Vetted JavaScript Professionals

Timothy Lee

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Live Oak, FL12y exp

“Built and shipped production agentic/LLM systems that could safely perform real customer and subscription operations, not just answer questions. Demonstrates unusually strong depth in agent orchestration, tool safety, evals, tracing, and backend workflow design across Node.js/TypeScript, Go, Redis, Postgres, Kafka, and GPT-4.”

Hardy Lou

Screened

Senior Software Engineer specializing in front-end architecture and enterprise web apps

Santa Clara, CA10y exp

“Frontend-leaning product engineer with strong full-stack collaboration experience across TikTok and Rivian, owning complex internal platforms from concept to production. Stands out for combining product thinking with technical depth: led a high-impact reporting platform initiative that materially increased adoption and CSAT, and also incubated an AI lead-research agent from scratch without a PM.”

“Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.”

“Graphics software engineer with academic robotics/HRI experience at Oregon State University under Dr. Heather Knight, leading a ROS+Python physical robot and Unity/C# VR system to study how motion/texture/collisions are perceived in VR (2 papers + thesis). Also built ROS-based Wizard-of-Oz TurtleBot study systems and multi-robot coordination experiments, plus industry experience with Docker/Kubeflow ML tooling and Azure DevOps CI/CD automation.”

“End-to-end product engineer who built and shipped Shopify Magic, an LLM-powered product-description generator on Amazon Bedrock with RAG over a tenant-isolated vector database, achieving 50% faster content creation, sub-2s latency, and 70%+ merchant adoption. Also led a Flexport migration from a monolithic Rails app to microservices using feature flags and parallel runs, delivering zero downtime and a 60% improvement in development speed.”

YAKKALI PAVAN

Screened

Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems

USA6y exp

“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”

Shahmeer Malik

Screened

Junior Software Development Engineer specializing in cloud security and CI/CD

Herndon, VA2y exp

“Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.”

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.”

Elvis Rodriguez

Screened

Mid-Level Software Engineer specializing in Python, data pipelines, and FinTech systems

Remote3y exp

“Software/data engineer with experience at Google and on Bloomberg-related financial data modernization, building Python pipelines that convert legacy financial datasets into modern structures and iterating based on client feedback (e.g., adding historical change tracking for private placement data). Also built an internal Google usage-metrics dashboard pipeline using Protocol Buffers and scaled execution via sharded parallel cron jobs while scheduling off-hours to avoid impacting a testing tool.”

“Built and owned the end-to-end architecture for a Quick Flows “research card” backend at AWS, using an event-driven AWS stack (SNS/SQS, DynamoDB, S3) to support asynchronous research output processing and status tracking. Emphasized maintainability via unit tests, smoke tests, and CI/CD with staged environments (devtest and gamma).”

“Unity/C# gameplay engineer who has shipped a modular, data-driven combat ability system with strong measurable outcomes (≈80% fewer GC allocations, 15–20% better frame times, 10–12% higher early retention). Also integrated an LLM-driven NPC dialogue/quest hint system with a C#/.NET backend, caching/guardrails, and telemetry-driven iteration, and shipped Photon PUN real-time 4-player co-op plus a shared codebase across Meta Quest VR and iOS/Android.”

“Fintech engineer with high-ownership startup experience at Column, where they led a Go rewrite of a core banking API that cut transaction errors by 98% and increased throughput by 40%. Brings a rare mix of backend systems depth in compliance-sensitive money movement infrastructure and frontend platform experience building React design systems, with earlier experience at Meta on recommendation APIs and News Feed.”

“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”

Shady Ashkar

Screened

Executive Technology & Engineering Leader specializing in SaaS, FinTech and HealthTech

Orange County, CA30y exp

“Engineering leader (Octane) who drove business-aligned technology roadmaps and scaled a fully distributed engineering org from 35 to 150 in 9 months using a rigorous ownership model (OARP). Led a greenfield architecture for a new vertical (AWS Lambda/ECS, Python/JS/React) that delivered an MVP in 3 months while cutting per-service cloud OPEX from ~$300+ to ~$20/month, with 15+ years of remote-first leadership experience.”

Sandeep Rohilla

Screened

Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines

San Francisco, CA19y exp

“LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.”

“Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.”

“Growth-stage full-stack engineer with recent hands-on Go work in a compliance-focused B2B SaaS environment and deep prior experience in React/TypeScript, Node, PostgreSQL, and Elasticsearch at Tend. Stands out for owning cross-stack performance, search, and reliability improvements in fast-moving teams, including reducing latency, improving search efficiency, and designing integrations for regulated operational workflows.”