Vetted GitHub Actions Professionals

Pre-screened and vetted.

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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EP

Senior Backend Engineer specializing in Python and cloud data platforms

Santa Clara, CA8y exp
RulaSanta Clara University
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GP

Junior Robotics Test Engineer specializing in ROS2 autonomous mobile manipulation

Fremont, CA1y exp
Anyware RoboticsUC Berkeley
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VN

Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines

CA, USA6y exp
StripeSoutheast Missouri State University
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VP

Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps

Mountain View, CA5y exp
MetaUniversity of North Carolina at Charlotte
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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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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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JQ

Senior Software Engineer specializing in generative AI and real-time platforms

Miami, FL10y exp
RunwayUniversity of Florida
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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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SD

Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps

27y exp
Johnson & Johnson
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Cheyenne Vasseli - Senior DevOps Architect specializing in cloud and platform engineering

Cheyenne Vasseli

Screened ReferencesStrong rec.

Senior DevOps Architect specializing in cloud and platform engineering

8y exp
VolkswagenUniversity of Michigan

Senior DevOps/infrastructure leader currently owning all DevOps for Audi Digital, including audiusa.com and its supporting cloud, CDN, CI/CD, and repository ecosystem. Stands out for delivering two simultaneous enterprise-scale migrations—100+ repo GitHub migration and Apollo Router supergraph platform migration—two months early with minimal disruption, while operating deeply hands-on in Kubernetes, containers, and cloud architecture.

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AC

Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision

Teaneck, NJ10y exp
AetrexColumbia University

Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.

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GK

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning

San Francisco, CA5y exp
MetaUniversity of Central Missouri

ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.

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RS

Rajan Souda

Screened

Mid-level AI Engineer specializing in Generative AI and MLOps

St. Louis, MO6y exp
BJC HealthCareNorthwest Missouri State University

Built and deployed a production LLM-powered clinical support assistant at BJC HealthCare (RAG + transformer) to answer patient questions, summarize clinical notes, and support appointment workflows. Implemented PHI-safe data pipelines (Spark/Hadoop/Kafka) with automated scrubbing, dataset versioning, and audit logs, and runs the system on Docker/Kubernetes with Pinecone vector search while partnering closely with clinical operations staff.

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AA

Mid-level Software Engineer specializing in distributed systems and FinTech infrastructure

New York, NY
BloombergNYU

Early-career software engineer who owns revenue-critical invoice processing and internal ops tooling end-to-end. Has built TypeScript/React systems backed by MongoDB and Temporal, and designed scalable SQS-based onboarding workflows with FIFO/DLQ monitoring. Notably redesigned an Authzed SpiceDB authorization model, shrinking a 500+ line schema to ~20 lines while meeting sub-100ms p95 latency.

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JP

Engineering Manager specializing in MLOps/DevOps and CI/CD for deep learning platforms

Santa Clara, CA14y exp
AmazonUniversity of Texas at Arlington

Player-coach engineering leader focused on AWS ML infrastructure and deep learning image delivery: provisioned EKS/Kubernetes for multi-node training and automated image release pipelines (Python + AWS CDK) to cut release time from 2 weeks to 1. Also built customer migration tooling for SageMaker HyperPod and owned a security incident end-to-end, implementing prevention tests and process improvements.

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Kaushik Sriram - Mid-level Software Engineer specializing in event-driven FinTech backend systems in San Francisco, CA

Mid-level Software Engineer specializing in event-driven FinTech backend systems

San Francisco, CA5y exp
StripeUniversity of Central Missouri

Senior/Staff-level backend/platform engineer who owned Stripe’s global payout settlement system end-to-end, building an event-driven Python/Kafka platform processing millions of events daily across 30+ countries. Deep experience operating high-reliability distributed systems in production (incidents, replays/backfills, schema evolution, observability) and scaling on AWS/EKS with strong testing and deployment practices.

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SR

Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems

29y exp
Santa Ana BioCarnegie Mellon University

Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.

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UB

Principal Data Scientist specializing in machine learning and generative AI

New York, NY12y exp
AtlassianRutgers University

Atlassian ML/AI engineer who has shipped end-to-end production systems combining classical ML, streaming infrastructure, and LLM-based personalization to improve onboarding and free-to-paid conversion. Particularly strong in turning research-style RAG and reranking ideas into low-latency, reliable product systems with robust evaluation, safety guardrails, and reusable platform services for other teams.

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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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ML

Executive Engineering Leader specializing in cloud-native platforms and global team scaling

28y exp
Rambis TechnologyColumbia University

Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.

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