Osman Melih TOLUNAY

Built Memberra end-to-end (frontend, backend, mobile, DevOps) enabling venues to host events, manage communities, and accept payments; implemented Stripe payments and AWS notification services to generate monetization flows.

Designed and built an autonomous trading system of distributed AI services with a modular network of 9 services and 400+ compute nodes, implemented decision engines, automated risk management, and self-correction retraining workflows.

Refactored backend and optimized serverless infrastructure for a women’s health app with 5M+ users, reducing API latency from 5+ seconds to milliseconds and cutting monthly AWS/Cloudflare costs from $5,000 to $700.

Developed a native n8n plugin to generate automation workflows from natural-language prompts and integrated Vue.js frontend with n8n for real-time workflow execution across enterprise use cases.

Pivoted a no-code chatbot platform into an AI commerce agent system, integrating Shopify and Amazon APIs to enable autonomous sales assistants and building Supabase analytics and prompt-driven CRM controls.

Built an end-to-end AI evaluation platform for a major call center, orchestrating Whisper and DeepSeek models on Kubernetes, handling 20,000+ calls/day and hiring/mentoring a 4-person AI engineering team.

Built mobile and backend architecture for a real-time asset-tracking platform, implemented real-time pricing pipelines and Redis caching for millisecond responses and secure OTP-based authentication.

Improved real-time trading infrastructure for a global crypto exchange by rebuilding WebSocket gateways, stabilizing cross-region communication, and optimizing orderbook synchronization to prevent arbitrage issues.

Built a Web3 talent marketplace using Next.js and NestJS, developed AI clustering for productive cohorts and designed NFT-based identity tokens to represent user talent and experience.

Developed predictive models and optimized data structures for astronomical simulations, improving caching and reducing simulation latency while contributing to high-frequency testing during the James Webb program.

Built microservices for logistics and transport optimization, developed predictive models to optimize fuel usage and scheduling, and contributed real-time dashboards and operational intelligence tools.

Completed a Bachelor of Science in Computer Engineering with coursework and projects in software engineering, systems, and data modeling.

Completed a Web Development Associate program focusing on full-stack web development technologies and practical project work.