Vetted Prompt Engineering Professionals

Bryan Wang

Screened

Senior Business Operations & Chief of Staff specializing in growth and GTM for tech startups

New York, NY7y exp

“Chief of Staff at a high-growth startup who helped scale the company from Seed through Series B while owning fundraising/investor & board relations and building an enterprise GTM motion. Led the first enterprise launch by aligning CEO/CTO priorities under severe engineering constraints, then helped scale an enterprise account to 10-figures in GTV within six months. Known for executive leverage (CEO proxy), company-wide planning/communication systems, and operationalizing enterprise CS/AM processes.”

“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”

“Fintech product builder focused on AI-native opportunities; recently helped their company operationalize LLMs in customer service and bank ops by creating systems to continuously improve prompts and evaluations. Also drove growth by identifying hooks in a major American retailer distribution channel and integrating into the retailer’s payment flows to become a key part of the user funnel.”

Sri Yogesh Dorbala

Screened

Engineering Manager / Tech Lead specializing in large-scale distributed systems

Seattle, WA8y exp

“Software engineer focused on personalization and data/ML infrastructure who built a GenAI/LLM-driven carousel ranking system end-to-end, delivering a reported 6–7% order-rate lift. Also designed large-scale personalization ETL (15PB for ~100M users) and created a custom Airflow operator to integrate with Databricks under enterprise version constraints, with hands-on on-call and data-quality reliability improvements.”

“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”

Diego Leyton

Screened

Senior Software Engineer specializing in AR/VR, metaverse, and game development

Menlo Park, CA14y exp

“Unity/C# gameplay engineer from Horizon Worlds with deep experience shipping multiplayer VR and mobile features, especially scalable real-time animation and object interaction systems. Stands out for redesigning a high-overhead RPC-based animation pipeline into a deterministic client-side playback architecture that reduced network load, improved stability in complex worlds, and enabled previously unpublishable worlds to ship.”

“Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.”