Simon Simeonov Email & Phone Number

• Developed a SaaS data pipeline creation system, capable of schematizing and onboarding various data formats.
• Diligently investigated and resolved issues spanning the entire system, addressing challenges within a highly coupled architecture.
• Coordinated with teammates to improve system maintainability and observability, introduce higher code standards, and reduce complexity.

• Managed multiple responsibilities in a dynamic startup team. Facilitated quick feature delivery and bug-free client experience by building reusable infrastructure and tooling, defining engineering processes, and.
• Built and owned the Scheduling and Batch Data-Processing system components using Airflow/CloudComposer.
• Collaborated with the Data Science team to refactor the main algorithm (match-creation) and streamline development.
• Successfully automated the algorithm's execution in Google Cloud, Avoiding disruptions by incorporating sufficient alerting, testing, and deploying in stages.
• Implemented a simple microservice pattern using Cloud Run and Python/FastAPI, enabling rapid prototyping and quick feature delivery
• Designed and led projects spanning multiple system components, including DB/MongoDB, Airflow, match-creation algorithm, and individual microservices.

Sofia, Sofia City, Bulgaria

• Part of the design and development of a new multi-tenant self-serving data platform with batch and streaming capabilities.
• Lead the development of a Python CLI app to act as an entry point to the new platform. Work with stakeholders to identify requirements and improve UX.
• Lead an initiative to adopt static type testing in the team's Python code to provide higher guarantees of code correctness.
• Worked on the security components of the new data platform, implemented OAuth authentication with Okta and authorisation with JWT.
• Onboard and mentor junior team members. Define and assign appropriate tasks, monitor their progress and provide guidance and assistance.
• Participate in the recruitment process. Lead coding and algorithmic interviews. Define interview questions with expected acceptance criteria.

Sofia, Sofia City, Bulgaria

• Researched a rare b-quark decay mode using data from the LHCb experiment at CERN
• Employed machine learning and data analysis techniques to differentiate signal from background
• Built statistical models to perform sampling and evaluate confidence levels

• Researched Diffusion Optimised Monte Carlo Simulations
• Designed parameterisable model to run on a High Performance Computing cluster
• Implemented high-level simulation control (Python) with computational modules (C++, SWIG)

Bletchley Park, United Kingdom

• Analysed directed random test environment for IEEE 802.15.4 mesh network (C++).
• Produced specification for a library to be used in communications network testing.
• Advised on the creation of an innovative tool used to build directed random tests (Python).
• Translated regression tests from C++ to a corresponding Python interface and ensured identical behaviour.

• Organised in the development team of Vectorworks CAD & BIM software.
• Developed plugins in cooperation with other interns using Python and Vectorworks SDK (C++).
• Worked on bug fixing and acceptance testing.

Bachelor Of Science, Master Of Mathematics And Physics (With Honours), Mathematics And Physics

Diploma For Middle Education, Mathematics And Iformatics, 5.86 Out Of 6