Vetted Dashboarding Professionals

Yernar Smagulov

Screened

Mid-level Software Engineer specializing in autonomous vehicle operations and test automation

Foster City, CA4y exp

“Hands-on Python/IoT engineer with experience spanning research labs and autonomous vehicles (Zoox), focused on making data/decision-support systems reliable in production. Has deployed and Dockerized Python tools with pinned dependencies, built sensor-based on-prem data collection systems (aquafeed evaluation), and troubleshot telemetry issues down to a failing switch port using logs, multimeter checks, and network diagnostics.”

Yiteng Xu

Screened

Director of Lab Automation specializing in high-throughput assays and NGS workflows

South San Francisco, CA9y exp

“Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.”

“Recruiting leader with experience in both large-scale financial institutions (Morgan Stanley/JPMorgan) and a high-growth fintech (CAIS), including managing a 12-person recruiting team and staying hands-on with executive searches. Led a high-visibility Director of Finance search reporting to the President and drove process modernization by implementing AI tools (BrightHire, Metaview) to standardize interviews and improve sourcing. Regularly partners with HRBPs and C-suite leaders on restructuring, compensation alignment, and strategic talent pipeline programs (internship redesign with intern-to-FT conversions).”

“Senior Technical Recruiter with 15 years’ experience (including 3 years people management) at Amazon, partnering closely with business, finance, and HR on headcount planning, approvals, and hiring strategy. Known for operational problem-solving—redesigned a stalled Solutions Architect workflow (JD + interview panel) to cut time-to-fill to 67 days—and for scaling hiring under pressure (350 hires/quarter) while maintaining quality standards.”

Alberto Alanis

Screened

Director-level Global Talent Acquisition Operations leader specializing in AI and shared services

Dallas, TX21y exp

“Talent Acquisition Operations leader with experience at Uber and Workday spanning global hiring process reengineering, ATS/analytics implementations (iCIMS, Tableau, Paradox), and large-scale recruiting coordination leadership. Managed a 90+ person coordination organization across North & Latin America and redesigned the operating model (queue to pods) to double productivity while maintaining strong stakeholder experience.”

Bennett Smith

Screened

Senior Full-Stack Engineer specializing in cloud-native microservices and React

Los Angeles, CA14y exp

“Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).”

Karan Mehta

Screened ReferencesStrong rec.

Director-level Business Operations & GTM Strategy leader specializing in analytics and performance

Foster City, CA9y exp

“ZS consultant/product owner who repeatedly turns vague GTM performance goals into decision-centric analytics products and operating rhythms. Has scaled analytics initiatives from pilots into $1M+ platforms with 100+ leader adoption, and tied measurement tools to material business outcomes (e.g., $10M+ incremental revenue impact) through change management and cross-functional alignment.”

“Real Estate & Construction professional at Analog Devices who built a cross-functional "single source of truth" system (Excel to Smartsheet) integrating tools like CoStar and Conga. Previously co-founded a Shanghai-based communications coaching consultancy serving eBay middle managers, handling incorporation, branding/marketing (including WeChat), office negotiation, and growth through increased class frequency and mentoring.”

Deekshit Myakala

Screened

Mid-level Software Engineer specializing in cloud automation and data/ETL platforms

Arlington, Virginia6y exp

“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”