Vetted Test Automation Professionals

“LLM/agent engineer who has shipped multiple autonomous, multi-step agents to production (document-to-SOP conversion, test generation, code generation) using a custom Python DAG orchestrator with persistent state, tool-calling permissions, and structured outputs (Pydantic/JSON Schema). Demonstrates strong production hardening practices—semantic contracts, golden-dataset prompt regression tests, circuit breakers, and multi-level monitoring—and delivered large productivity wins (34 hours of manual writing reduced to ~20 minutes review; ~15–20 engineering hours/week saved).”

Bhargava Prabu Reddy Mallikarjuna

Screened

Mid-Level Full-Stack Software Engineer specializing in automation, microservices, and cloud deployments

Cupertino, CA3y exp

“Full-stack engineer with experience at Apple, Walmart, and a healthcare startup (Legacy), building customer-facing PWAs and internal platforms. Delivered HIPAA-compliant clinician/patient workflows with rapid weekly releases and measurable engagement gains, and built scalable automation/testing and real-time analytics systems using Next.js/React/TypeScript, Node/FastAPI, Redis, and PostgreSQL.”

Jason Salas

Screened

Senior QA Engineer specializing in game quality ownership, automation, and analytics

Los Angeles, California9y exp

“QA/engineering background spanning Riot Games (VALORANT leaderboard systems) and early-stage startups. Has hands-on experience improving performance and reliability via caching, rate limiting, deduplication/idempotency, and shipping/validating high-stakes production hotfixes; also builds Next.js/TypeScript projects and automation/internal tools (Python).”

colton childrey

Screened

Senior QA Leader specializing in AAA games, XR platforms, and backend systems

Los Angeles, CA7y exp

“Game/interactive software QA professional with experience spanning AAA titles (Activision Black Ops 3; Halo 4/Forge) and VR at Meta (The World Beyond). Notable for modernizing QA operations at Lego BrickLink Studio by implementing Testmo and dramatically increasing test coverage and user satisfaction, plus quickly diagnosing and unblocking a critical public-launch issue caused by misconfigured gatekeeper flags.”

“Solutions Architect with hands-on experience driving AWS Partner Network engagements end-to-end (technical reviews, discovery, demos, incentives, marketplace/GTM) to enable revenue outcomes, even when not the direct closer. Known for navigating complex policy/compliance changes with high-revenue partners and for being a go-to Amazon Connect specialist in ambiguous customer environments; also collaborated with founders of a small health tech company on an AI agent concept tied to healthcare workflows and medical records.”

Blake Thomas

Screened

Director-level Engineering Leader specializing in AI and EdTech platforms

San Mateo, CA21y exp

“Has been on the receiving end of a VC investment and took responsibility for significant parts of the diligence process, drawing parallels to hands-on work with security compliance and auditors. Approaches entrepreneurship and idea selection with a structured framework (leverage, resources/runway, passion) and a sustainability-first mindset around risk and personal/family well-being.”

Krishna Guda

Screened

Principal Product Engineer specializing in FinTech platforms, experimentation, and AI workflows

Mountain View, CA24y exp

“Fintech product engineer working on a large-scale credit monitoring platform (tens of millions of users) with deep experience in regulated banking integrations, PII security, and step-up/MFA flows. Has shipped customer-facing React/TypeScript experiences driven by Optimizely experimentation and built reliable partner-facing microservices/SDKs on AWS, including resolving production traffic loss caused by edge security (DataDome/CAPTCHA) conflicts with payment providers.”

Parth Tusham

Screened

Intern Software Engineer specializing in systems, cloud, and security

Sunnyvale, CA1y exp

“Systems and infrastructure engineer pivoting toward robotics software; brings strong low-level debugging, multithreaded systems, and networking experience where correctness and timing matter. Has hands-on experience using Docker and CI/CD to build reproducible test/evaluation environments (thesis), and proposes a disciplined, contract-driven approach to distributed communication and real-time performance debugging.”

“Software engineer intern at Nutanix who independently shipped and maintained an internal smoke-test/failure-analysis dashboard, integrating failure data from multiple upstream systems (e.g., Jira, Jenkins, CircleCI) via REST APIs. Also has prior data-science experience building Postgres-based asset management analytics with automated reporting and indexing for faster time-series retrieval.”

“Undergraduate robotics researcher who built a crowd-aware motion planning system to navigate safely and efficiently through dynamic pedestrian environments, implementing the full pipeline in ROS (move_base, global planning, SLAM/localization) and validating via 2D crowd simulation. Also brings modern software delivery experience from web apps, including Docker/Kubernetes-based cloud deployment and CI/CD with automated testing.”

“Amazon engineer who owned customer-facing Alexa features and built automation-heavy delivery practices (API/service-level testing in CI/CD) to ship quickly without sacrificing stability. Also built an internal self-service feature management/beta access platform (Angular + Spring Boot + event publishing) that replaced a multi-team ticket workflow with instant, auditable operations, and has deep microservices/Kafka experience with strong observability and reliability patterns.”

“Full-stack developer who built a learning management web app end-to-end using React, Spring Boot, and MySQL, integrating APIs via Axios and validating/testing with Postman. Has experience handling data-heavy workloads (courses, quiz results) and improving performance with pagination, and is comfortable designing microservice-style endpoints with CI/CD considerations.”

Swagat Adhikary

Screened

Junior Software Engineer specializing in LLM agents and FinTech platforms

Raleigh, NC1y exp

“AI/LLM engineer with Fidelity Investments experience who built and shipped a production GraphRAG system that augmented prompts with codebase context, improving business analyst efficiency by 15% and saving ~$3.5M annually. Strong in AWS EKS/Kubernetes/Helm and enterprise IAM/OIDC patterns (including cross-account S3 access), with experience mentoring interns and collaborating with non-technical leaders to extend AI pipelines (e.g., adding SQL functionality during MVP).”

Manaswini Gogineni

Screened

Junior Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp

“Full-stack/platform engineer who has owned real-time analytics products end-to-end and built scalable TypeScript/React + Node.js systems using event-driven and microservices architectures (Kafka/RabbitMQ). Also created a widely adopted Go CLI that standardized AWS/Terraform provisioning across multiple teams, cutting environment setup from days to minutes through opinionated defaults, documentation, and cross-org partnerships.”

Chris Ferrario

Screened

Principal Gameplay/AI Programmer specializing in game AI and gameplay systems

London/Zurich18y exp

“Gameplay/AI engineer with end-to-end ownership of racing-sim AI (fair physics parity, competitive overtaking) and strong iteration tooling (live tuning + config). Has shipped networked VR multiplayer work at Ready At Dawn, including a consensus-style goal validation approach to reconcile non-deterministic replication/smoothing discrepancies, plus experience with Havok/Bullet, spline math (Catmull-Rom), and complex creature/boss animation behaviors.”

Eric Low

Screened

Principal Engineering Leader specializing in platform, product, and AI advisory

14y exp

“Fractional CTO/lead engineer who shipped an end-to-end Next.js + FastAPI product experience (login, data processing results, chatbot Q&A) with an architecture designed to support future ML model integration. Has led large-scale engineering enablement (continuous delivery across ~150 devs/200 systems), owned production incident response with lasting test/contract improvements, and delivered a 3x productivity gain by fixing debugging/tooling bottlenecks while mentoring junior teams into independent delivery.”

Yash Nileshkumar Mirani

Screened

Mid-level Software Engineer specializing in AI agents, data pipelines, and cloud systems

Sunnyvale, CA5y exp

“Generalist software engineer with recent contract work at Vertex Pharmaceuticals shipping a desktop-integrated RAG assistant for lab scientists (2000+ pages ingested; ~40% support-ticket reduction in pilot). Previously owned Python/AWS financial automation services at Amazon operating at multi-billion-dollar scale, with strong strengths in API design, observability, and database/performance tuning; also built a React/TypeScript AI contract analysis product (ContractsGuy).”

Abhirup Chakraborty

Screened

Junior Software Engineer specializing in backend systems, AI, and search

Champaign, IL3y exp

“Built a complex graph-based search engine to find connections between people and has hands-on experience designing multi-agent coding pipelines that move features through implementation, test generation, testing, and sanity checks. Stands out for treating AI agents like an engineering team, with shared-memory coordination, queue signaling, and completeness-focused guardrails to improve reliability and reduce ambiguity.”

Carlos Morales

Screened

Director-level QA Manager specializing in AAA game testing, live services, and VR worlds

San Francisco, CA16y exp

“Game QA professional with ~5 years in embedded QA roles across major studios (Experis Game Solutions, Activision, Ubisoft, Meta), including ownership of the Weapons feature area on Ubisoft’s XDefiant and feature testing on Warzone. Known for risk-based, cross-system test coverage (matchmaking/party, progression, entitlements/MTX, performance across PC/console, live-service integrations) and for leading cross-discipline meetings and release readiness reviews.”