I’m a backend-focused product engineer with 5+ years of experience building SaaS platforms, mobile products, AI agents, data pipelines, payment infrastructure, and real-time systems.

My strongest work sits where product thinking meets complex engineering: understanding the business problem, designing a practical architecture, shipping the product, and improving it with real-world feedback.

• Backend engineering: Python, FastAPI, Django, Node.js, PostgreSQL, Redis, Celery
• Web and mobile: TypeScript, React, Next.js, React Native, FlutterFlow
• AI and automation: LLM agents, RAG, semantic search, document intelligence, N8N
• Real-time systems: WebSockets, Socket.IO, Redis matchmaking, background workers
• Cloud and integrations: AWS, GCP, Docker, CI/CD, Twilio, Stripe, Slack, Google Workspace, CRM APIs

A real-time multiplayer trivia product with automatic matchmaking, server-controlled games, live leaderboards and chat, rewards, payments, an admin dashboard, and mobile distribution.

Built with: FastAPI, Next.js, React Native, PostgreSQL, Redis, WebSockets
My role: End-to-end product architecture and development across backend, web, admin, and mobile surfaces.

A multi-timeframe trading decision and risk-management platform. YieldSync applies deterministic 20MA/200MA rules across 4H, 1H, 15m, and 5m market data, produces explainable ENTER, REFUEL, WAIT, or AVOID decisions, and uses an optional per-asset machine-learning filter to reject weak setups.

Built with: Python, FastAPI, PostgreSQL, Redis, Docker, market-data APIs, machine learning
My role: Backend architecture, rule engine, risk controls, signal orchestration, Telegram workflows, and model-training pipeline.

A developer-first B2B crypto payment platform that helps businesses accept and manage digital-asset payments through secure APIs, wallet monitoring, and a familiar analytics dashboard.

Built with: FastAPI, Next.js, Web3.py, PostgreSQL, Redis, Docker
My role: Payment APIs, authentication, wallet activity, business analytics, caching, and deployment architecture.

An AI learning platform that turns PDFs into concise summaries, audio learning material, and practice questions—helping students work through large documents more efficiently.

Built with: Python, FastAPI, LLM APIs, text-to-speech, AWS S3, Docker
My role: Co-founder and backend engineer responsible for document extraction, AI workflows, APIs, authentication, storage, and deployment.

An autonomous B2B research and lead-enrichment system that turns a plain-English market request into structured, scored prospect data. It combines multi-source search, website research, contact enrichment, validation, and export workflows.

Built with: Python, APIs, web research, data enrichment, scoring, CSV/JSON pipelines
My role: Product architecture, enrichment pipeline, scoring logic, data quality, and delivery workflow.

• Reliable AI systems that combine deterministic rules with language models
• Real-time and event-driven product architecture
• Cross-platform mobile product delivery
• Data products that turn fragmented information into useful decisions

I’m open to senior full-stack, backend, applied-AI, and founding-engineer opportunities, as well as select web, mobile, automation, and AI product collaborations.

If you’re building something ambitious and need an engineer who can work from business problem to production system, send me an email or connect with me on LinkedIn.