Vetted Automated Testing Professionals

Pre-screened and vetted.

MD

Mid-Level Software Engineer specializing in fraud analytics and cloud-native microservices

USA, USA4y exp
StripeUniversity of Dayton
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WS

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

New York, NY20y exp
Modus CapitalCairo University
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FC

Senior Software Engineer specializing in Python and AWS cloud-native backend systems

Vista, CA14y exp
IntuitUC San Diego
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HS

Mid-level Full-Stack Developer specializing in AI and FinTech platforms

San Francisco, CA5y exp
MetaNorth Carolina State University
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AB

Junior Machine Learning Engineer specializing in FinTech and scalable backend systems

New York, NY2y exp
Capital OneCornell University
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PN

Mid-Level Software Development Engineer specializing in AWS serverless and backend APIs

Austin, TX5y exp
AmazonUniversity of Central Florida
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SS

Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems

San Francisco, CA6y exp
StripeSaint Louis University
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MC

Mid-Level Software Engineer specializing in cloud-native backend and distributed systems

Toronto, Canada5y exp
Planeri.ioBrainStation
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AT

Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML

New York, NY26y exp
MendGeorgia Tech

IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.

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Poorna Pedapudi - Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices in Seattle, WA

Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices

Seattle, WA5y exp
UberGeorge Mason University

Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.

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Tara Munjuluri - Junior Software Engineer specializing in full-stack and AI systems in Ames, IA

Junior Software Engineer specializing in full-stack and AI systems

Ames, IA3y exp
John DeereCornell University

Backend-focused engineer with end-to-end ownership experience on internal platforms at John Deere, including a workforce and skills system that cut manual review time by 40%. Brings a strong reliability and compliance mindset across Java/Python microservices, AWS infrastructure, and production operations, and has also built an LLM-powered RAG system over 1M+ records with emphasis on grounded outputs and observability.

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Varshitha Macherla - Junior Full-Stack Developer specializing in Java microservices and cloud platforms in Overland Park, KS

Junior Full-Stack Developer specializing in Java microservices and cloud platforms

Overland Park, KS2y exp
UberUniversity of Central Missouri

Full-stack engineer (~2.6 years) with strong Java/Spring Boot backend experience and React/Angular frontend exposure, who has worked on enterprise-scale systems at Dell processing ~1.8M daily transactions/events. Built secure, partner/internal-facing APIs (OAuth2/JWT) across 14 integrations and implemented Kafka-based order/payment workflows with idempotency and sub-700ms processing targets, plus CI/CD and Selenium-based release validation.

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RM

Rohith M

Screened

Mid-level Full-Stack Developer specializing in AWS serverless and Java/Spring

Austin, Texas6y exp
AppleUniversity of Bridgeport

Built and shipped a production generative-AI recipe feature on AWS serverless (Lambda + Bedrock), evolving it post-launch from fully AI-generated outputs to user-guided structured generation based on real usage patterns and system metrics. Emphasizes reliability via prompt constraints plus deterministic validation, with automated/human eval loops and CloudWatch-based observability to manage latency, cost, and output consistency.

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VK

Vasanthi Koya

Screened

Senior Full-Stack/Data Engineer specializing in cloud data pipelines for legal and financial platforms

Schaumburg, IL6y exp
DocuSignUniversity of Illinois Springfield

Data/analytics engineer who built and operated a DocuSign-based real-time analytics platform end-to-end, processing 20–50k webhook events/day with ~99.5% reliability. Strong in idempotent event processing, schema-evolution-safe ingestion (raw JSON + dynamic parsing), and serving data via versioned, low-latency REST APIs with solid CI/CD and observability.

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Peter Greer - Senior Gameplay/AI Engineer specializing in Unreal Engine game AI systems in San Ramon, CA

Peter Greer

Screened

Senior Gameplay/AI Engineer specializing in Unreal Engine game AI systems

San Ramon, CA6y exp
Theorycraft GamesUC San Diego

Senior Software Engineer with deep Game AI expertise (often the primary AI specialist on the team) who shipped a player-bot system in an Unreal-based battle royale to fill matchmaking gaps, reducing off-hours queue times and improving retention. Also owned complex multiplayer match-start/drop-sequence synchronization and has experience optimizing core gameplay systems (e.g., line-of-sight calculations) on Call of Duty at Infinity Ward.

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AU

Junior Software Engineer specializing in identity and backend systems

Redwood City, CA3y exp
OracleGeorgia Tech

Sole engineer on a large-scale authentication migration moving 350+ tenants from password-based auth to OAuth 2.0 client credentials, delivering zero downtime, full adoption, and no support tickets. Also has early hands-on experience with agentic LLM proof-of-concepts and has built structured workflow tooling to reduce ambiguity in customer-to-engineering handoffs.

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Darsh Sharma - Mid-level Software Engineer specializing in ML systems and microservices in Madison, WI

Darsh Sharma

Screened

Mid-level Software Engineer specializing in ML systems and microservices

Madison, WI2y exp
TeradataUniversity of Wisconsin–Madison

Teradata Text Security intern who built a production LLM-powered planner agent that decomposes complex tasks into dependency-aware subtasks (DAG/topological graph) and executes them via a custom orchestrator with parallelism, status tracking, and error handling. Also contributed to an HR-facing internal document chatbot concept to streamline onboarding, showing cross-functional collaboration.

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SA

Suhas Athreya

Screened

Junior Salesforce & AI Product Consultant specializing in public sector and enterprise platforms

Bengaluru, India2y exp
Overleap NetworksCarnegie Mellon University

Software/cloud engineer with PwC experience deploying a nationwide Australian Government Salesforce labor licensing platform used by 200k+ professionals, emphasizing safe integration, CI/CD, and UAT-driven quality improvements (40% defect reduction). Also built a Python/FastAPI RAG system with the U.S. Army to convert CONOP documents into risk assessments, adding human-in-the-loop and provenance features to address operator trust concerns.

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Akhilaa Sonduri - Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps in Cambridge, MA

Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps

Cambridge, MA2y exp
HubSpotUSC

Full-stack engineer with experience at HubSpot, Accolite, and an early-stage USC alumni startup (Workup). Built and shipped end-to-end workflow automation features (dynamic input configuration with strict schema validation) driving ~25% faster configuration, and delivered an AI interview customization feature in a high-ambiguity startup setting that increased adoption by ~40%. Comfortable operating production systems on AWS with CloudWatch observability and CI/CD, and has built real-time web apps with caching/indexing for performance.

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SR

Mid-level Backend Software Engineer specializing in cloud-native microservices

Remote, USA4y exp
BrexArizona State University

Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.

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Tom Dinwiddie - Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration

Tom Dinwiddie

Screened

Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration

20y exp
AutoZoneUC Irvine

Technology executive/CTO-type leader with experience at ALLDATA defining and operationalizing an executive-prioritized roadmap, scaling distributed engineering teams (including expansion in Mexico and India), and modernizing products onto a containerized Google Cloud architecture. Highlights include 99.96% reliability, 38% maintenance cost reduction, and strong security/compliance posture (CyberArk, ISO27001, SOC2, SOX).

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Rucha Joshi - Junior Software Engineer specializing in full-stack and backend development in Austin, TX

Rucha Joshi

Screened

Junior Software Engineer specializing in full-stack and backend development

Austin, TX2y exp
General MotorsGeorgia Tech

Builder of multiple zero-to-one consumer applications, including an anonymous writing feedback tool with a Gemini-powered chatbot, a dietary-profile recipe product using LLM-based substitutions, and a live-updates Sports Hub. Stands out for hands-on full-stack execution, iterative AI experimentation, and a quantified 80% reduction in time users spent finding recipe-compatible ingredients and options.

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VB

vinay bhat

Screened

Executive platform architect specializing in enterprise cloud and developer platforms

Chicago, IL21y exp
Northern TrustUniversity of Illinois Chicago

Candidate is motivated by solving novel problems and brings an innovation mindset from their current work, where they introduced new practices and implemented an automated database change migration process that reduced errors and improved efficiency. They evaluate new ideas rigorously through user research, product discovery, market analysis, and competitive differentiation.

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