JACOB BELENKII

Designed and shipped a robust React Flow frontend on Cloudflare Pages/Workers, enabling users to author complex conversations as DAGs with Bring Your Own Key (BYOK) via OpenRouter and an append-only immutable-after-commit data model.

Conducted comprehensive problem-discovery interviews with power users in abstract, high-leverage AI work and performed structured competitive analysis across the memory/canvas/context-assembly landscape to refine product direction and market fit.

Stabilized the mobile QA team's Appium-based Java automation framework, significantly reducing flakiness and supporting reliable mobile end-to-end and UI testing.

Designed and executed comprehensive manual and exploratory end-to-end testing across web, Java backend, and React Native mobile applications, effectively catching defects early and raising release confidence.

Automated REST API validation using robust Postman collections and JMeter test plans, improving testing efficiency and coverage across API endpoints.

Streamlined defect triage and resolution by creating plain-language updates and high-quality bug reports (steps, environment, evidence), making prioritization straightforward.

Evaluated and documented strategic approaches to integrate Appium into the CI pipeline, providing recommendations for future adoption and improved continuous testing.

Spearheaded the adoption of Looker for executive and procurement analytics, building custom dashboards and drilldowns to inform inventory and purchasing, directly enabling data-driven decisions.

Migrated a critical codebase from JavaScript to TypeScript, adding types, handling null/undefined edge cases, and rewriting brittle components, significantly improving code stability and maintainability.

Contributed a Spark function to an ML feature-discovery pipeline prototype, consolidating overlapping genomic regions via vectorized operations to improve efficiency at scale for distributed datasets.

Led the integration of barcode printing and scanning into Exai's inaugural lab workflow, coordinating system design, script development, and third-party software deployment to automate processes.

Enhanced code quality and developer efficiency by integrating an LLM-powered GitHub code review bot into the continuous integration (CI) pipeline, establishing a pre-merge quality gate across company repositories.

Implemented a novel network projection algorithm in Python using NetworkX and CDlib, rigorously evaluating its usefulness in detecting clusters with standard statistical accuracy measures (e.g., ROC curves, AUC).

Managed and optimized distributed experimental workloads using Apache Airflow, significantly improving processing efficiency and scalability for large research datasets.

Visualized complex research results effectively with Plotly, enhancing data interpretation and presentation for academic insights and stakeholder understanding.