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Vetted GitLab Professionals
Pre-screened and vetted.
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Senior Software Engineer specializing in AI/LLM and distributed cloud systems
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure
Senior Full-Stack Engineer specializing in telehealth and commerce platforms
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Executive GTM & Customer Success leader specializing in AI, robotics, and enterprise SaaS
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”
Phil Lerner
Executive technology leader specializing in cybersecurity, healthcare IT, and AI
“Seasoned global CTO and executive leader with 20+ years of experience, including a $389M non-founder exit to a Fortune 10 acquirer. Now building a pre-seed AI-driven diagnostic imaging platform for pets with web and mobile products, beta customers, and a patent-pending solution aimed at saving pet lives.”
Lawrence Cheng
Mid-Level Backend Software Engineer specializing in FinTech platforms
“Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.”
Avinash Pittu
Mid-level Software Engineer specializing in ads, full-stack systems, and AI automation
“Meta engineer who emphasizes AI-native development workflows, using Claude Code heavily to ship UI and performance fixes quickly. Notable examples include a location-aware ad relevance feature that increased CTR and revenue, and a vehicle insights chatbot whose UX improved through metric-driven prompt tuning.”
Kenneth Young
Senior Site Reliability Engineer specializing in production LLM/RAG deployments
“Built and operationalized an internal LLM/RAG system for engineering specs—starting with an at-home prototype using real ERP documents, then securing hardware, standing up a GPU/software stack, and deploying through UAT to production. Identified organizational gaps (no shared spec repository) and created a queryable RAG database that reportedly cut document discovery from days/weeks to minutes, while also resolving retrieval issues via improved PDF-aware chunking.”
Benjamin Ung
Senior Machine Learning Software Engineer specializing in computer vision and simulation
“Robotics engineer who worked on a lunar rover program, building a simulation environment that mirrored real hardware interfaces and incorporated moon-terrain slip/friction modeling validated against a physical “moon yard.” Also integrated an ML-based munition X-ray inspection system via REST APIs, deploying and scaling inference on Azure with Kubernetes plus Prometheus monitoring, load balancing, and self-healing reliability mechanisms.”
Timothy Lee
Senior Full-Stack Engineer specializing in AI platforms and scalable web systems
“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.”