Oleksandr Chulkin

• Expanded AI-assisted engineering practice through Agentic Engineering certification, AI conference participation, open-source TypeScript/React contributions, and architecture exploration for a permission-aware RAG application using SDD and vertical-slice planning.
• Led multiple modernization initiatives for InsurTech and FinTech applications serving millions of users.
• Integrated enterprise systems with MongoDB's modern data platform, leveraging its scalable infrastructure for cloud-ready applications.
• Migrated legacy stacks, including COBOL, .NET, Oracle ADF, and Oracle DB, to modern Java 21 architectures with Spring Boot and MongoDB, enabling scalable, testable services and repeatable migration pipelines.
• Developed Python migration tooling with LLM-assisted COBOL-to-Java conversion in 2 weeks, enhancing sprint throughput by 30-50% and decreasing escaped defects by 3-4×.
• Reduced DB integration test setup time using Java from ~2-2.5 hours to ~30 minutes by building automated test harnesses for fixtures, environments, and repeatable setup, saving 30-35% of development time per commit.
• Increased legacy modernization throughput using Java by ~2× within 10 weeks by applying structured decomposition, incremental Strangler Fig migration, and improved engineering workflows.
• Streamlined Java remediation using Python for SonarQube, ErrorProne, and code-quality issues through prompt-driven refactoring workflows, facilitating 2-3× more non-blocking cleanup runs across codebase.
• Created Gatling/Scala performance gate to stress-test critical paths pre-release, revealing latency and stability regressions early and minimising error-prone execution paths by 3-5×.

• Owned end-to-end delivery of Java and Python microservices within a large multi-team PaaS platform for a leading global automotive brand, spanning CI/CD, load balancing, Kubernetes orchestration, and production-readiness improvements.
• Reduced deployment cycle time by 70% through automation of Helm validation, post-merge packaging, and Argo CD synchronization across ~10 cross-functional teams.
• Reduced p95/p99 latency spikes by up to 10× within 3 weeks by redesigning hot-path caching with jittered TTL, stale-while-revalidate, and single-flight refresh.
• Decreased cross-database replication failures by 50-70% via Debezium CDC implementation on Kafka with schema deduplication and disciplined connector operations, enhancing data integrity for revenue-critical flows.

• Prepared and processed data for Pacific Gas and Electricity Company, focusing on rates, usage, bills, and forecasts to ensure accurate reporting.
• Implemented production REST APIs with Dropwizard: migrated on-premises Java workloads to Oracle Cloud with Nomad, thus improving elasticity up to 30% in 2 months (no SLA sacrifice).
• Processed high-volume regulatory datasets (rates, usage, bills, forecasts) for Pacific Gas and Electric; optimised Java services and batch paths for enhanced throughput and auditability.
• Operated ETL with Spring Batch, Apache Spark, and Hadoop MapReduce, ensuring compliance with SLA windows for downstream analytics and reporting.

Projects: RFID event capture, storage, and processing system, Telecom project(TiVo), Ticket sales application(TicketFly/Burning Man'2015), Document management system