Vetted Retrieval-Augmented Generation (RAG) Professionals

“Product leader focused on human-centered AI, with standout experience leading agentic AI strategy for Microsoft’s Cloud Supply Chain during a major GPU demand surge after the OpenAI partnership. They combined platform thinking, embedded AI UX, and influence-based leadership to drive adoption, cut manual effort by 40%, reach 2,000 MAU, and help protect $50M in at-risk revenue, while also building an AI quiz coaching tool for middle-school academic Olympiad students.”

“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.”

“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”

Gowtham Sai Reddy Maddireddy

Screened

Mid Software Engineer specializing in AI platforms and backend systems

USA3y exp

“Built and shipped AI-powered enterprise search and workflow automation features end to end across React/TypeScript, FastAPI, PostgreSQL, and OpenAI/LangChain. Demonstrates practical production experience with RAG, FAISS, monitoring, and human-in-the-loop safeguards, with reported gains of 35% faster response times and 50% higher automation efficiency.”

Arijit Das

Screened

Executive engineering leader specializing in AI, cloud, and FinTech transformation

Dallas, TX20y exp

“Fintech operator at Upstart with hands-on experience in lending underwriting and verification automations, now developing a fully automated HELOC product aimed at reducing funding timelines from 30-45 days to 5 days. Brings strong market conviction in the HELOC space and has already spoken with fintech investors interested in a white-label solution for banks and credit unions.”

“Apple product leader with a rare mix of platform, commerce, UX, and AI workflow experience. They led the App Store Connect rebuild for 50,000+ developer partners, shipped high-impact pricing and payments improvements, and recently built Claude-powered investigation tooling that saves engineering time while preserving human judgment. Strong fit for human-centered AI roles where trust, measurable outcomes, and cross-functional execution matter.”

“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.”

“Product leader at Intuit/QuickBooks Workforce who built an AI-powered conversational agent for payroll and time entry, a high-stakes workflow where mistakes directly affect whether workers get paid correctly. Stands out for combining multimodal AI, RAG, and human-in-the-loop confirmation with strong UX judgment, delivering measurable outcomes including a 60% drop in worker complaints and a 30% faster path to action.”