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Vetted CI/CD Professionals

Pre-screened and vetted.

MJ

Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms

Mountain View, CA9y exp
AirtableCaltech
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TM

Senior Python Developer specializing in FinTech and RegTech payment systems

San Francisco, CA10y exp
StripePrinceton University
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JW

Senior Software Engineer specializing in AI systems and real-time distributed platforms

San Diego, CA10y exp
AirbnbCornell University
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MP

Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data

Berkeley, CA12y exp
GoogleColgate University
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SG

Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference

Bay Area, CA3y exp
OpenAICarnegie Mellon University
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AS

Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems

AZ, United States16y exp
Tempus AIUniversity of Washington
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RJ

Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems

Atlanta, GA11y exp
GoogleUniversity of Miami

Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.

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YP

Staff Software Engineer specializing in AI platforms and cloud microservices

Remote11y exp
GoogleCal Poly San Luis Obispo
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JS

Executive Digital & Technology Leader specializing in enterprise transformation, IoT, and e-commerce

Palm Beach Gardens, FL17y exp
CarrierHarvard University
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EF

Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech

San Francisco, CA11y exp
MetaCarnegie Mellon University
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BM

Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps

Greater Seattle Area, WA9y exp
Orby AIGeorgia Tech
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PC

Senior Software Engineer specializing in AI infrastructure and distributed systems

Austin, TX11y exp
NVIDIAStony Brook University
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LD

Senior Software Engineer specializing in full-stack systems and ML-driven platforms

Manvel, TX11y exp
NetflixUniversity of Texas at Austin
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JJ

Senior Data Engineer specializing in cloud data platforms and real-time streaming

Cape May, NJ13y exp
AmazonNJIT
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AC

Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms

Santa Monica, CA13y exp
TikTokUC Berkeley
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CT

Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines

Remote10y exp
GoogleColgate University
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RW

Senior Full-Stack Software Engineer specializing in SaaS, FinTech, and Web3

La Verne, CA8y exp
SlackUC Berkeley
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NT

Nathan Telles

Screened

Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services

Sunnyvale, CA13y exp
MetaUC Davis

Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).

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UM

Upender Mula

Screened

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

San Francisco, CA5y exp
StripeSaint Louis University

Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.

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AC

Andrew Coven

Screened

Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms

Los Gatos, CA38y exp
OutputSanta Clara University

Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.

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SS

SHIVA SANDY

Screened

Executive CTO/CIO specializing in FinTech, cloud transformation, and cybersecurity

Walnut Creek, CA27y exp
PCBBMIT

Banking/credit-union technology executive (CTO/CTIO) who has led modernization and product delivery through major change, including a post-merger roadmap that helped grow a credit union from $600M to $1.5B in 3 years. Hands-on leader who drove cloud microservices/API architecture, introduced CI/CD, and accelerated releases from quarterly to weekly while scaling teams and operating effectively with distributed/remote orgs.

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GA

Entry-Level Software Engineer specializing in AWS cloud infrastructure and distributed systems

Arlington, VA1y exp
Amazon Web ServicesCaltech

Robotics software engineer with hands-on ROS 2 experience who helped build an autonomous 5-DOF robotic arm that plays Backgammon, owning perception (OpenCV) and game-logic while adding robustness features like lighting tolerance and auto-calibration. Also worked on a Raspberry Pi/LiDAR car project, improving mapping accuracy through data-logged calibration and contributing to multi-robot collision-avoidance coordination via a server-based pub/sub system.

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SB

Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI

4y exp
OpenAIFlorida State University

Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).

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