Resume | Mihai Anton
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Master’s in Data Science
Sep 2020 - Jul 2023 | Netherlands
Bachelor’s in Computer Science
Nov 2017 – Jul 2020 | Romania
Mathematics and Computer Science
Sep 2013 – Jun 2017 | Romania
Software Engineer Intern
Sep 2022 - Present | Zürich, Switzerland
Working in the User Location team improving the AI tools for GeoLocation. Using C++ and MapReduce to build a distributed data pipeline. Our clients include Maps, Ads and Search.
Senior Software Engineer
Oct 2020 - Present | Remote
Working as a freelancer on Data Science and Full Stack projects. Handling the whole product lifecycle, including planning, implementation and deployment. Leading a project at uplift.ltd and working on internal tools.
Working close with clients like Interflexion, CollectorAlerts and PerfectlyPitched. Helped them outline a roadmap, design & develop the product and onboard their first 30K users.
Jan 2021 - Present | Cluj-Napoca, RO
Lowering the entry barrier for Machine Learning by automating the flow from customer’s raw data to deployed prediction models, offering in-depth analytics on data, models, and API usage.
Actively seeking seed investment and talking to customers to better define the product-market fit.
Jul 2020 - Sep 2022 | London, UK & New York, US
London, UK (remote) - intern: While in the News Feeds department I moved existing services to Docker, making development flows smoother, impacting more than 300 engineers. I collaborated with stakeholders, identified their needs, and implemented the migration.
London, UK (remote) - intern: Built a cache infrastructure for map- ping users to communities that currently serves 200 requests/second, significantly improving the loading time client-side. Used C++ and Python for development, Redis for building the cache layer and RabbitMQ for listening to database updates. Collaborated with the Sharing Framework to implement and integrate the cache infrastruc- ture with their existing system.
Sept 2019 – Dec 2019 | Cluj-Napoca, RO
Used machine learning to do customer segmentation and built a recommendation system for Metro’s wholesale business.
Designed a scalable Enterprise Resource Planning architecture in order to support data-driven decisions.
Data Science Intern
Jul 2019 – Sep 2019 | Cluj-Napoca, RO
Worked on anomaly detection in videos containing thermal events. Starting from unlabeled videos of running circuit boards, built a clas- sification model which decided, for each frame, whether or not it had an anomaly (contained fire or smoke). Used Keras for building the Convolutional Neural Network.
Teacher at "Hai la Olimpiada"
Feb 2020 | Cluj-Napoca, RO
Helped high school students who were interested in the National Olympiad in Informatics by presenting various algorithms and solving problems.
Data Structures | Machine Learning | Algorithms | Graph Theory | OOP
Proficient in TypeScript, Python, C/C++, Git, Docker
Working Full-Stack with Django | React | NEXT.js | AWS/Heroku/DigitalOcean Deployments | Operating Systems | Design patterns | Testing
Experience with PyTorch, Keras, Pandas, Redis, RabbitMQ, GCloud, CI/CD tools, GraphQL, Postgres
Problem Solving, Client Communication, Adaptability, Project Management, Leadership, Team Work
What are my clients saying?
"Mihai is ambitious and a quick learner. A strong team leader who can make product recommendations and put them into practice."
"AutoML is becoming big in the IT industry. AI Flow is a competent and resilient team. I trust Mihai he can make progress fast and make a business of this."
"You did a FANTASTIC job on the user flows! Everything makes clear, logical sense and it's pretty much exactly as I imagined it. Thank you!"