Viktor Taranenko Email & Phone Number

Empowering my team to reach new heights through the synergy of organization, culture, and cutting-edge technology.

Having prior skills in building NLP models with Deep Learning and running them in production, I decided to navigate into the area of Computer Vision and Autonomous Vehicles.Spent time learning foundations of Computer Vision and Perception.Read novel papers about SoTA models and tried them on open datasets in the following domains- Sensor Fusion- Semantic and Instance Segmentation- Object Detection- Transformer Architectures

Birmingham, West Midlands, Gb

Air HR is a modular hub-and-spoke HR software platform designed for small & medium businesses. We founded Air in 2016 as a small team of 6 and the business has been profitable since 2017 with over 3,000 users in the UK (and some internationally).Air was acquired by US Group KarbonPay in July 2022.

Mountain View, Ca, Us

Mountain View, Ca, Us

Scaling the Whisk product within Samsung NEXT (the software and innovation division).----Responsibilities:- Developing company technological roadmap to achieve B2C and B2B products goals- General system architecture design- driving innovation services in area of Machine Learning and Data Engineering- Architecture of Data Warehouse. Design of Data Products- Growing cross-functional teams (Tribes&Squads). Organising collaboration between them- Direct leadership of Whisk Platform Tribe

Birmingham, West Midlands, Gb

building the world’s smartest food platform to help people make better food decisions. Whisk technology enables businesses to build integrated, smarter, and more meaningful digital food experiences using cutting-edge technology and a deep understanding of food.----Overall achievement is bringing the company to a stage where it has been acquired by Samsung NEXT.* scaled team from 5 to 30 people. The team is very lean, kept operational expenses low. The growth was achieved with own Whisk revenue* Developed and executed company roadmap, allowing for huge competitive advantage in the market and scale* Layed the foundation of Machine Learning services. That brought a lot of automation, which was especially critical while running a very small team in large scale. Later and more advanced ML-based solutions made a big contribution to company strategy and offered range of services.* Kept contributing to overall system architecture aiming for the combination of high performance, ease of maintenance and low running costs.Major technological changes made to:- Code infrastructure with Monorepo and efficient build pipelines- microservices orchestration with Kubernetes- Monitoring and tracing (Prometheus + Grafana, Jaeger)- analytics workload. Migration from BigQuery to Clickhouse- Improving database performance with Cassandra and MongoDB- Building batch and real-time ML services

Birmingham, West Midlands, Gb

Technical lead on core services, data processing, infrastructure, and APIs.* Designing and building data processing pipelines with real-time streaming solutions (Storm/Mesos/Kafka; Google Cloud Dataflow)* Design and implementation of real-time collaboration data-structures and APIs, using Concurrent Replicated Data Types (CRDT).* Designing storage layer on combination of NoSQL technologies for high-velocity denormalised data, optimised for low latency* System architecture as a set of distributed Thrift components developed in Scala, continuously deployed as Docker containers.* Establishing and optimising build processes, managing a complex graph of fine-grained components with Pants build system.* Automated infrastructure management with Salt and Puppet. Production systems managed on public cloud infrastructure* Technical evaluations for new components and services, advising CTO on appropriate technical solutions for architectural needs* Worked within an agile team, managing feature development. Providing analysis and reporting to support business.

Томск, Томская, Ru

Worked to automate university processes with requirements for high-performance. Designed and implemented distributed services architectures using the Twitter Scala stack, on standard University infrastructure. This foundation underpins later projects at the company.

Developing online casino games backend in Java. Worked on game logic and algorithms for a pipeline of new games. Co-designed and implemented mathematical models for games with application of probability theory.