Vetted Express Professionals

Pre-screened and vetted.

ML

Junior Software Engineer specializing in AI infrastructure and applied machine learning

Sunnyvale, CA2y exp
GoogleUniversity of Pittsburgh
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HA

Entry-level Software Engineer specializing in AI/ML infrastructure

San Jose, CA1y exp
SplunkGeorgia Tech
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AV

Junior Software Engineer specializing in AI/LLM systems

Bellevue, WA2y exp
MetaUSC
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DP

Senior Full-Stack Engineer specializing in telehealth and commerce platforms

Seattle, WA11y exp
AmwellUniversity of Washington
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VG

Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation

USA5y exp
AmazonNYU
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GR

Senior Full-Stack Engineer specializing in scalable cloud platforms

Wayne, MI14y exp
AflacUniversity of Rhode Island
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HR

Junior Software Engineer specializing in distributed systems and streaming platforms

Los Angeles, CA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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JL

Senior Software Engineer specializing in full-stack platforms and FinTech systems

Boston, MA17y exp
BCGNYU
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RP

Junior Frontend Software Engineer specializing in React, TypeScript, and performance optimization

Chicago, IL3y exp
UberIllinois Institute of Technology
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YP

Senior Full-Stack & AI/ML Engineer specializing in FinTech and Healthcare IT

Remote12y exp
SnykUC Berkeley
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AA

Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms

New York, NY12y exp
Komodo HealthLewis University
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JP

Intern Product Manager specializing in consumer tech and user research

Fremont, CA2y exp
TeslaNortheastern University
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SK

Senior Frontend Software Engineer specializing in React, TypeScript, and UI infrastructure

Seattle, WA5y exp
AmazonUniversity of North Carolina at Charlotte
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BB

Senior Full-Stack Engineer specializing in AI, cloud, and enterprise platforms

Indianapolis, IN12y exp
SalesforceStony Brook University
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Vatsal Gabani - Mid Software Engineer specializing in backend systems and AI-enabled platforms in California, USA

Vatsal Gabani

Screened ReferencesStrong rec.

Mid Software Engineer specializing in backend systems and AI-enabled platforms

California, USA4y exp
Scale AICalifornia State University, Fullerton

Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.

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Vigynesh Bhatt - Mid-level Software Engineer specializing in backend, cloud, and ML systems in Salt Lake City, UT

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp
Goldman SachsBrigham Young University

Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.

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Lawrence Cheng - Mid-Level Backend Software Engineer specializing in FinTech platforms in San Francisco Bay Area, CA

Mid-Level Backend Software Engineer specializing in FinTech platforms

San Francisco Bay Area, CA6y exp
MyVestUC Berkeley

Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.

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SO

Senior Frontend Engineer specializing in scalable, accessible web applications

Atlanta, GA8y exp
ClickUpGeorgia Tech

Engineer with startup experience at a Series B company, where they worked through high ambiguity and personally led an observers feature for a video conferencing platform. They also bring B2B SaaS experience building feature-flagged, permission-sensitive products for customers ranging from startups to large enterprises, plus migration experience moving an acquired app from .NET into a React/Next.js ecosystem.

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Timothy Lee - Senior Full-Stack Engineer specializing in AI platforms and scalable web systems in Live Oak, FL

Timothy Lee

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Live Oak, FL12y exp
Parker AIUniversity of Florida

Built and shipped production agentic/LLM systems that could safely perform real customer and subscription operations, not just answer questions. Demonstrates unusually strong depth in agent orchestration, tool safety, evals, tracing, and backend workflow design across Node.js/TypeScript, Go, Redis, Postgres, Kafka, and GPT-4.

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Bennett Smith - Senior Full-Stack Engineer specializing in cloud-native microservices and React in Los Angeles, CA

Bennett Smith

Screened

Senior Full-Stack Engineer specializing in cloud-native microservices and React

Los Angeles, CA14y exp
Universal StudiosNYU

Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).

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Elvis Rodriguez - Mid-Level Software Engineer specializing in Python, data pipelines, and FinTech systems in Remote

Mid-Level Software Engineer specializing in Python, data pipelines, and FinTech systems

Remote3y exp
AmazonMedgar Evers College (CUNY)

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.

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