Summary
Led full-stack development initiatives, delivering high-impact solutions for client SaaS products and building a B2B consulting marketplace from inception to launch.
Highlights
Spearheaded integration of OpenAI GPT-4 and LangChain APIs into client SaaS products, enhancing customer support, streamlining onboarding, and enabling advanced AI-driven analytics.
Architected and launched a B2B consulting marketplace platform from scratch within 4 months, directly contributing to securing $500K in seed funding.
Engineered and deployed GraphQL APIs (Ariadne) to facilitate robust multi-tenant integrations with Stripe and Zoho, improving data interoperability.
Developed a WCAG 2.1 AA compliant React/Next.js dashboard with real-time Socket.IO updates for transaction and fraud alerts, significantly boosting user trust and reducing support inquiries.
Constructed Celery and RabbitMQ-driven reconciliation pipelines for daily payment batch processing, leading to a substantial reduction in manual error rates.
Implemented Docker containerization and deployed services to AWS ECS using Terraform IaC, establishing zero-downtime CI/CD pipelines with GitHub Actions for seamless deployments.
Integrated DataDog and New Relic APM for comprehensive end-to-end monitoring and engineered PagerDuty alerting strategies, ensuring SLA compliance with under 5-minute response times.
Collaborated cross-functionally with business analysts and compliance teams to interpret PCI DSS requirements, influencing the design of robust RBAC and audit logging standards.
Navigated rapidly evolving startup requirements, excelling in diverse roles (development, DevOps, QA) to deliver new features in weekly sprints and demonstrate exceptional organizational agility.
Developed comprehensive PyTest and Factory Boy test suites and maintained OpenAPI documentation via Redoc, improving API usability for consumers.
Mentored and coached junior developers on T3 stack, Python/Django, and integration best practices, fostering team growth and technical proficiency.
Empowered product teams to accelerate feature delivery by leveraging LLM-based ideation tools (GitHub Copilot, Tabnine) and AI-assisted code reviews.