Daniil Archipov

AI agents that work inside your compliance workflow, using enterprise data, third-party tools, and analysts' context, so your team can focus on what truly matters.

Bitorix provides software development services. The team has worked for a wide variety of companies ranging from startups to large IT firms. From top financial institutions to leading e-commerce shops. Companies include Amazon, Goldman Sachs, GSA Capital, Microsoft, HMRC and Paxful. Find us at: https://bitorix.com

Paxful is the largest P2P crypto marketplace in the US. After its 2023 crisis and shutdown, I led the company’s technical reboot—rebuilding the entire IT organization and managing key divisions including DevOps, Backend, Frontend, Mobile, and Cybersecurity. I ensured the security of all custodied funds, rolled out new products, and introduced AI-powered tools to support firms' regulatory compliance. By organizing hiring pipelines, conducting technical interviews, and streamlining budgets, I scaled the tech team effectively and helped drive Paxful’s successful comeback. More info: https://www.bloomberg.com/news/articles/2023-04-05/crypto-africa-focused-bitcoin-marketplace-paxful-suspends-operations?embedded-checkout=true

Range of different gigs within public and London fintech sector

- Migrated high traffic stock loan service from Oracle WebLogic (EJB) to Spring stack. - Analyzed existing complex legacy architecture and redesigned it as a brand new microservice approach. - Achieved atomic and consistent transaction execution - Migrated service clients to a new architecture - Covered services with e2e integration tests

- Designed customer-facing RESTful service responsible for serving product offers for Amazon. - Developed a highly concurrent, low latency, high throughput service with a requirement to handle 200k transactions per second. - Configured L1 and L2 caches with various eviction strategies to reduce response latency and load on downstream services. - Comprehensively covered the service with performance metrics for issue detection. - Achieved a 99.87% service availability rate. - Regularly performed load tests to estimate the optimal amount of hardware resources during exceptional days (e.g. Black Friday, Prime day). - Routinely conducted A/B experiments to identify the most profitable offers to display. - Lead client traffic migration processes from old services to the new ones. - Configured a scaling planner based on emitted metrics and traffic patterns to make it scale the VM fleet to match the demand. - Participated in on-call duties, which involved 24/7 on-call support for a production- critical customer-facing service.

- Developed from scratch a highly scalable cloud service with requirement to processes terabytes of data in parallel, in a limited amount of time. - Using Google cloud infrastructure built a platform for analysing iOS and Google Play markets. - Delivered a project in time, which in turn allowed for the product to be demonstrated to investors and secure an investment exceeding £700k. Technologies used: Java, Python, SQL, Docker, Kubernetes, AppEngine, GoogleCloud

- Lead a 3-man team developing a low-latency, concurrent RESTful personalisation service with a requirement of handling and capable scale to thousands of request per second. - Configured a high-throughput, distributed Kafka messaging system to capture customer actions in real-time (e.g. product clicks, search, page views). - Was responsible for delivering a search engine redesign and optimisation - developed a highly scalable RESTful search API that processed more than 200 product search responses per second across all company websites. - Designed and implemented a product recommendation service which based on customer purchase and page navigation history. Technologies used: Java, Python, ElasticSearch, Docker, Kafka, AWS, SQL, Redis

- Worked in MS Office group (OIPG) as a SDE in agile distributed (US, Ireland, India) environment. Developed and supported internal applications to maintain and build Office.com Technologies used: C#, SQL, WPF, WF, WCF