# Svet Tchoukalov > Director of Platform Engineering at PadSplit Location: Atlanta, Georgia, United States Profile: https://flows.cv/svet Software engineer, individual contributor, people manager, and business leader with a focus on software platform design, distributed systems, API design and integrations, automation, financial systems, and data driven feature design and business decisions. I value data integrity, practical architecture, adaptable code, scalable infrastructure, security, dev tooling, and a healthy work culture. I like to build software solutions from the ground up as well as architecting elegant large-scale software architectures for complex, high-volume business functions. Skills: I'm a full-stack software engineer, software architect, data engineer, an amateur product manager, and an amateur site reliability engineer. Domains of expertise: web services/SaaS, RESTful API design and integration, cloud infrastructure, relational databases, machine learning, financial systems, web scraping, automated testing, data science. Tech stacks: Python, Java, JavaScript, TypeScript. Django, Flask, Spring Boot. React, Mobx. PostgreSQL, MySQL, ElasticSearch, Oracle SQL. AWS, Serverless. ## Work Experience ### Director of Platform Engineering @ PadSplit Jan 2026 – Present | Atlanta, Georgia, United States I’m transitioning to a leadership role leading the newly formed Platform Team. We’re working on scalability, reliability, security, infrastructure/architecture, data engineering, payment processing and accounting, as well as supporting product teams with complex 3rd party API integrations and product-wide base functionality. ### Staff Software Engineer @ PadSplit Jan 2019 – Jan 2026 | Greater Atlanta Area Individual contributor and people manager. Full-stack web development. Mobile app web development. Lead company’s security initiatives. Perform SRE/dev ops duties. Design and implement software systems for: complex 3rd party API integrations, platform finances, automated testing, CD/CI, dev productivity, web scrapers, data science, product feature experimentation automation, distributed async workload processing, securely storing and operating on restricted data, and authentication credential management. Support data science efforts and business decision making. Have occasionally done product management for multiple projects. ### Staff Software Engineer @ BetterCloud Jan 2017 – Jan 2019 | Greater Atlanta Area Individual contributor and team lead. Designed and built API workflow automation system on distributed microservices architecture handling millions of process executions per month. ### Staff Software Developer @ athenahealth Jan 2012 – Jan 2016 Tech Lead for Enterprise Data Warehouse product: Work with stakeholders to expand data coverage by 28% and oversee ICD-10 transition. Support multi-terabyte data warehouse solutions providing Clinical, Revenue Cycle, Quality Measurement, and User Access data for downstream integration and decision support systems. Design and implement improved bulk data extraction and ETL processes. Tech Lead for Report Service Platform: Design and implement new distributed backend reporting platform with performance, stability, resource protection, and transparency guarantees executing over 13 million complex SQL queries for over 30 thousand unique users per month. Advanced Reporting and Analytics Team Member: Design and implement financial (general ledger, relative value unit, revenue life cycle) and clinical (electronic medical records) reporting wizards and tools used by over 3 thousand clients. Perform exploratory data analysis, statistical modeling, and applying machine learning algorithms to solve business problems. ### Co-Founder, Software Engineer @ Spot Source (unincorporated) Jan 2012 – Jan 2012 Develop web service backend and ScribbleIt mobile app for Android and iOS, a human intelligence augmented physical-to-digital text transcription service utilizing Amazon Mechanical Turk and AWS. ### NSF-REU Intern @ OHSU Jan 2009 – Jan 2010 Applied machine learning and data mining techniques to unsupervised morphology induction and other natural language processing problems. ## Education ### Bachelor’s Degree in Mathematical & Computational Science Stanford University Jan 2005 – Jan 2011 ## Contact & Social - LinkedIn: https://linkedin.com/in/tchoukalov --- Source: https://flows.cv/svet JSON Resume: https://flows.cv/svet/resume.json Last updated: 2026-03-22