"The product is secondary to the storytelling." ~ Zosia Mamet

Ph.D. - Advanced Intelligent Systems Engineering, Tokushima University (2019-2022)

• Research on embedded learning for edge computing
• Coursework in embedded systems, maths, pattern recognition

Masters in Systems Innovation Engineering, Tokushima University (2017-2019)

• Best paper award, Taiwan Industrial Application Conference
• Departmental Honors and Recognition, 4.2/5.0 GPA
• Coursework in maths, engineering, image processing, information science

Online Courses

• Deep Learning Specialization (Deeplearning.ai, Andrew Ng)
• Certified Kubernetes Administrator (CKA)

Architecture agnostic inference optimization (2019-present, Tokyo JP)

• Auto-Differentiated Fixed Point Notation on Low-powered Hardware Acceleration

Assistive intelligence in human-in-the-loop systems (2019-2021, Tokushima JP)

• Mitigating constraints in load balancing and scheduling in embedded systems with ensemble models
• Comparative study of BatchEnsemble for multi-object tracking approximations
• Auto-differentiation with fixed-point scalars (Q-format) in embedded systems

Psychological safety approximator using LSTM (NeurIPS2018 BAI workshop, Montreal CA)

• Modeling "group etiquette" consensus based on sociologist Dr. Edmondson work on psychological safety
• Estimating the collective IQ of a group using recurrent network principles
• Predicting team performance based on a measure of "cohesiveness" of the members

Zebra fish detection and tracking (2018, Tokyo JP)

• Early attempts at multi-object tracking algorithms (unrelated to MOT 3D-ZeF challenge)
• Part of a color and precision calibration of a prototype ToF camera
• Experimented with 3D point-cloud technology (hardware and software)

Principal Researcher, CIS Corporation Japan (2018-present, Tokyo JP)

• Modeling and simulation in Python, and PoC in C++.
• Design and execute high-precision tracking and detection experiments across multiple use-cases.
• Rapid prototyping on TI Sitara AM572x and NVIDIA Jetson Nano

Founder, Ceable (2012-present, -)

• Deep-tech in cloud architecture, distributed computing, edge AI,
• Microservices APIs for B2B, B2C, open-banking, small business,
• Software development projects for SMEs,

Senior Manager e-commerce, RwandAir (2010-2013, Kigali RW)

• In charge of end-to-end digital travel management, including revenue collection and loyalty
• Designed and deployed the first-ever credit card payment processing in Rwanda for the national airline
• Managed day-to-day fraud detection and prevention on the online ticket booking system
• Planned and managed inflight entertainment systems for 2 brand new Boeing 737-800NG

Instructor (contract), Future Architects Japan (2019, Tokyo JP)

• Fundamentals of machine learning and deep learning
• Practical demos on core algorithms in deep learning
• Kaggle project for competitive research

Mentor (volunteer), Imbuto Foundation Rwanda (2012-2015, Kigali RW)

• Designated guardian for orphaned girls with little to no kinship
• Speaker/influencer on self-confidence & public speaking for boarding school girls

Mentor (volunteer), K-Lab Rwanda (2012-2015, Kigali RW)

• Coding instructor for first-time learners
• Advocacy in tech and programming

• Kagglers of Rwanda, Discord community founder/manager of Rwandan competitive data scientists (2019-2021)
• All.Code.Everything, YouTube channel turning ideas into code (2020-present)
• Imbuto Foundation Mentor, Share leadership skills with young girls (2012-2015)
• K-lab Mentor, Advocacy on the basics of modern programming (2013-2014)

Application Programming: Python, C++, Java, Go, TypeScript

Systems Programming: Ubuntu, Git, Docker, Kubernetes, serverless, service-mesh

Machine Learning Modeling: Mojo, PyTorch, TensorFlow, JAX

• Taiwan IASTEM Best Paper Award 2019, Conference on Robotics & Vision Engineering (2019)
• ABE/JICA Scholar, Recipient of a grant for business linkages with Japan
• IATA Emergency Response Planning, IATA Certified Emergency Response Planner (2013)
• Imbuto Foundation Mentor Recognition, Girls empowerment volunteer recognition (2012)
• Boeing Travel Product Manager Certificate, Boeing Marketing Academy (2011)
• IATA Fare Construction, IATA Certified Operator (2010)

• Nsinga, R., Karungaru, S., Terada, K., "Auto-Differentiated Fixed Point Notation on Low-powered Hardware Acceleration", Journal of Signal Processing/RISP 2022
• Nsinga, R., Karungaru, S., Terada, K., "A Comparative Study of BatchEnsemble for Multi-Object Tracking Approximations in Embedded Vision ", Proceedings of Quality Control by Artificial Vision QCAV (2021)
• Nsinga, R., Karungaru, S., "Mitigating Constraints in Load Balancing and Scheduling in Embedded Systems with Ensemble Models", 6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (2020)
• Nsinga, R., Karungaru, S., "Predictive Analysis of Cohesiveness in Multivariate Sequences Using Recurrent Neural Networks", Proceedings of 166th IASTEM (2019)
• Nsinga, R., Karungaru, S., "Benchmarking Organizational Performance Dynamics Using Memory Cells Recurrent Neural Networks", IIAE CONFERENCE SYSTEM, The 6th IIAE International Conference on Industrial Application Engineering (2018)