Sergey Ivliev

Responsibilities: * Microservices development * Bringing ML models to production * Leading ML/DS team Achievements: * MLOps process. Release time between DS model and production decreases to several days from several weeks. * Develop Neural Network models in production to increase GPU utilisation and decrease RT and RPS (target values: RT < 2s, RPS ~ 4.5k). Stack: Go, Postgres, Kafka, Gitlab CI/CD, Docker, Kubernetes, PyTorch, sklearn, pandas, NumPy, Triton Inference Server, Spark, Hadoop, Airflow.

Courses: Theory of Computation, Decision Theory, Foundations of Artificial Intelligence ICPC student group founder and curator, since 2019 Science student group curator, since 2020

Responsibilities: * Development content moderation system * Adopting DS models to production Achievements: * Prohibited goods detector. Microservice in Go which implements the ML model and model retraining process. As a result, the decision support system helps handwork and reduces human errors. All of this decreases the penalty for the whole company at times. Stack: Go, Postgres, Kafka, Gitlab CI/CD, Docker, Kubernetes

Responsibilities: Development microservices to support the operating of flat rent startup Crawling data from different sources User request collection, and processing Achievements: System for collection data from rent sites which protected anti-crawler methods. Three sources with > 100k advertisements in a day with real-time updates. Custom warehouse system with barcode printing and API for integration with other parts Stack: Python, PHP7, Go, Postgres, MySql, Docker, Gitlab, Kubernetes

Responsibilities: Buiding architecture and implementation of software for intelligent locks. Working with test coverage, ORM, Time-Series DB, In-Memory DB, monitoring setup Maintaining assembly process of final devices Achievements: IoT project from scratch to MVP with 200 testing devices. Develop cross-platform mobile applications (first experience) Stack: Pure C, Docker, Python, Flask, MySql, FreeRTOS, ESP32, Bluetooth, NRF52, Dart, Flutter, Android, iOS.

Responsibilities: IoT devices and firmware development for the system of immersion cooling of ASIC miners Development mobile application for control smart wear Stack: Pure C, Docker, Python, Flask, ESP32

Responsibilities: Development of failure collection and analysis systems Stack: Access, SQL, VBA, Python

Responsibilities: Development of flight recorder analysis systems to predict equipment failures Development and analysing computer vision systems for tracking objects Rewriting Matlab and R code to C++ Stack: Matlab, C/C++, R