AI/ML

Description Developed a mobile application tailored for TOEFL education institutions. Designed a scalable AWS Cloud infrastructure capable of supporting 500–600K users, aligned with the client’s budget constraints. Managed end-to-end CI/CD pipelines and organized deployment workflows. Independently designed and built the entire cloud architecture from scratch using core AWS services including SQS, S3, ECS, VPC, Secrets Manager, ALB, Route 53, CloudFront, and CloudWatch. Led and coordinated a 3-member engineering team throughout the project lifecycle. Conducted direct client meetings and performed R&D on integrating TOEFL-specific educational content into the software product. Developed AWS Lambda-based applications to deploy and run AI models within the system. AI & Agentic Systems (Current Role) AI Orchestration & Agentic Systems: Connecting Claude via APIs to internal databases, compliance guardrails, and custom workflows using agent orchestration platforms. Custom Integration: Working directly within a client’s legacy codebase to design custom Retrieve-Augmented Generation (RAG) pipelines and sub-agent hierarchies. Field Intelligence: Providing high-level technical support, capturing customer use cases, and feeding feedback directly to Anthropic’s core product teams. Frontend & Backend Development Built both frontend and backend features using TypeScript. Improved software quality by writing comprehensive backend tests using Vitest. Developed a CMS panel ensuring it met technical content and operational requirements. Key Skills Cloud Infrastructure: AWS (SQS, S3, ECS, VPC, Secrets Manager, ALB, Route 53, CloudFront, CloudWatch), Docker, Kubernetes AI & Agentic Workflows: Claude API integration, RAG pipelines, multi-agent orchestration frameworks CI/CD & DevOps: End-to-end pipeline management, deployment workflows, system observability Production Engineering: TypeScript (frontend & backend), Vitest testing Team Leadership: Led 3-member engineering team, client-facing technical communication

🔗 Live App TOFY Go!: English Learning at Scale Introduction TOFY Go! is a fun and engaging English learning app designed for learners aged 8 and above. Whether preparing for the TOEFL Young Students Series or simply improving English skills, TOFY Go! makes learning feel like play – with interactive city exploration, badge earning, gamified lessons, and real skill-building aligned to standardized test curricula. As the lead Full Stack Developer at Bee2 AI, I designed and built the entire cloud infrastructure from scratch, managed end-to-end CI/CD pipelines, led a 3-member engineering team, and developed both frontend and backend features alongside AI-powered content delivery systems. ...

🔗 Bilyoner Bilyoner AI Match Prediction Platform Introduction An AI-powered sports match prediction platform developed for Bilyoner, one of Turkey’s leading sports analytics and betting information platforms. The system leverages machine learning models and microservices architecture to deliver data-driven match predictions, statistical analysis, and real-time insights across multiple sports leagues. Architecture: Microservices with Spring Boot The platform was built using a microservices architecture with Java Spring Boot, enabling independent deployment, scaling, and maintenance of each domain-specific service. ...