Summary
Senior Python Developer | Cloud & AI Solutions Results-driven Senior Developer with 5+ years of experience architecting high-performance web applications and distributed systems in the FinTech, Travel, iGaming, and Legal Tech sectors. Expert in Python (FastAPI, Django) and AWS Serverless Architecture, with a proven track record of designing robust CI/CD frameworks that accelerate deployment velocity. Experienced in leading engineering teams to deliver revenue-generating products, such as high-volume consignment portals and AI-driven customer engagement tools. Holds a Master of Science in Information Technology.
Experience
Senior Python Developer
InteleTravel.com
Serverless Architecture & Development: Architected and engineered event-driven serverless workflows and distributed systems using Python, AWS Lambda, SQS, S3, and DynamoDB, ensuring high availability and fault tolerance.
Technical Strategy & API Design: Drove key architectural decisions and standardized API design patterns, partnering with product teams to translate business requirements into scalable technical solutions.
Engineering Excellence: Enforced high code quality standards through rigorous code reviews and spearheaded the adoption of best practices in testing and documentation.
Key Achievements
High-Scale Product Launch: Built the core FastAPI backend for the AI-integrated Itinerary Builder, currently serving over 100,000 daily travel agents, which directly increased operational efficiency.
DevOps Transformation: Designed a robust CI/CD framework (AWS EC2, ECR, Docker) that automated deployment pipelines, significantly reducing release times and manual errors.
AI Innovation: Developed and deployed an AI chatbot prototype using the OpenAI API, creating a new channel for automated booking services.
Senior Python Developer
Thermo Fisher Scientific
Microservices Architecture: Architected and maintained a distributed ecosystem of FastAPI microservices, prioritizing loosely coupled design, inter-service efficiency, and system scalability.
API Strategy & Governance: Established RESTful API standards, enforcing strict security protocols, versioning strategies, and comprehensive documentation (OpenAPI/Swagger) to ensure seamless integration.
Technical Leadership: Mentored junior engineers and elevated code quality through rigorous peer reviews, establishing a culture of automated testing and clean coding standards.
System Reliability: Owned the resolution of complex production issues, utilizing advanced debugging and observability techniques to maintain high system uptime.
Key Achievements
Cost Reduction: Engineered a specialized Python microservice for Thermo Fisher Scientific, optimizing the product catalog translation process to reduce operational costs by 4-5x.
Developer Efficiency: Overhauled the development ecosystem by implementing modern tooling and CI/CD practices, significantly reducing technical debt and accelerating feature delivery.
Team Lead
Lew & Dowski Capital, LLC
Technical Leadership: Led and mentored a squad of 4 engineers, driving technical excellence, professional development, and high-velocity delivery.
Delivery Management: Directed the full lifecycle of scalable distributed services, overseeing design reviews, testing strategies, and production deployment.
Architectural Alignment: Facilitated cross-team technical collaboration to ensure cohesive architecture and prevent siloed solutions.
Product Strategy: Partnered with Product Management to translate high-level business requirements into executable technical roadmaps and prioritized backlogs.
Team Building: Managed recruitment efforts and conducted technical interviews, while continuously refining engineering processes to improve team agility.
Key Achievements
Greenfield Product Launch: Architected and launched a full-featured Season Ticket Consignment Portal from scratch, successfully establishing a new revenue stream and expanding user capabilities.
Engineering Culture: Instituted rigorous code review protocols and standardization processes, resulting in a measurable increase in code quality and reduction in technical debt.
DevOps Maturity: Engineered comprehensive CI/CD pipelines to automate testing and release workflows, significantly boosting release velocity and system reliability.
Python Developer
Lew & Dowski Capital, LLC
Backend Engineering: Engineered high-performance web applications and RESTful APIs using Django, DRF, and FastAPI backed by PostgreSQL, ensuring data integrity and query optimization.
DevOps Integration: Streamlined the development lifecycle by implementing and maintaining CI/CD pipelines, reducing manual deployment efforts.
Knowledge Sharing: Authored comprehensive technical documentation to standardize onboarding and development best practices across the team.
Code Stewardship: Maintained code quality through active participation in code reviews and technical mentorship of junior developers.
Key Achievements
Internal Tooling: Architected and built the robust backend for a mission-critical Internal CRM platform, centralizing business data and improving operational workflows.
Delivery Excellence: Successfully launched multiple high-traffic web applications, ensuring high availability and low latency.
Team Growth: Formalized the onboarding process by establishing a structured mentorship program for new hires, accelerating their time-to-productivity.
Python Developer
Pinnacle
Internal Tools Development: Engineered Python-based automation tools to replace manual workflows in data processing, reporting, and customer support.
Requirements Gathering: Leveraged deep domain knowledge of Customer Service operations to identify automation bottlenecks and design technical solutions.
Cross-Functional Collaboration: Partnered with Operations teams to translate manual business processes into efficient, automated Python workflows.
Continuous Improvement: Proactively identified and patched inefficiencies in legacy processes, continuously expanding the internal automation library.
Key Achievements
20% Workload Reduction: Developed and deployed a suite of 15+ Python scripts, reducing manual data entry time by 20% for the Customer Service department.
Performance Optimization: Accelerated critical report turnaround time by 15% by automating complex data aggregation tasks.
Ticket Resolution: Decreased average customer ticket handling time by 5% by building auto-resolution scripts for common inquiries.
Skills
Languages
Education
University of the People
Master of Science - MS • Information Technology
4.0 (out of 4.0) GPA
WebsiteSaint Petersburg State University
Bachelor of Arts • History
4.25 GPA (out of 5)