
I’m a senior software engineer with a strong foundation in mathematics and over 10 years of experience building production systems. I specialize in Python (Django, FastAPI, Flask) and have solid experience with Rust, TypeScript, and Next.js, delivering scalable full-stack applications used by thousands of users.
Since 2017, I’ve worked with startups across fashion, fintech, delivery, construction, real estate, and healthcare. I focus on designing clean architectures, shipping quickly, and scaling systems under real business constraints.
I have hands-on experience building agentic systems and integrating foundation models such as ChatGPT, Claude, and Gemini into production workflows. I regularly design AI-powered pipelines, structured prompt systems, and multi-step agent flows. I also work extensively with AI-assisted development tools, including Cursor, GitHub Copilot, and Codex, using agentic coding workflows to accelerate high-quality software delivery.




Built a flexible recommendation system with rule-based, statistical, and foundation-model strategies,
enabling rapid A/B testing...
Built a flexible recommendation system with rule-based, statistical, and foundation-model strategies,
enabling rapid A/B testing and iteration.
– Integrated Shopify Plus for 500+ medspas handling $1–$2M in weekly GMV, scaling platform operations
for high-volume clinics.
– Strengthened compliance by implementing a one-PC-per-medspa model in California for direct MD pay-
ments and building Stripe reporting for multi-state regulatory requirements.
– Led a team of 6 engineers as technical lead for FastAPI backend and Vue.js frontend, owning architecture, code quality, and mentorin...
– Led a team of 6 engineers as technical lead for FastAPI backend and Vue.js frontend, owning architecture, code quality, and mentoring.
– Architected multi-tenant SaaS platform with FastAPI and PostgreSQL using schema-level isolation, re-
ducing infrastructure costs by 40% ($150K–$250K annually) and enabling rapid client onboarding.
– Built and enforced a CI/CD pipeline with 80% minimum test coverage, automated linting, and formatting checks, significantly improving code quality and reducing production issues.
– Deployed climate risk models with FastAPI and pandas to quantify financial impact of climate scenarios on commercial buildings for insurance and risk management decisions.
- Owned and scaled the backend as sole engineer, supporting 30 stores, 3,000+ daily users and 1,000 orders.
– Built Admin Portal...
- Owned and scaled the backend as sole engineer, supporting 30 stores, 3,000+ daily users and 1,000 orders.
– Built Admin Portal with Flask on AWS Lambda to empower non-technical users to manage stores, process refunds, and adjust parameters for streamlined daily operations.
– Integrated key APIs including Stripe for seamless payment and refund handling, Leanplum for marketing campaigns (replacing OneSignal), and Slack for automated daily order reports.
– Architected a serverless staging environment with AWS CDK and automated deployments via GitHub Actions, reducing infrastructure costs by paying only for execution and enabling fast, reliable releases.