Vetted Front-End Development Professionals

“15-year Talent Acquisition leader in the airline industry who has run large, high-volume recruiting operations (6,000–8,000 hires/year) across airport ops, maintenance, IT, and inflight roles. Known for rebuilding TA workflows and ATS operations (iCIMS) to automate communications and improve compliance transparency—cutting onboarding from 6 to 2 weeks and improving time-to-fill—while also delivering multi-source Power BI KPI dashboards and leading change management for major ATS transitions (Taleo to SAP SuccessFactors).”

“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”

Vatsal Gabani

Screened ReferencesStrong rec.

Mid Software Engineer specializing in backend systems and AI-enabled platforms

California, USA4y exp

“Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.”

“Robotics software engineer/researcher with hands-on experience building a MuJoCo-based digital twin of a 6DOF soft-actuated manipulator, spanning robot design, custom actuator dynamics, classical control (PID/MPC), and RL (imitation learning and TD-MPC2 model-based RL). Also has ROS1-in-Docker SLAM integration/visualization experience and delivered a major trajectory-tracking improvement (error reduced from ~100mm to ~5mm) via Savgol smoothing, plus prototype fleet communications work for a solar-powered power line inspection robot.”

Patrick Jose

Screened

Senior AI Engineer specializing in LLM applications and full-stack systems

San Francisco, CA8y exp

“Built and owned a production LLM/RAG customer support assistant end-to-end, from prototype through deployment, monitoring, and iteration. Their work automated roughly 40% of common support queries and cut response times by about 30%, while also creating reusable Python inference services that improved consistency and team velocity.”

Rohini Rajagopalan

Screened

Director-level Engineering Leader specializing in SaaS, Cloud Migration, and Cybersecurity

Santa clara, CA8y exp

“Senior engineering leader with experience at Cisco, Amazon, and startup Shopkick, operating at high scale (e.g., Secure Web Gateway handling ~40M QPS). Known for measurable impact across reliability and cost (85% efficacy improvement; Datadog spend cut from ~$500k/month to ~$15k/month) and for leading complex platform modernization (1-year monolith-to-microservices/event-driven migration with zero customer impact) plus compatibility-focused API design that cut device onboarding from a month to a day.”

“Product and engineering leader with experience spanning Mozilla, CDW, Interac, and EdTech, including launching Firefox Translations as a privacy-preserving on-device AI feature that reached 1M+ DAU in four weeks. Has also driven $21M in quarterly revenue through AI-powered enterprise device refresh programs and managed 3 cross-functional teams across product, design, QA, and engineering. Brings a distinctive mix of AI product execution, security/identity experience, and a human-centered mission orientation shaped by EdTech work and a Master's in Technology and Social Change.”

“Engineer with experience at Flexport and Microsoft, focused on full-stack and backend platform work in complex workflow and permissions-heavy systems. They’ve shipped customer-facing Next.js/GraphQL features, improved PostgreSQL-backed authorization performance, and driven an event-driven SQS architecture change that improved throughput by ~20% and sped up new workflow development by ~30%.”