
Michael Ball
Academic Consultant

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About me
Machine Learning Engineer at Vara
Education

King's College, Auckland, New Zealand
2010 - 2014High School Dux (Valedictorian) - highest ranking student in academics.
Brown University
2015 - 2019Bachelor of Science - BS w. Honors Computer Science 3.9 GPAActivities and Societies: Deep Learning @ Brown research group, Brown Space Engineering software development team, computational linguistics research group, 1st XV Rugby Team (treasurer). Computer Science: major focus = machine learning/deep learning/natural language processing.Other areas: maths (honors linear algebra, probability & statistics), neuroscience (neurobiology of the brain), linguistics (lexical/compositional semantics), physics (esp. electricity/magnetism).
Experience

Crimson Education
Mar 2015 - May 2017Academic ConsultantProvide academic and vocational consultation to clients striving for admission to the world's top universities.

Lotto New Zealand
Apr 2016 - Jun 2016Technical Support Representative• Listened to, analysed and resolved technical issues for customers and clients, including payment processing and Eftpos support, website issues, and contractor demands. • Documented processes and relationships in Microsoft CRM.

David Bozin, LP
Jun 2016 - Jun 2017Business Dev and Sales Intern• Worked with companies like Roomdots, Sodio, Mixmax, & Fashiontap • Business dev activities including market and competitor research, lead compilation, outreach and inbound management.• Investor/ partnership deck creation & campaign design• Financial modelling• Startup hustle

Brown Space Engineering Student Group
Jan 2017 - Oct 2017Software Developer• Sending a CubeSAT satellite to the International Space Station. Working on the conversion of sensor-data to usable products, database management and the satellite website. • Full-stack Javascript

Ambit
Jun 2018 - Jul 2019Machine Learning Researcher- Implemented a SOTA natural language understanding platform (intent-classification, entity extraction, parsing, & state tracking)- Initiated and oversaw the transition from classical NLP to fine-tuned recurrent neural networks throughout Ambit's product- Built a multi-stage preprocessing pipeline into existing product architecture; decreased preprocessing error rate by 24%- Led research into multi-task, continual learning; enabled us to reuse core feature extraction model for multiple downstream tasks Show less

Nextspace
Jun 2018 - May 2019Software Engineer- Co-led the team developing a centralised Django backend for low-latency aggregation of messy, large-scale data sources- Built a network of Django microservices connecting our central server to government infrastructure data sources throughout NZ.- Built an interactive 3D mapping \& visualisation platform for the management of Auckland City Council public health infrastructure.

Oculid
Sept 2019 - Jul 2021I managed all of Oculid's production infrastructure, machine learning engineering, and software (excl. mobile). Some of the things I've done so far are:- Designed, implemented, and maintained all production infrastructure (AWS, Terraform, Docker, Sentry, Gitlab CI, etc.)- Led the company's transition from notebook hacking to serving models in production: data versioning w. DVC, experiment tracking & CI/CD w. MLFlow, and continuous testing and monitoring of production models with custom tools- Built a standalone data pipeline for automated data collection (enabling Oculid to collect the largest gaze prediction dataset in the world)- Designed and implemented GDPR processes in line with industry best practices.- Guided software engineering team growth: defined roles, interviewed candidates, distributed tasks, and provided mentorship Show less - Built the repository used by entire data science team for preprocessing, training, fine-tuning, & evaluation of all models.- Achieved 8x speedup in serving predictions through optimisation of model server & refactoring of data preprocessing pipeline- Built a GPU scheduling & prioritisation service to optimise data science job management across our in-house hardware stack.- Redesigned our image feature extractor using a variety of recent CNN innovations; decreased model error by 9%.- Oversaw three month research project into edge computing, TFLite, & serving optimized models on mobile devices. Show less
Engineering Lead
Sept 2020 - Jul 2021Machine Learning Engineer
Sept 2019 - Aug 2020

Vara
Aug 2021 - nowMachine Learning Engineer
Licenses & Certifications

Duke of Edinburgh Silver
Duke Of Edinburgh Award Scheme
Trinity ATCL Diploma in Communications
Trinity College London
Volunteer Experience
Founder and Chairperson
Issued by Youth Empowerment Fund on Oct 2013
Associated with Michael BallYouth Telephone Counsellor
Issued by Lifeline New Zealand on Jan 2013
Associated with Michael BallSwearer Classroom Program Representative
Issued by Swearer Center for Public Service on Sept 2015
Associated with Michael Ball
Languages
- enEnglish
- geGerman
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