Dmitry Kruglov - CTO & Co-Founder, syzygy ai

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Work Background

Syzygy AIChief Technology Officer

Jan. 2022Berlin, GermanyLead team of 10 engineers and designers - hiring, mentoring, manage part-time freelancers Define and help to execute tech strategy to meet business needs - budgeting, risks and priorities, tech stack Currently working on platform to connect home owners with cleaners: https://cleanbee.syzygy-ai.com/ Create app to control facial expressions: - Set quality standards for all components of solutions: frontend\backend\mobile clients. (c++\cross-compilation\python\kotlin\swift\javascript\tensorflow\Docker, github actions for CI\CD) - Curate RnD activities (AutoML - AWS Sagemaker, Mechanical Turk, DVC)

HelloFreshSenior Data Engineer

Jun. 2019 - Jan. 2022Berlin, GermanyHelp company to implement data-driven strategy to migrate from data warehouse to data mesh architecture - Migrate number of data pipelines from Cloudera private hosting environment into AWS cloud to support exponential demand for growth during Covid (Terraform, Kubernetes, AWS tech stack: EMR, ECR, IAM) - Create data pipeline for analysis of data for A\B testing using Optimizely and Google analytics events as a source (Spark, Airflow at K8s) - Develop framework for data quality assurance for the whole data warehouse - Implement new and extend existent ETLs according to stakeholder’s needs - Participate in on-call rotation to support SLA for business critical datasets - Performance tuning of stream and batch data pipelines - Spark, python, scala, Impala, Hive, Airflow, Parquet, HDFS, AWS infrastructure - S3, RDS, EC2, Lambda, DMS

PrivateAutotradingTech Lead

Jul. 2018 - Feb. 2019Create automated crypto currency-trading system: ● Design reactive architecture to simplify integration of additional exchanges ● Develop scalable trading platform for multi-agent deployments ● Lead implementation of unified UI for trading rules management, deployment automation and monitoring, trend exploration ● Create dedicated services for live data acquisition, signalling and data discovery ● high throughput low-latency fully automated trading engine ● inference engine for models backtesting Used technologies & tools: microservices, application containerisation, Python, gevent, SOA, redis based event queues, aws, stream processing, websockets, postgres, flask, telegram bot api

security domainSenior Software Architect

Nov. 2015 - Jun. 2018Abu DhabiSenior Architect: * Design, build and optimise high throughput highly available multi component data processing pipelines (up to 1.5 mln events per seconds, depending on cluster configuration). * Re-factor of business critical components of various products across the whole stack * Cassandra, Kafka, Elastic performance tuning - schema adjustments & implementation of high performance multithreaded shooters in C++, jvm & linux kernel optimisation * Containerisation of applications: maintaining internal docker registry, automate orchestration of dockers vms, docker performance tuning * Introduce company for modern SDLC practices and help to integrate it in a way to be coherent with business goals: continuous integration, devops, integration tests & auto-tests * Participate in business critical activities: sizing and hardware planning, develop POC for pre-sales events, requirements assessments, investigation of disaster incidents, etc * Develop and run internship program: software development, data analysis. Head of analytics department: * Add several key functionalities for company's products portfolio. * Create a discovery platform with set of analytical sub-modules on top of Apache Spark. * Build a toolbox for algorithms assessments for data discovery and quick hypothesis checks * Assessment and adaptation of methods of AI\ML for such tasks as predictions\clusterization. * Application of methods Natural Language Processing (NLP) according to business goals. Used technologies\tools: Big data & high load. Data engineering. Data mining. Distributed computing. Statistics. NLP. Machine learning. Reverse engineering. Caffe. Zeppelin. Spark. Elastic. Kafka. Protobuf. C++. Boost. Scala. Python. Java. Blockchain. Agile. AWS. Scikit. Redis. Golang. Microservices.

insydoSenior Software Engineer

Jan. 2015 - Oct. 2015United Arab EmiratesDevelop general architecture of server components, choose technology stack for implementation, design database structure and implement middleware layer for interaction with 3rd party systems Build web-crawler for machine learning algorithms evaluation Perform evaluation of various machine learning techniques, embed most promising approach to general pipeline Adapt core of recommendation engine for high-load project by profile and optimize bottlenecks Define and manage Mesos cluster deployment strategy Control and manage of integration various clients (mobile/web) to backend services Define and control execution of sprints for freelancers Provide technical leadership and coaching for team Used technologies/tools: python, postgres, elasticsearch, redis, scikit, scrapy, nltk, gensim, selenium, Mesos cluster stack, AWS stack, vagrant, docker, devops, git, jira, SOA, RESTful