Mert Bakır
Optimization Systems Engineer
Optimization Systems Engineer with 8 years of experience building large-scale decision and optimization systems. Expertise in heuristic and combinatorial algorithms, spatial analytics, and production-grade software for logistics and resource optimization. Strong foundation in distributed systems, cloud infrastructure (AWS/GCP), and performance-driven backend design.
Experience
Evreka - Technical Lead, Optimization & Decision Systems
August 2022 - Present
- Architected and led the development of a large-scale logistics decision system for logistics networks, enabling route re-optimization, spatial workload clustering, and marginal cost simulation for new customer acquisition.
- Designed and implemented performance-optimized capacitated clustering and heuristic algorithms for large-scale Vehicle Routing Problems (VRP), handling networks with up to 10,000 nodes.
- Built end-to-end spatial analytics pipelines to process raw GPS data, reconstruct operational trajectories, and derive structured stop-level datasets for downstream optimization and analytics.
- Designed and implemented a graph-based dependency resolution system to safely cascade tenant-specific data deletion across a complex multi-tenant schema with partial foreign key constraints.
- Developed custom time-series smoothing and anomaly detection algorithms, reducing noise and false-positive events by 20%.
- Engineered real-time ML-based request validation systems to detect and block malicious traffic, significantly improving uptime and platform reliability.
- Designed and deployed machine learning models for container fill-level forecasting and faulty sensor detection, integrating predictive outputs directly into operational planning workflows.
- Led architectural decisions during migration from Oracle to AWS and GCP, reducing infrastructure costs by 35%.
- Resolved database and backend performance bottlenecks, achieving 4x faster application response times.
- Mentored junior engineers and interns, providing technical guidance in optimization algorithms, ML systems, and scalable backend design.
Evreka - Data Scientist
October 2020 - August 2022
- Developed scalable route optimization services for constrained Vehicle Routing Problems (VRP), building high-performance heuristic solvers, backend endpoints, and REST API integrations.
- Constructed a Mixed Integer Programming (MIP) model for a complex employee scheduling problem with real-world constraints using Python and CPLEX.
- Conducted spatial operations analyses for waste collection fleets, reducing fleet size by up to 17% through optimized routing and workload planning.
- Built robust data infrastructure and ELT/ETL pipelines using dbt, Airflow, MongoDB, PostgreSQL, and AWS to support analytics.
- Integrated Power BI Embedded to deliver interactive operational insights directly to customers.
Turkish Technic - Team Lead, Monitoring & Observability
June 2019 - October 2020
- Initiated and led the company-wide monitoring and observability program from scratch, building centralized log and metrics aggregation infrastructure.
- Led a team of 4 engineers and coordinated with external consultants to design and deploy scalable monitoring architecture.
- Built streaming pipelines for high-volume metrics and logs using InfluxDB and Kapacitor.
- Designed automated incident workflows integrating Kapacitor alerts with Jira, enabling dynamic ticket creation and team assignment based on alert context.
- Collaborated closely with software and database teams to provide service-level observability and performance insights.
- Developed executive-level summary dashboards in Grafana, improving IT decision-making and operational transparency.