

Work Experience

End-of-studies Internship at Laboratory of Robotics, Computing, and Complex Systems (RISC-ENIT)
June 1, 2020 - May 31, 2021
Designed and implemented spatio-spectral classification techniques for hyperspectral images applied to agriculture; synthesized hyperspectral images using the USGS spectral library; developed and trained convolutional neural networks for hyperspectral image classification.
Teaching Assistant – Digital Systems Prototyping for graduate students at Université du Québec à Rimouski (UQAR)
January 1, 2024 - August 31, 2024
Supported graduate-level courses in digital systems prototyping, guiding projects and labs, and assisting students with design and debugging of hardware-software co-designs.
Teaching Assistant – Signal Processing for undergraduate level at Université du Québec à Rimouski (UQAR)
September 1, 2024 - December 31, 2024
Led labs and tutorials in signal processing, taught frequency analysis, Z-transform, and DSP techniques; evaluated assignments and helped students with coursework.
Teaching Assistant – Logic Circuits for undergraduate students at Université du Québec à Rimouski (UQAR)
January 1, 2025 - April 30, 2025
Delivered and supported labs on combinational and sequential logic; assisted with student projects; provided feedback on assignments.
AI Software Developer (Internship) at Opal-RT Technologies
September 1, 2025 - January 31, 2026
Designed and implemented a conversational AI agent for power-system component modeling using LLMs, structured state machines, and deterministic code generation. Built a LangGraph-based orchestration layer with explicit state transitions, intent routing, and tool invocation. Integrated retrieval-augmented generation pipelines to ground responses in technical documentation and mitigate hallucinations. Implemented short- and long-term memory mechanisms to preserve conversational context across iterative design interactions.

Education

Préparatory program for engineering studies at Institute Préparatoire des Études d'Ingénieur, Tunis
September 1, 2014 - July 31, 2017
Bachelor's degree in Electrical Engineering at Université du Québec à Rimouski (UQAR)
September 1, 2017 - July 31, 2021
Master's degree in Engineering at Université du Québec à Rimouski (UQAR)
September 1, 2022 - December 31, 2025

Qualifications

IELTS
January 11, 2030 - January 6, 2026
Growth with Google – Coursera program
January 11, 2030 - January 6, 2026
Injaz Tunisia Certification
January 11, 2030 - January 6, 2026

Industry Experience

Computers & Electronics, Software & Internet, Education, Professional Services, Other