Lev Dashevskiy Email & Phone Number

Kirkland, WA, US

Reading, MA, US

• For an ESG global market infrastructure company (Xpansiv):
• Migrated an invoicing functionality integrated with Oracle's Netsuite product from monolithic to a microservices type architecture
• Added a trade notification functionality to the trading engine for the gas market
• Created a data pipeline for automatically transferring, depositing, and when needed sanitizing data necessary for the platform
• Introduced and evangelized Git pre-commit hooks that include automated code formatting and linting in order to provide a streamlined and standardized code base
• Created Docker based tooling for convenient access to Avro-encoded Kafka messages that cannot be logged because they contain PII

Tallinn, Estonia, EE

• For a large telecommunications company (T-Mobile), third project:
• Worked on:
• analyzing the features of an existing, inflexible, proprietary 3rd party business tool
• translating customer needs stemming from using this tool into actionable items, technical specs, and deliverables
• solving those existing challenges by developing a suitable in-house highly concurrent, distributed, and resilient message-driven system with an Angular front-end and a Scala (Akka based) back-end, which interfaces with.
• The solution included:

Tallinn, Estonia, EE

• For a major online retailer (Zappos):
• Rewrote a big data pipeline from a Lambda based serverless approach to an on demand ephemeral EMR Spark cluster, thus reducing the computational cost by a factor of 2.5, which resulted in annual savings of about.
• Onboarded a new customer to the platform, integrating their data into an existing schema by creating a robust, reusable, testable ETL big data pipeline with data integrity validationTechnologies: Spark, Databricks.

Tallinn, Estonia, EE

• For a large telecommunications company (T-Mobile), second project:
• Developed in Scala an ETL functionality that reads in data from 2 different MS SQL Server databases as well as an existing Hive database into a AWS Spark processing cluster, joins and merges the data according to.
• Improved an existing Terraform script to be able to quickly spin up a new AWS cluster instance on demand
• Rid the core of the product functionality of unused Scala code
• Introduced and evangelized Git pre-commit hooks for each developer that verified that their code was linted and building correctly before being committed and pushed
• Made the Hive datastore more reliable by automatically syncing it with the actual database on a regular basis across 3 development environments

Tallinn, Estonia, EE

• For a large telecommunications company (T-Mobile), first project:
• Developed a PySpark application that reads telemetry (CPU, network, and memory utilizations) of Docker containers running in Marathon Mesos and Kubernetes, processes it according to business rules, saves summary.
• Built a new CI/CD pipeline that includes a custom Artifactory testing/building Docker image as well as the automated logic to run all of the tests and then upon a successful completion to generate a working library.
• With this new functionality from the above uncovered wasted resources over a year costing several hundred thousands of dollarsTechnologies: Spark, Databricks, Python, Azure, MS SQL Server, Docker, Jenkins, SonarQube.

Seattle, WA, US

• Vaccine and Infectious Disease Division
• Led a team of 5 with a $1M annual budget
• Set and prioritized goals and efforts for daily tasks as well as long term e.g. drafting a yearly roadmap
• Translated customer and internal needs into actionable items, technical specs, and deliverables e.g. initiated automated UI testing and study compliance frameworks, greatly enhancing the platform’s reliability
• Provided guidance, performance reviews, and support to junior developers, ensuring that timelines are met
• Continuously improved and documented intra-team communication protocols and policies for development, testing, and deployment best practices e.g. defined the standards and enforced the rules for portal’s data.

Seattle, WA, US

• Vaccine and Infectious Disease Division
• Developed and thoroughly tested numerous portable modules for the open source collaborative LabKey web server platform - they consisted of the front-end cross-browser UI as well as several back-ends: custom schema.
• For a computational biostatistics tool used for high-volume flow cytometry data analysis and visualization:
• analyzed and profiled its performance
• made suggestions for its improvement to work faster, be more efficient and portable
• gains of 2 orders of magnitude in speed were realized after the changes were implemented

Alpharetta, GA, US

• Mathematical Modeling DivisionThe main objective of my work in the field of high performance computing was, based on the theoretical ideas of the Dual Simplex algorithm, to create a flexible and robust product, which.
• Systematically analyzed the algorithmic approach with its idealistic assumptions
• Identified and designed appropriate architectural and structural solutions (considering hardware’s physical limitations)
• Implemented, tested, and enhanced individual components, then synthesized them together into a working industry-level solverThe key development steps undertaken were:
• Monitored numerical stability and thus ensured algorithm’s convergence
• Used sophisticated multi-level safety checks and loop-backs not to let the algorithm crash

Atlanta, Georgia, US

• Research Department
• Designed and coded parts of a system used to collect economic data from local businesses, to store, organize, aggregate, and visualize the results for the Bank’s analystsTechnologies: PHP, GWT, JavaScript, HTML, CSS.
• Automated, profiled, and optimized financial and econometric forecasting mathematical modelsTechnologies: MATLAB, Visual Basic

Scottsdale, AZ, US

• OR Group, Service Industries DepartmentWas part of the team working on air cargo revenue management products
• Designed and coded tools for automatically assessing the quality of demand forecasts for clients
• Ran complex DB queries to identify, analyze and explain instances of unexpected behavior in an in-house optimization systemTechnologies: SQL, bash, in-house software

Atlanta, Georgia, US

• OR Group, Strategic Planning DepartmentWas part of the team working on the Crew Planning Tool
• Created intuitive, comfortable graphical interface for user input
• Formulated scheduling simulation and optimization models to be tested in-houseTechnologies: Adobe Flex (Action Script), in-house software

Atlanta, Georgia, US

• Mathematics Department
• Managed a class of about 35 students.
• Prepared presentations and handouts for them.
• Gave lectures to aid them in development of problem-solving skills.
• Continuously evaluated their performance and gave them feedback for improvement.

Atlanta, Georgia, US

• Department of Electrical and Computer Engineering
• Developed semi-automated calculation procedures for optical devices
• Specifically, implemented Abel transform numerically, designed, coded and optimized algorithms for image processingTechnologies: MATLAB

Bachelor Of Science Degree, Computer Engineering

Masters Of Science Degree, Operations Research