V

Vladimir Rokotianskii

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Buenos Aires, Argentina
Contact Vladimir regarding: 
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Full-time jobs
Starting at USD4.5k/month
Flexible work
Starting at USD30/hour
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Timeline

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Résumé

Jobs verified_user 0% verified
  • TrueML
    Senior Software Engineer
    TrueML
    Nov 2023 - Current (2 years 7 months)
    Designing and operating large-scale, cloud-native backend systems for real-time financial decision-making and event-driven processing. Own and evolve TrueML's proprietary high-throughput event-driven decision engine, powering automated workflows and real-time decisioning systems processing millions of events per day Design and maintain event-driven microservices architecture using AWS Lambda, SQS, and SNS for high-throughput distributed systems Integrate machine learning models into production systems and real-time decision pipelines Developed a prototype agent-based system leveraging LLMs, utilizing a Cline agent and internal data sources to improve decision accuracy and validate context-aware execution Develop low-latency backend service
  • B
    Engineering Manager (Hands-on)
    BlackSwan Technologies
    Aug 2020 - Nov 2023 (3 years 4 months)
    Led development of data ingestion and processing platform for a cloud-based SaaS solution in the banking sector. Architected and implemented data ingestion pipelines and ETL processes handling large-scale transactional data Designed backend services focused on data processing, validation, and transformation workflows on large-scale transactional datasets (TB-scale) Optimized database schemas and data access patterns for high-volume transactional data Built event-driven data pipelines using Kafka and messaging services (SQS, Azure Service Bus, GCP Pub Sub) Led and mentored a team of 7 engineers while remaining hands-on in system design and backend development Standardized engineering practices and improved reliability and maintainability of
  • C
    Senior Software Engineer
    Crowdbotics Inc.
    Feb 2018 - Aug 2020 (2 years 7 months)
    Led the end-to-end re-architecture of a stock investment platform's backend using Django and cloud-native infrastructure. Designed and implemented microservices-based backend architecture on AWS Built scalable APIs and backend services supporting real-time trading operations Deployed containerized services using Heroku and Docker for improved scalability and reliability Led full migration of backend systems from Heroku to AWS. Integrated external APIs (payments, trading) and implemented data-driven features using ML models Delivered MVP and production releases with high system reliability and horizontal scalability Technology: Python, Django, AWS (EC2, ECS, RDS, AuroraDB), Heroku, Docker, Kubernetes, WTD API, Stripe, Keras, TensorFlow
Education verified_user 0% verified
  • S
    Masters of Information Technologies
    Saint-Petersburg State Polytechnic University
    Sep 2008 - Jun 2013 (4 years 10 months)