Damir is available for hire
Hire DamirDamir Maksyutov
Verified Expert in Engineering
Back-end Developer
Location
New York, NY, United States
Toptal Member Since
July 27, 2022
Damir has 8+ years of software development experience at big US tech companies such as Microsoft, Bloomberg, and Meta. Throughout his career, Damir has acquired skills ranging from mobile UI development and low-level performance optimizations to designing, implementing, and debugging complex distributed systems used daily by a few hundred million users and incident response and management under high pressure. Damir's primary interest lies in high-performance computing and distributed systems.
Portfolio
Facebook
C++, PHP, Python, Mercurial, Linux, MySQL, Cassandra, Apache Thrift, GraphQL...
Bloomberg
C++, Python, Linux, Unix, GitHub, Git, Redis, MySQL, Solaris, REST APIs...
Microsoft
Git, MacOS, Unix, iOS, C, Objective-C, C++, Xcode, Azure, Python, Bash, Shell...
Experience
Availability
Part-time
Preferred Environment
MacOS, Git, Linux
The most amazing...
...project I've worked on is a C++ implementation of Numenta's core cortical learning algorithms and HTM design for machine learning.
Work Experience
Software Engineer
2020 - 2022
- Designed and implemented an end-to-end testing framework for Facebook messaging infrastructure, allowing developers to seamlessly verify the safety of their changes in an isolated environment before releasing changes to production.
- Contributed to the instrumentation of Facebook messaging infrastructure by implementing per-messaging use-case monitoring throughout the infra stack and improving high-level signal alerts for calls.
- Designed and implemented a consumption-based canary system for the safe staged rollout of configuration changes.
- Joined the first responders' team for every major messaging-related problem, performed incident response and management under high pressure, advocating for reliability improvements among product and infra teams.
Technologies: C++, PHP, Python, Mercurial, Linux, MySQL, Cassandra, Apache Thrift, GraphQL, Hack, Bash, Shell, C, Java, REST APIs, TypeScript, JSON, NoSQL, APIs, SQL, Web Development, Software Architecture, Technical Leadership, Project Management, Architecture, HTML, Multithreading, Amazon Web Services (AWS), Agile Software Development, Django, PostgreSQL, Cron, Rust, GDB, Profiling, Optimization, API Architecture, Serverless, Webhooks, Automation, CI/CD Pipelines, Algorithms, Data Structures, Memory Management, C++ Memory Model
Senior Software Engineer
2018 - 2020
Bloomberg
- Designed and implemented fault-tolerant scalable microservices architecture for the Bloomberg Terminal's portfolio real-time intraday sessions handling around 380,000 daily sessions.
- Drove development of a mobile application version for Bloomberg Terminal's portfolio real-time intraday product.
- Implemented the Jenkins-based CI pipeline for continuous deployment for several portfolio-related products.
- Improved the low-level company deployment, build, and A/B test tools.
- Implemented low-level optimization in portfolio classification code, speeding up the process by 40% on average client portfolios.
Technologies: C++, Python, Linux, Unix, GitHub, Git, Redis, MySQL, Solaris, REST APIs, Embedded C, JSON, NoSQL, APIs, SQL, Web Development, Software Architecture, Technical Leadership, Project Management, Architecture, CSS, React, HTML, Multithreading, Amazon Web Services (AWS), Agile Software Development, Express.js, Windows, Cron, GDB, Profiling, Optimization, API Architecture, Serverless, Webhooks, Automation, CI/CD Pipelines, Algorithms, Data Structures, Memory Management, C++ Memory Model
Software Engineer
2013 - 2018
Microsoft
- Converted Microsoft Office for Apple, Windows, and Android codebases by refactoring low-level components to be platform-agnostic.
- Developed and maintained Microsoft Office for Apple components, including authentication stack, most recent documents and folders list, and document sharing.
- Created and maintained an internal full-stack tool—Node.js server on Azure, iOS app, local macOS daemon—to remotely start from the iOS app and control local overnight builds, validate and do automated code check-ins.
- Owned code convergence for the Microsoft Office authentication stack on Apple and helped other teams from Sway, Planner, and Visio set up their iOS and macOS apps from the shared codebase.
Technologies: Git, MacOS, Unix, iOS, C, Objective-C, C++, Xcode, Azure, Python, Bash, Shell, MySQL, SQLite, REST APIs, Embedded C, JSON, APIs, SQL, Software Architecture, Project Management, Architecture, Multithreading, Visual Studio, Microsoft Visual C++, C#, Agile Software Development, Express.js, Windows, Cron, GDB, Profiling, Optimization, Swift, API Architecture, Serverless, Webhooks, Automation, CI/CD Pipelines, Algorithms, Data Structures, Memory Management, C++ Memory Model
Experience
Low-level C++ Optimization for Portfolio Instrument Classification
Instrument classification of clients' portfolios was known to be a slow process on large portfolios. The process would regularly timeout and require clients to restart the product. Proper optimization or rewrite was long due.
Related C++ code was old and complex, and the team did not understand the implementation. Besides, no instrumentation in the code could help identify the algorithm bottlenecks.
Due to the complexity of the code and the approaching deadline, I focused on understanding the bottlenecks by investigating the actual stack traces of the running classification code rather than going through the code in detail.
After collecting enough samples and writing a helper processing program in Python, it was obvious that most of the algorithm bottlenecks were due to recalculating the same multi-dimensional arrays and graph traversals. It was clear that introducing a simple cache data structure would solve the problem.
After introducing the cache layer to the algorithm, testing, and rolling it out, it was shown to provide an average improvement of around 40% for the time spent in instrument classification and eliminate timeouts.
Related C++ code was old and complex, and the team did not understand the implementation. Besides, no instrumentation in the code could help identify the algorithm bottlenecks.
Due to the complexity of the code and the approaching deadline, I focused on understanding the bottlenecks by investigating the actual stack traces of the running classification code rather than going through the code in detail.
After collecting enough samples and writing a helper processing program in Python, it was obvious that most of the algorithm bottlenecks were due to recalculating the same multi-dimensional arrays and graph traversals. It was clear that introducing a simple cache data structure would solve the problem.
After introducing the cache layer to the algorithm, testing, and rolling it out, it was shown to provide an average improvement of around 40% for the time spent in instrument classification and eliminate timeouts.
Full-stack Management of Automated Xcode Builds, Tests, and Code Check-ins
Developing complex applications in constantly evolving codebases can be a challenging task. Scheduling an overnight build against the latest code can result in unexpected build or test failures that require manual resolution, wasting time in the morning.
To improve developer experience in our team, I created a tool to remotely via iOS app control overnight build and validation for Xcode projects and perform automated code check-ins. Upon detecting a local failure on the latest code, it notified the developer and allowed them to choose another revision to perform the build.
The states were managed by a Node.js app on an Azure server and backed by MongoDB. With the iOS application written in Swift, XCode operations were performed by a macOS daemon.
To improve developer experience in our team, I created a tool to remotely via iOS app control overnight build and validation for Xcode projects and perform automated code check-ins. Upon detecting a local failure on the latest code, it notified the developer and allowed them to choose another revision to perform the build.
The states were managed by a Node.js app on an Azure server and backed by MongoDB. With the iOS application written in Swift, XCode operations were performed by a macOS daemon.
Skills
Languages
Python, Java, JavaScript, Objective-C, C, C++, Bash, SQL, Embedded C, HTML, C#, PHP, GraphQL, Swift, TypeScript, CSS, Rust, Hack
Libraries/APIs
Node.js, REST APIs, React
Tools
Git, GDB, Visual Studio, Microsoft Visual C++, Cron, GitHub, Mercurial, Xcode, Shell
Paradigms
Agile Software Development, API Architecture, Automation
Platforms
Unix, Linux, Windows, iOS, MacOS, Amazon Web Services (AWS), Azure, Solaris
Storage
MySQL, JSON, NoSQL, SQLite, MongoDB, Cassandra, PostgreSQL, Redis
Industry Expertise
Project Management
Other
Profiling, Optimization, APIs, Web Development, Software Architecture, Architecture, Multithreading, Serverless, Webhooks, Algorithms, Data Structures, Memory Management, C++ Memory Model, Physics, Technical Leadership, CI/CD Pipelines, Semiconductors
Frameworks
Django, Express.js, Apache Thrift, Qt
Education
2008 - 2012
Bachelor's Degree in Physics and Semiconductor Physics
Novosibirsk State University - Novosibirsk, Russia
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