Vetted OAuth 2.0 Professionals

Meredith Ma

Screened

Entry-level AI/ML Software Engineer specializing in generative AI and computer vision

Pittsburgh, PA2y exp

“Built and owned a production RAG coding assistant at Magna International used by 200 engineers, with hands-on work across React/TypeScript, retrieval infrastructure, and Postgres observability. Also brings an unusual blend of product UX thinking from AR game onboarding work, showing strength in both technical systems reliability and user activation.”

“AI/full-stack engineer with hands-on production experience across React/TypeScript, Go, and Python, spanning an early-stage education startup and a compliance-sensitive internal healthcare data platform. Stands out for shipping LLM and retrieval-based products with measurable impact, including a 27% recommendation improvement, support for 1M+ daily events, and a 19% lift in task completion in a secure, auditable environment.”

“Engineer with a rare mix of Android, backend, and AI workflow automation experience, spanning Amazon Flex mobile features and legal-tech document automation. Built a globally used in-app recording pipeline at Amazon and previously helped cut immigration legal drafting time by ~50% through AI-assisted document parsing, form filling, and human-in-the-loop review.”

“Spatial computing software engineer focused on making Apple Vision Pro/visionOS accessible, including building VoiceOver and Live Captions features. Debugged a complex Live Captions issue involving dual audio inputs during FaceTime screen sharing by leveraging iOS implementation docs and creating concurrent audio sources; also has safety-critical testing experience from train control systems and is interested in pivoting into robotics.”

“Internship experience deploying cloud-based services into production, including navigating security/resource provisioning and coordinating approvals across impacted teams. Built a Python backend for a local Ollama-based app using open-source models, and has hands-on distributed systems experience implementing and debugging Paxos with extensive logging/state tracing.”

“AppSec/customer security specialist with Atlassian enterprise cloud migration experience, advising on SSO and API token hardening and driving adoption through phased rollouts. Implemented Snyk (SCA) and SonarQube (SAST) in Bitbucket Pipelines with Jira-based vuln workflows, cutting critical vuln MTTR from 30 to 7 days for financial services customers. Strong in SSO troubleshooting (Okta/SAML) and secure AWS/EKS-based agent integrations with secrets management and Datadog observability.”

“Engineering lead/player-coach at Sam's Club who drove major React Native Member Desk Returns changes (including Vision Center insurance refund flows) by coordinating Product/UX, QA, and API teams and leading a 3-engineer squad. Also led an e-commerce mobile OAuth migration, evolving a login experience from vanilla JS to a React SPA as security requirements (MFA, reCAPTCHA) emerged, and improved production reliability via better request flagging and analytics/log instrumentation.”

Tejaswini Manjunatha

Screened

Mid-level Reliability Engineer specializing in incident response and LLM-driven support automation

Palo Alto, USA4y exp

“Customer Success Services / Support professional working on Palantir Foundry who productionizes customer integrations (secure OAuth2, scheduled pipelines) and builds LLM-driven support automation (runbook matching) with monitoring and evaluation suites. Also leads developer workshops/demos on Foundry packaging/installation workflows, using live debugging techniques to make concepts concrete.”

Yashwanth J

Screened

Mid-level Software Engineer specializing in AI/ML and full-stack systems

Seattle, WA4y exp

“Engineer with Apple experience building LLM-powered internal workflow orchestration systems using Python, LangGraph, FastAPI, Redis, vector search, and Kubernetes. Stands out for a highly pragmatic, production-focused approach to agentic systems: deterministic state management, strong guardrails, observability, and human review for high-risk actions.”

“Senior frontend engineer focused on complex internal operations and payment products, with deep experience building React/TypeScript dashboards for payments, subscriptions, and observability workflows. Stands out for going beyond UI implementation to shape API contracts, real-time architectures, performance strategy, and product behavior across support, finance, and engineering use cases.”

“Backend/data engineer with Optum healthcare claims domain experience building high-reliability Python microservices (FastAPI/Kafka/Postgres) and AWS data platforms (EKS, Glue, Redshift). Demonstrated strong production ownership: fixed duplicate Kafka processing via transactional outbox/idempotency, scaled to millions of daily events, and delivered major SQL performance gains (40+ min to <5 min, ~60% CPU reduction). Seeking remote-only work; targets $130k base.”

“Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.”

“Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.”

Richard Ferguson

Screened

Executive technology leader specializing in government, cloud, and cybersecurity

Reno, NV31y exp

“Founder with a bootstrapped startup who navigated early hiring and scaling by leveraging contractor talent before converting key contributors to full-time employees. Active in Northern Nevada's startup ecosystem through Generator and StartupNV, and notably declined angel/VC offers to preserve equity because of strong conviction in a differentiated product and its market fit.”

“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”

“Senior software engineer candidate who uses AI and multi-agent workflows thoughtfully to speed up development while preserving engineering rigor for production-critical decisions. Stands out for a clear risk-based framework: leveraging agents for boilerplate, refactoring, testing, and debugging, while relying on fundamentals, metrics, and human review for system design and scalability.”

“Built internal banking operations products spanning full-stack dashboards and AI-assisted workflow tools. Shipped a RAG-based assistant using PostgreSQL/Redis retrieval with OpenAI and Claude APIs, and used audit-log measurement plus evals/traces to drive a reported ~30% reduction in manual review time.”