Computer Science – Resume Sample in PDF

• Developing machine learning algorithms in online fraud prevention.
• Developing enterprise grade software.
• Working in cloud environment.
• Designing Data Lakes and Big Data pipelines.
• Working with Big Data, in particular financial, using Apache Spark and
Apache Hadoop.

• Performing advanced analysis with multiple types of data (text, images,
etc.).
• Working on a daily basis with Apache Hive and Apache Hue.
• Designing and developing of Python based full-stack software.
• Visualization, both using custom-made software and using tools such as
Microsoft PowerBI.
• Decomposing needs expressed by business owners to requirements and
software design.
• Enforcing clean code rules along colleagues.

• Developing streaming applications using Apache Flink.
• Deploying streaming jobs via Mesos / DCOS / Kubernetes
• Developing real time system for behavioural analysis.
• Integrating Machine Learning algorithms with existing stream processing
system.
• Optimizing system performance by fine-tuning algorithms and stream processing workflows for real-time applications.

• Supervision over a group of programmers and testers (8 people in total).
• Implementation of Agile methodologies; team coaching
• Constant contact with Project Owner
• Managing project risks and issues, proactively finding solutions to keep projects on track.

• Design, implementation and deployment of applications for image analysis
for the recognition of license plates.
• Parameter tuning for poor lighting conditions, noise in data and uncertain
knowledge.
• Creation and implementation of algorithms to improve the quality of solutions
thanks to grouping algorithms and the data mining.
• Creating a website for streaming text analysis from LPR cameras (License
Plate Recognition), integration with existing systems.
• Real time data analysis, developing streaming algorithms.

• Conducting advanced research in machine learning, focusing on grouping algorithms.
• Designing and teaching courses in Java programming and system design.
• Supervising graduate and doctoral students in their research projects, guiding them in data analysis and algorithm development.
• Publishing research findings in peer-reviewed journals.

• Research and development of software for analysis of high-volume aviation
data.
• Batch and streaming data processing.
• Creating and designing error compensation algorithms.
• Created data visualization tools to present complex data in a user-friendly and interpretable manner for stakeholders.

• Assisting in teaching undergraduate courses in computer science.
• Providing academic support to students through tutoring sessions and laboratory work.
• Evaluating student performance through assessments and provided constructive feedback.
• Participating in curriculum development, contributing to the design of course materials.