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About Me
Siavash (See-ya-vash) Sakhavi — AI Engineer and mentor.
My name is Siavash (See-ya-vash) Sakhavi. Nice to meet you!
I am Iranian, married, have two children, and live in Singapore.
How would I describe myself?
I’m a resourceful person due to reading and digesting topics spanning from Software Engineering, to Machine Learning, to Project Management.
I always like a new challenge and constantly try to learn and implement new technologies. For example, I’m interested in Functional Programming and Declarative Programming and how machine learning code can borrow the concepts.
I question concepts and ways things are implemented and try to find better ways for them to work in the situation I have.
Work Background
AI Singapore (2020-Present)
I am a Senior AI Engineer @ AI Singapore and Assistant Head for the 100E Program. My responsibilities are:
- Leading and Mentoring AIAP apprentices during 100E projects.
- Consulting and guiding the Pre-sales team for 100E project scoping
- Talent Development under the AIAP and AIDP programs
- Technical Writing for Knowledge Management
- Onboarding new engineers on the 100E team
Some of the 100E Projects I’ve been involved in:
| Project | Domain | Model Types |
|---|---|---|
| Detecting Nautical Objects from on-board cameras | CV | RCNN, YOLO |
| Generating Narratives from News and Reports | NLP | Transformers |
| Creating HD Maps from LIDAR Point-Cloud and RGB Images | CV | Similarity-Based |
| Fault Detection and Prediction in IoT Sensor Data | Signal | Signal Modelling, CNN |
| Open-set Audio Classification on Edge Devices | Audio, CV | CNN |
KroniKare (2017-2020)
I was the founding engineer and Lead AI Scientist @ KroniKare, a start-up company focusing on AI solutions for wound analysis and management. I was working on the training, evaluation and deployment of machine learning / deep learning models, on edge and on the cloud.
I was also Product Manager and Developer for the KroniKare Data Collection and AI (KDCAI) Android Application.
Skills and Achievements:
- Mentored apprentices under the AISG apprenticeship program (AIAP)
- Supervised students from Republic Polytechnic (RP) under their specialist diploma program
- Successfully completed POC trials at multiple healthcare institutes
- Actively involved as a product manager in the software project development.
- Trained hundreds of nurses for the use of the KroniKare wound scanner application
- Helped with the implementation of ISO 13485 and IEC 62304.
Academic Background
I was a Biomedical Engineering (Bio-Electrics) student at Amirkabir University of Technology during my bachelors. My Project Supervisor during this time was Dr. VahidReza Nafisi. My focus was designing and developing a system for recording and analyzing wrist pulse signals based on traditional Iranian medicine.
For my masters I was at Sharif University of Technology under the supervision of Dr. Mohammad Bagher Shamsollahi, a guru in the field of Signal Processing and Time-Frequency Analysis. My project was designing an Error-Potential Based Task for BCI applications.
For my PhD, I was part of a joint PhD program between A*STAR and NUS. I was mainly based in the Brain-Computer Interface Lab @ A*STAR. I was working under the supervision of Dr. Guan Cuntai and Dr. Yan Shuicheng. My thesis is on the application of Deep Learning Methods in Brain-Computer Interfaces. I also worked on Object Detection and Proposal Generation during my third year when I was stationed at the Learning and Vision Lab @ NUS.