Vetted AWS Professionals

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).”

Durgaprasad G

Screened

Mid-level AI/ML Engineer specializing in LLM infrastructure, RAG, and agentic systems

New York City, NY3y exp

“Stripe engineer who owned and unified multiple team RAG systems into a shared production platform used by 200+ internal operators, deployed on EKS with Kafka ingestion and hybrid retrieval. Drove measurable business outcomes including <400ms latency, ~35% inference cost reduction, ~25% accuracy lift via fine-tuning, and real-time auto-approval of 80%+ merchant compliance applications through strong observability and reliability patterns.”

“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).”

“Robotics software engineer with extensive ROS2 academic project experience (UMDCP), including a drone-based 3D object reconstruction system using Mast3r where they built ROS2 nodes for autonomous image capture, containerized the ROS2/OpenCV stack for hardware deployment, and automated AWS uploads/compute-triggered reconstruction. Demonstrated strong sim-to-real debugging using ROS bags and PlotJuggler to correct yaw/trajectory offsets, and built multi-node TurtleBot navigation using visual cues (horizon/stop signal/obstacle detection) feeding a cmd_vel controller.”

“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”

“Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.”

“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”

“ML/robotics engineer with Apple experience who built a computer-vision-driven industrial defect detection system integrating a robotic arm with ROS-based real-time inference on an edge GPU. Drove major performance gains (cut inference time ~60% via quantization + TensorRT) and improved robustness to lighting/material variation, with strong emphasis on production reliability (health checks, watchdogs, observability, CI/CD) and interest in shaping early-stage startup engineering culture.”

“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.”

“Built and owned end-to-end deployment and AI support workflows spanning CI/CD, Kubernetes, Terraform, and LLM/RAG systems. Stands out for combining DevOps delivery with production AI operations, including secure tool-calling, incident debugging, retrieval quality controls, and validation-first document ingestion for messy real-world inputs.”

“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.”

“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%.”

Brian Paul

Screened

Junior Frontend Software Engineer specializing in FinTech and crypto products

San Francisco, CA2y exp

“Frontend engineer with Coinbase experience building high-trust crypto product flows such as staking and asset wrapping, plus data-heavy verified pool visualizations. Stands out for scalable React/TypeScript architecture, clean data-transformation layers, and strong attention to maintainability, performance, and design-system consistency.”

Gregory Walton

Screened

Senior Software Engineer specializing in SRE, cloud automation, and reliability tooling

Sunnyvale, CA11y exp

“Technically oriented builder focused on taking ambiguous LLM/agentic workflow needs from scoped problem definition to iterative prototypes, with emphasis on edge cases and customer feedback. Has hands-on experience debugging RAG/agent systems, including resolving a real integration issue involving search query quoting differences between manual search and an API, and is comfortable fielding deep developer Q&A in demos.”

“Product/operations-focused builder exploring an AI-based vacation planning app (early-stage). Previously drove a large-scale fulfillment-center automation initiative impacting 1.2M associates, reducing peak-season ad-hoc hiring and delivering ~$39MM in annual savings through a metrics-driven, cross-functional execution approach.”