I am a Site Reliability Engineer at TikTok where I build high-performance infrastructure, including CI/CD pipelines for large-scale LLM inference engines and global networking for recommendation systems. My technical background is rooted in distributed systems and automation, with experience scaling blockchain oracles and deploying ML workflows across AWS, GCP, and Kubernetes. I aspire to lead initiatives that bridge the gap between complex system reliability and emerging machine learning technologies. My goal is to apply my expertise in high-availability architectures to solve global-scale engineering challenges for innovative, tech-driven organizations
Experience: 4 years
Yearly salary: $0
Hourly rate: $0
Nationality: 🇹🇷 Turkey
Residency: 🇰🇷 South Korea
Experience
Software Engineer
High Entropy Informatics 2024 - 2025
Architected and implemented Tesla telemetry integration, streaming data via Kafka, aggregating with Flink, storing results in S3, and triggering diagnostics on Lambda, enabling US & Canada expansion. Migrated backend infrastructure from AWS EC2 to ECS with blue/green deployment; refactored CI/CD pipeline to reduce deployment time by 70% (from >10 minutes to <3 minutes) with near-zero downtime. Reduced average API latency by ~25% by offloading CPU-intensive battery diagnostics and batch processes from the main Flask server to AWS Lambda. Migrated map data storage and clustering from mobile to backend using PostGIS and sharded Redis with dynamic TTL, reducing app memory usage by 60% and CPU by 80% during map interactions. Tech Stack: Flask, AWS CDK, Grafana, Prometheus, SQLAlchemy, Linux, Networking, Troubleshooting.
Software Engineer (Contract)
Bisonai 2024 - 2024
Developed Orakl, the oracle for Kaia blockchain (Klaytn & Finschia merger, Kakao & Line Corps), serving 250M+ users. Contributed to investor presentations, securing $140,000 and $350,000 grants from Kaia. Developed a highly concurrent custom nonce manager, optimizing block processing (50 events) from 4+ minutes to 3 seconds. Scaled Orakl data feeds from 30 to 100+ token price pairs with <1s latency aggregated from over 10 sources. Developed Logscribe, a Go-based service to process and prioritize millions of server logs weekly, automating GitHub issue creation; generalized it into an internal package adopted by multiple teams. Tech Stack: Go, Node, Python, PostgreSQL, BigQuery, Docker, Kubernetes, Bare Metal, Linux.
Software Engineer
AI-NOMIS 2022 - 2024
Built AI Builder from scratch, an end-to-end feature for chaining open-source models into custom workflows; became part of the MVP that helped secure seed funding. Deployed 20+ open-source models on GKE, exposed inference endpoints, and integrated them with the backend in collaboration with the AI research team. Integrated LangChain with custom tools, enabling non-technical users to interact with deployed models through simple text prompts. Tech Stack: JavaScript (Node, React), TypeScript, Python (Flask), PostgreSQL, GCP, AWS, CI/CD.
Skills
aws
ci-cd
docker
full-stack
gcp
golang
javascript
kubernetes
nextjs
node
postgres
python
react
solidity
sql
typescript