Slava – Python, FastAPI, Typescript

Application for the financial sector with support for hierarchy of users at the level of parent funds, funds, companies, participants. The main purpose of the application is to automatically calculate investments, sizes, returns, etc. based on the information provided.

• Led full infrastructure migration from EC2 to ECS (backend + frontend), introducing GitHub Actions–driven Docker builds, ECS deployment workflows, and tightened CI quality gates (Ruff, ESLint), improving reliability and automation of the release pipeline.
• Built end-to-end portfolio and fund-admin product features including expandable portfolio overviews, PE valuation flows, contribution history, target-return scenario pages, and waterfall analysis improvements (holder filters, scoped select-all) across Nuxt frontend and Django APIs.
• Implemented end-to-end temporal workflows, including temporal unit and reserve pool processes with validation, debounced updates, centralized API headers, and UI enhancements for cap tables, vesting, and exit scenarios.
• Designed and shipped document management upgrades including PDF preview, bulk move/delete, read-only unit-document navigation with virtual folder structure, and portfolio access editing. Backed by access-controlled backend endpoints and flat-list APIs.
• Rebuilt the PDF parser microservice using SQLAlchemy models and repositories, structured ParserService pipelines, and a draft job lifecycle with S3/SQS abstractions. Enhanced error handling, logging, and job notifications.
• Improved backend performance and test coverage by eliminating N+1 queries in portfolio flows, expanding automated tests across portfolio, waterfall, draft, and notification areas, and merging security dependency updates.

Payment processing platform, designed with an approach reminiscent of industry giants like Stripe. It not only handles transactions but also allows merchants to manage batched payments and maintain product listings, streamlining operations for enhanced efficiency.

• Designed and implemented a monorepo-based API architecture, including batch and transaction endpoints for grouped payment processing.
• Integrated Azure Active Directory for authentication, enabling secure identity management and seamless SSO across APIs and frontend applications.
• Dockerized the full application stack and configured Docker Compose for both local development and remote deployment environments, ensuring consistent runtime parity.
• Set up Strapi as a headless CMS to power the products API and render product data on the frontend, decoupling content management from core payment logic.
• Built a prototype for PII detection and redaction using Microsoft Azure Cognitive Services to identify sensitive user data.
• Designed and validated data handling workflows aligned with GDPR requirements, ensuring safe processing of user data before production rollout.

Multichannel AI network with services for compute providers, AI model users, and enterprise clients. The platform provides access to robust models for users or connects to the network for providers to start earning ERC-20 tokens.

• Implemented a responsive and interactive customer portal from the ground up using Next.js and following Figma designs
• Implemented an admin API from scratch for the internal team using Python and FastAPI
• Implemented WebSocket exchange for AI inference, status handling, and uploading task results into S3
• Created a messaging queue with Kafka to handle different background processing tasks in the application
• Integrated AWS Cloudwatch for system uptime & requests analytics

Global co-living and lifestyle platform that provides furnished apartments and shared living spaces for digital nomads and young professionals. The company focuses on creating a sense of community by offering on-site amenities and various social events for its members. Vonder’s business model is based on providing an “all-in-one” living solution that includes all bills and services, aiming to offer a hassle-free rental experience.

• Implemented new API endpoints with Python and Django to support application features
• Built the email notification service and connected it to the business logic
• Continuously fixed bugs and worked on feedback from the users and the team.