Denmark

Front-end

Back-end

Full stack

Data Scientist

Data engineering

Data Analysis

University of Copenhagen

University of Iasi

Vlad Manea

Senior Software Engineer, PhD

Public Speaking

Communication

Collaboration

Leadership

Machine learning

Apache Spark

ChatGPT

CircleCI

Databricks

Java

Contributing to the software and data engineering team in AudienceProject, a SaaS company empowering advertisers to make confident marketing decisions and reach their audience effectively.

• Developed a statistical method-based measurement system for advertising campaigns on Amazon.
• Developed an AWS cloud-based deep learning solution to predict user identities without demographic tracking. It can handle 34B entries daily, yield 2K features, and infer 96M times daily.
• Analyzed large-scale data for identity understanding, deriving insights from billions of data points.
• Experimented by implementing identity resolution algorithms, enhancing our data comprehension.
• Modernised and improved two existing deep-learning in the cloud projects' infrastructures.
• Streamlined and solidified our continuous deployment with documented steps for team continuity.

Technologies: scala, spark, delta, python, mxnet, databricks, aws, circleci, git.

Took part in LPSA, a startup aimed to elevate people's communication and leadership skills through confidence, organization, delivery, and excellence.

• Led public speaking sessions for Copenhagen Business School's Model United Nations team, prepping them for New York and Madrid events.
• Co-developed a holistic public speaking and leadership curriculum, later implemented in online webinars.
• Managed our online presence, ensuring our brand resonated with our mission on our website and digital / printed materials.

Led the data track at Steps, aimed to enhance social confidence through actionable insights.

• Collected, analyzed, and reported the user-provided data from two customer pilots.
• Optimized chatbot features, streamlining design tasks and improving the user experience.
• Qualified with the team for the University of Copenhagen Science Hub.

Technologies: javascript, node, aws, jql, git.

Developed three critical modules for the AAL-CoME and H2020-WellCo European projects (one year of full-time work during my PhD).

• Implemented and owned a physical health module that integrated surveys, health guidelines, and Nokia-Withings wearables, ensuring real-time health metric displays in their app.
• Implemented and owned the chronic disease risk module, synthesizing recent scientific models with wearable data to highlight "if you continue like this" or "if you change this" behavior scenarios.
• Implemented and owned the dementia risk factors module, comprising ten comprehensive health surveys. This API-based module was flawlessly embedded into the CoME user interface.

Technologies: java, spring, python, mongo, git.

Took part in the development team at Alipes, a company that trades fast using market news.

• Implemented a link predictor that identified over 100 news links quarterly in just a second.
• Optimized our internal workbench, reducing its runtime from 40 to 5 minutes.
• Implemented a few custom file parsers with sub-millisecond runtime.

Technologies: .net stack, c#, mssql, ants, git.

Led the technical work at Habitlab, aimed to help people build healthy habits that stick.

• Led the implementation of a software ecosystem: a habit framework, two iOS apps, and a web app. We ended up releasing as fast as Apple reviewed our changes.
• Led a five-member software team by professional growth and a harmonious work culture.
• Led the agile methods (Scrum, Kanban, pair programming).
• Qualified with the team for the Thinkubator think-tank and incubator by Singularity Nordic (7% acceptance rate, nine startups).

Technologies: javascript, node, sails, react, swift, mongo, aws, git.

While pursuing my master's, I contributed to three software engineering teams at e-conomic, Denmark's most intuitive accounting SaaS.

• In the platform team, I enhanced .NET libraries, cutting build time by 35% on developer machines.
• In the front-end team, I built an interpreter that converted 1.2K tests across JavaScript dialects.
• In the machine learning team, I prototyped account classification models in Azure Machine Learning.
• Worked with agile methods (Scrum, Kanban).

Technologies: .net, c#, javascript, node, react, mssql, azure, git.

Took part in the Google+ external APIs team.

• Implemented an API that supported Picasa account creation, used by 100,000 devices (estimated).
• Organized a Q&A session with an engineering director and 30 interns.
• Had a serendipitous encounter with Larry Page. :)

Technology: java.

Contributed to the development of the CRM Marketing Pilot 15 product in the user experience and localization teams.

• In the user experience team, developed and revamped 20+ UI controls, ensuring alignment with Microsoft Modern Design, and gently guided our UX designer to deliver timely and well.
• In the localization team, I standardized dates and times across the product's features.
• Worked with agile methods (Scrum, Kanban, pair programming - both pilot and co-pilot).

Technologies: .net, c#, javascript, mssql.

Contributed to the quality assurance of the Dynamics NAV 2013 product in two teams.

• Configured virtual environments for manual testing.
• Developed acceptance tests for new features in our product.
• Worked with agile methods (Scrum, Kanban, ATDD).

Technology: c/al.

While pursuing my bachelor's, I took part in Amazon's platform team.

• Implemented a cloud-based food-ordering web app with two other interns.
• Implemented Perl scripts that optimized results from frequent queries in the internal DNS.

Technologies: java, jsp, perl, aws.

Vlad Manea🇩🇰

Create an account to accelerate your career with expert mentors worldwide.