For Hiring Managers
Software Engineer
Software engineer with 9 years of professional experience. I work across the entire stack — from database schema and API design to production UI. I've been part of teams where I owned product verticals end-to-end, and I've worked on projects that ranged from cloud deployments on AWS and GCP to bare-metal Kubernetes clusters. My primary languages are TypeScript, Python, and Go.
9 years of professional experience since 2018. Started with JavaScript and PHP, built full-stack applications with Laravel and Vue, then moved to React and the broader TypeScript ecosystem as projects demanded it. Was part of building an academic publishing platform that grew to 14,000+ publications. Helped maintain 20+ microservices with 99.9% uptime at a US-based anti-fraud startup, where I got deep into AWS infrastructure — SAM templates, CDK, and SST for automated deployments. Took initiative to migrate a code intelligence product from a legacy stack to Next.js and FastAPI. Along the way I've worked on medical AI, fintech, code intelligence, e-commerce fraud detection, academic publishing, and visual website builders.
Full-Stack Engineer · Next.js, FastAPI, PostgreSQL, Python
Greenfield medical AI platform. The system parsed medical documents, tracked conditions, symptoms, and visit histories so patients and doctors could have more productive interactions. I worked on both the frontend and backend, and spent a lot of time navigating the challenges of AI indeterminism in a domain where accuracy expectations were very high.
Full-Stack Engineer · Next.js, FastAPI, Redis, Celery, Kubernetes, Helm
Code intelligence platform for understanding and documenting repositories. The existing stack needed reworking, so I took initiative to migrate the UI and backend to Next.js and FastAPI. Also helped rebuild the AI pipeline with Celery and Redis Streams, and put together Helm charts for multi-cloud Kubernetes deployment.
Freelance Full-Stack Engineer · Next.js, Python, RabbitMQ, PostgreSQL
Finance platform using LLMs to analyze company reports and help banks make credit approval decisions. Worked on dynamic dashboards for company-level financial data with server-driven layouts, and integrated chat and report generation via RabbitMQ.
Freelance Full-Stack Engineer · Next.js, Laravel, FastAPI, Kubernetes
Visual website builder in the space of Webflow and Framer. Contributed a component library for the visual editor and worked on automated custom domain assignment through Kubernetes — SSL certificates, ingress rules, and routing. Also did early experiments with GPT-3.5 for UI generation.
Lead Backend & DevOps · Python, Node.js, AWS, GCP, MongoDB
Anti-fraud AI platform for e-commerce. I was part of the backend and DevOps side — helping manage 20+ microservices, contributing to ML data pipelines with Airflow and BigQuery, and working on serverless applications across AWS and GCP. Went through the challenges of automated deployment with SAM templates, CDK, and SST. The team maintained 99.9% uptime.
Lead Full-Stack Engineer · Vue.js/Nuxt, Laravel, Python, Node.js
Research publishing platform for Uzbekistan. I built most of the stack — frontend, backend, and integrations with Scopus, Web of Science, ORCID, Google Scholar, and Crossref for automatic DOI resolution. Originally wrote it in Vue 2.6, later rewrote it with Vue 3 and Composition API. The platform grew to 14,000+ publications from 4,000+ researchers.
These days my main interests are converging around backend work in Go, building and automating Kubernetes clusters, and infrastructure tooling. I like exploring concurrency patterns, low-level protocol work (tried implementing Telegram's MTProto in Go as a learning exercise), and making systems simpler and more reliable. I enjoy the kind of work where you dig into how things actually work under the hood — not just using tools but understanding them. I care about the outcome as much as the code, and I bring that curiosity to every team I join.
PostgreSQL, Python, Linux. Not exciting at a meetup, but incredibly reliable at 3 AM. I pick technology that lets me sleep at night, not technology that looks good on a slide.
I write code in the morning, review in the afternoon, and think about architecture in the shower. I prefer async communication, short meetings, and long focus blocks. Here's what working with me looks like.