Michael Ball work email
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Michael Ball personal email
Machine learning engineer with 7+ years industry experience working at the intersection of engineering and machine learning. Previously worked on classical natural language processing and conversational AI; now focused on MLOps & generative deep learning. Excels at turning state-of-the-art machine learning experiments into robust, scalable, and exciting products.Currently building the ML for Vara's breast cancer screening platform. Previously led the engineering team building Oculid's eye movement analytics platform for UX research. Also exploring real-time music visualisation and other applications of generative models. Graduated from Brown University with Honors (2019) after completing undergraduate thesis ('RIPPED') and being awarded the senior prize for contributions to ML research.Languages: Python, Tensorflow \& TF-serving, Docker(-compose), PostgreSQL, Torch, Django \& Celery, JS \& React, BashTools: AWS (RDS, S3, ECS, EC2, SageMaker), Git, Terraform, Sentry, MLFlow, DVC, Jupyter/Colab, Gitlab CI, Tmux
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Machine Learning EngineerVaraBerlin, De -
Machine Learning EngineerVara Aug 2021 - PresentBerlin, Germany -
Engineering LeadOculid Sep 2020 - Jul 2021Berlin, GermanyI 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
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Machine Learning EngineerOculid Sep 2019 - Aug 2020Berlin, Germany- 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.
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Machine Learning ResearcherAmbit Jun 2018 - Jul 2019Auckland, New Zealand- 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 -
Software EngineerNextspace Jun 2018 - May 2019Auckland, New Zealand- 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. -
Software DeveloperBrown Space Engineering Student Group Jan 2017 - Oct 2017• 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
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Business Dev And Sales InternDavid Bozin, Lp Jun 2016 - Jun 2017• 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
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Academic ConsultantCrimson Education Mar 2015 - May 2017Provide academic and vocational consultation to clients striving for admission to the world's top universities.
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Technical Support RepresentativeLotto New Zealand Apr 2016 - Jun 2016• 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.
Michael Ball Skills
Michael Ball Education Details
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3.9 Gpa -
King'S College, Auckland, New ZealandDux (Valedictorian) - Highest Ranking Student In Academics.
Frequently Asked Questions about Michael Ball
What company does Michael Ball work for?
Michael Ball works for Vara
What is Michael Ball's role at the current company?
Michael Ball's current role is Machine Learning Engineer.
What is Michael Ball's email address?
Michael Ball's email address is mi****@****vara.ai
What schools did Michael Ball attend?
Michael Ball attended Brown University, King's College, Auckland, New Zealand.
What skills is Michael Ball known for?
Michael Ball has skills like Business Development, Start Ups, Entrepreneurship, Leadership, Public Speaking, Javascript, Java, Ios Development, Research, Financial Statements, Sales Operations, Microsoft Excel.
Who are Michael Ball's colleagues?
Michael Ball's colleagues are Mamati Gamer, Marc Youhanna, Lukas Hermann, Suvrat Apte, Pradip Yadav, Harshit Kumar Verma, Dr.shweta Mishra.
Not the Michael Ball you were looking for?
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Michael Ball
Geschäftsführer Bei Bundesverband Der Messstellen Für Umwelt- Und ArbeitsschutzGreater Hamburg Area -
1bpower.de -
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Michael Ball
Holzminden2gmail.com, symrise.com
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