Burak Şen

Led end-to-end development of a next-generation observability platform, from requirements analysis and design to implementation, testing, and deployment of critical infrastructure.

Engineered a robust notification microservice, integrating DynamoStreams, AWS EventBridge, and AWS SQS with PagerDuty to enhance product alert monitoring and incident management capabilities.

Developed and published a serverless Lambda forwarder and layer on the AWS Serverless Application Repository, enabling efficient log ingestion from diverse AWS customer services.

Designed and implemented a Common Query Language (CQL) using ANTLR, building custom parsers to facilitate complex queries across ElasticSearch, ClickHouse, Snowflake, and DynamoDB.

Architected and deployed a scalable hybrid log solution, leveraging Golang, Terraform, and Helm to integrate ClickHouse, Redis, and a dedicated Log microservice, enhancing data processing efficiency.

Engineered real-time streaming anomaly detection capabilities within the product, utilizing Apache Flink and Apache Kafka for high-throughput data processing.

Orchestrated an end-to-end metered billing pipeline, integrating Stripe API, webhooks, RedisStreams, SQS, DynamoStreams, and EventBridge, from ClickHouse ingestion to customer notifications and license renewals.

Contributed as a key Backend Engineer for a Series E company valued at $11B, supporting rapid global expansion and serving users across the US, Europe, and Turkey.

Designed and implemented components of a highly scalable service architecture, leveraging Node.js, Redis, MongoDB, RabbitMQ, and AWS services (Lambda, S3) to support massive user growth.

Led in-depth technical analyses for new feature implementations and system enhancements, fostering cross-functional collaboration with product managers, quality assurance engineers, and development teams.

Optimized endpoint response times by up to 5x through concurrent call optimizations, database efficiency improvements, and caching strategies, directly enhancing the experience for over 1 million daily users.

Developed full-stack solutions for Intelligent Transportation Systems and Smart City projects, utilizing Vue.js, .NET, Redis, and PostgreSQL.

Transitioned from a part-time to a full-time role upon graduation, demonstrating consistent performance and commitment.

Developed a deep learning-based image processing system for satellite imagery, converting raw images into obstacle and R-maps using Python, Keras, and TensorFlow (Havelsan).

Engineered embedded software for Power Electronic applications, including DC/DC converters (Aselsan).