Vetted Multithreading Professionals

Pre-screened and vetted.

Ping-Hsuan Wu - Junior Software Development Engineer specializing in AWS cloud and distributed systems in Seattle, US

Junior Software Development Engineer specializing in AWS cloud and distributed systems

Seattle, US2y exp
AmazonCarnegie Mellon University
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KS

Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems

Austin, TX3y exp
GoogleUniversity of Colorado Boulder
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DD

Mid Software Engineer specializing in distributed systems and AI platforms

Seattle, WA4y exp
AmazonBrown University
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DL

Entry-level Software Engineer specializing in distributed systems and full-stack development

Seattle, WA1y exp
AmazonDuke University
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CC

Senior Software Engineer specializing in full-stack, AI/ML, and cloud platforms

Virginia Beach, VA12y exp
NetflixColumbia Southern University
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CJ

Mid-Level Software Development Engineer specializing in AWS AI inference platforms

Seattle, WA4y exp
Amazon Web ServicesUniversity of Pennsylvania
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DS

Intern Machine Learning Engineer specializing in systems, kernels, and GPU computing

2y exp
AppleColumbia University
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CH

Junior Robotics Engineer specializing in autonomous systems and controls

Philadelphia, PA6y exp
University of PennsylvaniaUniversity of Pennsylvania

Robotics software engineer/research lead building an off-road mobile base, owning system integration across mechanical/electrical/embedded and developing controls + motion planning deployed from simulation to hardware with ROS 2/ROS 2 Control. Has deep ROS 2 experience (NAV2, MoveIt) and built a GridMap-based off-road elevation-to-traversability mapping stack using nonlinear optimization; also tuned real robots using Vicon and developed a quadcopter geometric/PID controller.

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GU

Engineering executive specializing in production ML systems and enterprise SaaS

San Francisco, CA26y exp
FLYRCarnegie Mellon University

Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.

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YT

YUSEN TIAN

Screened

Senior Software Engineer specializing in cross-platform rendering and game UI systems

Hawaii, U.S.9y exp
Catenary GamesUCLA

Game UI engineer with shipped experience on Paladins (Unreal Engine 3/C++), including an in-game store with automated grid-based recommendation layout and an inventory UI built for PC/PlayStation/Xbox/Switch. Emphasizes production readiness through clean separation of UI/data, strong documentation for engineering and content workflows, and memory-conscious UI patterns (pooled entries/paged navigation) for constrained platforms like Switch.

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Varun Panigrahy - Mid-level Software Engineer specializing in distributed systems and big data in Sunnyvale, CA

Mid-level Software Engineer specializing in distributed systems and big data

Sunnyvale, CA3y exp
MicrosoftUniversity of Massachusetts Amherst
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Shikha Gupta - Senior Software Engineer specializing in AI/ML, search, and recommendation systems in San Diego, CA

Senior Software Engineer specializing in AI/ML, search, and recommendation systems

San Diego, CA7y exp
AppleStony Brook University
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JC

Senior UI & Gameplay Engineer specializing in Unreal Engine and multiplayer systems

17y exp
Warner Bros.Georgia Tech
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RD

Mid-level Software Engineer specializing in systems, CUDA, and robotics/AI

Santa Clara, CA2y exp
NVIDIAGeorgia Tech
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HL

Hung-Chih Liu

Screened

Mid-level Distributed Systems & AI Infrastructure Engineer

Sunnyvale, CA3y exp
AmazonUCLA

Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.

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AD

Alfred Dwan

Screened

Intern Software Engineer specializing in AI, cloud-native systems, and MLOps

Hong Kong, China1y exp
PredictXNYU

Backend/full-stack engineer who has owned a production recruiting platform end-to-end (TypeScript/Node microservices for scraping/cleaning/serving job data, RabbitMQ for spike handling, MongoDB + Elasticsearch, AWS containers) with pragmatic CI, logging/alerts, and Docker Compose E2E tests. Also operated high-traffic event pipelines during a Binance internship using Kafka + Redis idempotency, with strong observability and failure-mode/rollback/degradation practices, and has experience designing developer-friendly REST APIs and resilient browser automation for E2E flows.

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SG

Sai Gundeti

Screened

Mid-Level Backend Software Engineer specializing in distributed systems and billing platforms

San Francisco, California5y exp
UberUniversity of Cincinnati

Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.

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JL

Justin Lee

Screened

Mid-level Account Executive specializing in SaaS and Marketing Technology

Bay Area, CA6y exp
Salesforce

B2B SaaS MarTech/GTM seller with 7+ years experience across Adobe Marketo, Salesforce, and TriNet; known for disciplined daily outbound and trigger-based prospecting. Self-sourced and closed a $300K/3-year Marketo Engage deal (MNTN) by multi-threading marketing and ops stakeholders and quantifying ROI, and has led org-wide enablement (trained 400+ sellers) on ZoomInfo-driven, trigger-based outreach.

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SR

Mid-level Machine Learning Engineer specializing in LLMs and RAG systems

San Francisco, CA5y exp
Scale AIUniversity of New Haven
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SL

Senior Robotics Research Scientist specializing in safe, communicative motion planning and ML

United States10y exp
Toyota Research InstituteUniversity of Texas at Austin
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Madhukar Polusani - Mid-level Full-Stack Software Developer specializing in Java microservices and React on AWS in Texas, USA

Mid-level Full-Stack Software Developer specializing in Java microservices and React on AWS

Texas, USA7y exp
UberSaint Louis University
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PB

Junior Software Engineer specializing in systems and cloud infrastructure

2y exp
AmazonUniversity of Wisconsin–Madison
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