Viktor Boiarchuk

Leading the backend platform team to support building conversational agents and generative AI solutions for the Health Care Providers of the Life Sciences industry.

Main responsibilities:

• Provide engineering leadership in the team through tech expertise, empowering engineering standards and best practices, engineers mentorship, and code reviews
• Systems design and re-architecture as well as improving services scalability and performance. Work closely with Principal Solution Architect and CTO to define the systems requirements and limitations.
• Led the redesign of the system architecture, resulting in a significant improvement in overall system reliability from 91.2% to 99.9%, and a substantial reduction in downtime and errors.
• Designed and optimized Data Analytics and ETL pipelines using AWS Lambda, ECS, Kinesis, Data Firehose, S3 Data Lakes, and Databricks, reducing data processing time by 35%.
• Built scalable back-end APIs and integrated with 3rd party platforms, handling 500 requests per second with a 99.99% uptime.
• Set up and improved CI/CD and ML Ops pipelines, release processes, and systems monitoring/observability, reducing deployment time by 75% and improving overall system reliability.

Tech stack: Python, FastAPI, Flask, Postgres, MongoDB, AWS, GCP, AI/ML, LLM, Vector Stores, GraphQL, REST, distributed systems, microservices, serverless, Terraform, Kubernetes, Docker

Building the sales commissions data analytics solution by developing and maintaining ETL pipelines, internal and external APIs, and user interfaces for internal teams.

Main responsibilities: System design, splitting the monolithic system to microservices, API development, improving CI/CD pipelines and engineering processes, working on scaling and performance aspects of the system, SQL DB schema restructuring and optimizations, engineers mentoring and code reviews.

Tech stack: Python, Django, Flask, PostgreSQL, Redis, Docker, Terraform, GitHub Actions CI/CD, Bash, Linux, React

Played a key role in the Core team as a Founding engineer, contributing to the development of a cutting-edge IoT/CV/ML device management framework from scratch, which successfully solved critical business needs and drove significant growth.

Key Achievements:

• Collaborated closely with the CTO and CEO to define and refine system requirements and architecture, ensuring seamless integration and scalability.
• Designed and developed the system architecture, enabling real-time data collection, processing, and visualization from hundreds of devices, as well as the development of ETL data pipelines, APIs, and dashboard web applications to provide actionable insights and drive business decisions.
• Successfully launched the system in a matter of months, scaling to hundreds of devices that produced terabytes of data daily, and established a robust data analytics and AI/ML-powered solution.
• As the system grew, I successfully led the backend part of the team, mentoring new engineers and helping to build a high-performing team that drove continued innovation and growth.

Tech stack: Python, Flask, Django, DRF, REST API, Redis, Postgres, NoSQL, Firebase, IoT/MQTT, ML/AI, Docker, Bash, Linux, Javascript, React/Redux, SOA, serverless and microservices architecture, GCP services and infrastructure.

Worked as a part of the development team of American startup on the designing, development, and deployment of the multi-cloud resources and billing management solution for Cloud services (AWS, Azure, Google Cloud, Alibaba providers) based on the ETL pipelines and back end microservices architecture deployed with AWS infrastructure and services, primarily with Python, Flask, Node.js, AWS (Redshift, Aurora MySQL, ECS, Lambda, Fargate, SQS, CloudFormation).

Worked on the development, testing and reviewing of ERP modules as a part of the total business solution to automate the workflow and processes for various organizational functions such as Accounting, CRM, Logistics, Sales, Manufacturing, Projects, mainly with Python, PostgreSQL, OpenERP/Odoo ORM framework, Bash, Linux.

ERP systems development and maintenance. The responsibilities were mainly focused on Python Odoo modules customizations.

Tech stack: Python 2 and 3, PostgreSQL, Odoo ORM framework and migrations