Vlad Birtocian

Technologies used: Python/FastAPI, React, git, docker, IAM, AuthN/AuthZ

Manage around a dozen engineers spread across multiple projects for one of our largest clients, while also dedicating some time to being hands-on.

• Aggregated delivery status reports from multi-disciplinary teams to unify progress tracking efforts across projects.
• Working with engineers across multiple areas of the business to help guide growth and provide feedback where needed

Technologies used: Python/Django, React, Gitlab, docker, Kubernetes, AWS, PostgreSQL, Cassandra, DynamoDB, Apache Kafka, Terraform, Kotlin, gRPC, DataDog, ELK stack

Managed multiple engineering teams working on complex technical problems that help rid the world of financial crime:

• Accountable for team delivery, technical direction and roadmap. Currently overseeing one of the largest technical projects.
• Provide technical leadership for teams and oversee adoption of good software engineering practices. Collaborated with staff/principal engineers in design of Event Driven architecture patterns used for new projects.
• Promote Agile ways of working and celebrate continuous improvement. Managed 2 teams working with different variations of Kanban and Scrum; responsible for team ceremonies and process improvement.
• Take part in technical discussions between team lead and help with setting milestones and bringing new technologies in, as needed
• Manage cross-team initiatives, facilitating discussion and communication across entire organisation
• Ongoing recruitment, taking part in technical and culture fit interviews for candidates

Technologies used: Python/Django, React, AWS Serverless, PostgreSQL, Cassandra, Github, APIs, pandas/pySpark, graphQL, elasticSearch

• Lead Engineering group consisting of multiple IC squads and QA team, defining architectural direction and technology roadmap
• Work with Product and Operations teams in order to provide technical perspective on development of customer capabilities
• Built strong teams through selective recruitment and post-hire mentorship of engineers.
• Led proposal development efforts, presenting engineering opportunities to senior leadership for go/no-go decisions.
• Set budgets for engineering tasks, tailoring financial limitations to business goals and optimizing return on investment (ROI) for completed deliverables.
• Proposed and oversaw automation across all areas and ensured practices and processes were in place, understood, documented and applied

Technologies used: Python/Django, React, AWS Serverless, PostgreSQL, APIs, pandas/pySpark, graphQL, elasticSearch

• One of the leads of the Engineering and QA team, supporting the maintenance of existing products and development of new features for our core SaaS Products
• Integrate with external partners via RESTful APIs, webhooks, GraphQL etc.
• Promoting the development and deployment of clean, maintainable code via regular code reviews, TDD development approach, implementation of CI/CD pipelines, full monitoring and observability stack.
• Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
• Oversaw development and implementation of company-wide change controls, policies and standard operating procedures (SOPs).
• Collaborated on hiring, retention and promotion of junior engineers.

Technologies Used: Python, Django, PySpark, GraphQL, Apollo, Relay, RESTful APIs, CloudFormation, AWS (Serverless, Step Functions), PostgreSQL, MongoDB

• Gain a multitude of new skills across a range of new technologies, both from being exposed to them as part of our development stack as well as during the company- approved “self-growth” time
• Solidifying skills as a Python developer
• Contributed to a number of client-side features in React using RESTful APIs and GraphQL with Apollo and Graphene
• Exposure to the AWS stack, thanks to projects using Lambda, CloudFormation, ECS and many other Amazon products
• Also became part of the R&D team, looking into the data we have and ways of using it to create dashboards and small “plug- and-play” features which provide useful insight for our customers, by examining usual behaviours and using ML models to look at anomaly detection
• Delved deeper into data analysis, as well as a chance to jump on and use a few new libraries for data mapping and visualisation: kepler.gl , deck.gl, react-vis, PySpark, DataBricks etc.

Technologies used: Python, Django, AsyncIO, celery, Github,

• Developed machine control modules using my Python/Django skills, as well as building testing instructions, comprehensive training resources including but not limited to documentation, presentations for both technical and non-technical staff and clients, demonstration videos etc
• Worked with a vast and varied amount of libraries for network sockets, multiprocessing, asynchronous tasks, client-side scripting and programming, administering Unix-based systems, developing, testing and maintaining software components etc
• Led discussions with production machine manufacturers in order to discuss the best way to interface with their machines
• Led training of product’s abilities via presentations and live demonstrations, then work together to integrate their catalogue into our software modules.
• Designed bespoke solutions for proposals to potential customers.
• Collaborated with project managers to select ambitious, but realistic delivery milestones on pre-release software project development.

Technologies used: Python, Django, PostgreSQL, AWS, Gitlab, PostgreSQL, MongoDB, Apache Lucene, RESTful APIs, AngularJS

• Internally advanced to Senior position due to continued support and dedication for our in-house projects and my vision for the technical advancement of projects and staff, in line with the business needs and future growth
• Standardized processes within our department as well as our interaction with other departments and/or clients
• Implemented procedures such as scheduled releases, CI, TDD
• Implement new processes such as new ticketing/error reporting systems, time tracking software, night shift and FlexiTime rotas, based on staff availability and client requirements
• Writing technical specification, liaising with Project Managers, providing client training on the services/products offered, such as CMS websites, online entry systems, reporting and data analysis tools etc.
• Coached interns and new employees to boost departmental efficiency, as well as being involved in ongoing recruitment

Technologies used: Python, Django, PostgreSQL, AWS, Gitlab, PostgreSQL, MongoDB, Apache Lucene, RESTful APIs, AngularJS

• Since day 1, I was involved in a number of exciting projects with The Realbuzz Group, which saw me working as part of an extended team of developers, designers, editorial staff and more
• I have gained and improved my skills in many technologies during my time as a programmer here
• I was part of teams which have done work for our clients providing customised online entry systems and CMS websites, worked with charities in order to provide a reliable communications bridge between them and end-users wanting to take part in various types of events, thus helping those charities raise more money for their cause
• I was also part of the in-house projects, some of my work being involved with automated language processing, recommendation systems and extensive data migration
• Some of the in-house projects I was involved in include realbuzz.com, thereandback.com, my50.com.