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Vetted SQL Professionals

Pre-screened and vetted.

SQLPythonDockerCI/CDAWSGit
MP

Michael Pham

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

Berkeley, CA12y exp
GoogleColgate University
A/B TestingAgileAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon Kinesis+117
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CN

Corey Noone

Staff Data Scientist specializing in machine learning, deep learning, and big data

Mountain View, CA15y exp
WaymoMIT
PythonRSQLJavaScalaMATLAB+80
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SG

Sourabh G

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

Bay Area, CA3y exp
OpenAICarnegie Mellon University
A/B TestingAgileApache HiveApache KafkaApache SparkArgo CD+160
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ML

Morgan Lo

Junior Software Engineer specializing in AI/ML and recommendation systems

Menlo Park, CA1y exp
MetaBrown University
PythonJavaCSQLJavaScriptHTML+48
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AS

Arpita Saha

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

AZ, United States16y exp
Tempus AIUniversity of Washington
Machine LearningDeep LearningComputer VisionRecommender SystemsGenerative AIReinforcement Learning+81
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RJ

Richard Jackson

Screened

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.”

API DesignApache HadoopApache KafkaApache SparkAWSBackend Development+76
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YP

Yang Pan

Staff Software Engineer specializing in AI platforms and cloud microservices

Remote11y exp
GoogleCal Poly San Luis Obispo
A/B TestingAgileAmazon KinesisAmazon RedshiftAngularAPI Development+95
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EF

Eric Fan

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

San Francisco, CA11y exp
MetaCarnegie Mellon University
TypeScriptNode.jsPythonJavaSQLReact+64
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BM

Bhavishya Mittal

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

Greater Seattle Area, WA9y exp
Orby AIGeorgia Tech
PythonJavaC++TypeScriptC#SQL+97
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JM

Jaidev Mirchandani

Mid-Level Software Engineer specializing in Search, Ads, and Shopping systems

New York, NY4y exp
GoogleSanta Clara University
JavaPythonSQLCC++MATLAB+38
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PC

Phong Cao

Senior Software Engineer specializing in AI infrastructure and distributed systems

Austin, TX11y exp
NVIDIAStony Brook University
Audit LoggingAWSAWS IAMBigQueryCI/CDCUDA+147
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JJ

John Jefferson

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

Cape May, NJ13y exp
AmazonNJIT
PythonSQLScalaJavaBashShell Scripting+105
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DZ

Di Zhai

Senior Backend Software Engineer specializing in cloud platforms and event-driven systems

Sunnyvale, CA9y exp
GoogleDartmouth College
PythonGoJavaJavaScriptTypeScriptSQL+59
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CT

Chris Tran

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

Remote10y exp
GoogleColgate University
JavaPythonJavaScriptTypeScriptGoC#+142
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RW

Ryan Wang

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

La Verne, CA8y exp
SlackUC Berkeley
ReactTypeScriptJavaScriptNode.jsGoPython+46
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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%+.”

AgileAndroidAsanaAWSBashBitbucket+134
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EP

Esha Pahwa

Screened

Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning

Mountain View, CA2y exp
Corvic AICarnegie Mellon University

“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”

Machine LearningDeep LearningLarge Language Models (LLMs)LLM Fine-tuningRetrieval-Augmented Generation (RAG)HTML+90
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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.”

AWSMicrosoft AzureKubernetesDockerDevOpsMicroservices+93
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SG

Summer Guo

Screened

Executive Venture Capital Investor specializing in AI, robotics, and energy infrastructure

Palo Alto, CA12y exp
SV Tech VenturesWharton School

“Clean energy founder (Ishan "Summer") who built an energy storage/battery materials venture in 2022 focused on data centers and factories, raising $10M split between venture capital and government funding. Demonstrates end-to-end venture execution: multi-year market observation, team formation, customer/market validation, research collaboration, prototyping, and channel-partner-led go-to-market.”

BudgetingBusiness DevelopmentChatGPTCloud ComputingComplianceData Visualization+78
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JC

Jeffrey Chan

Screened

Director-level Engineering Manager specializing in simulation, graphics, and real-time 3D

San Francisco, CA16y exp
CruiseStanford University

“Hands-on engineering leader with early-stage startup experience who balances coding with executive alignment and delegation. Has delivered offline-capable SaaS mobile demos under tight timelines, built monetization-ready mobile architectures (dynamic cloud assets + in-app purchases), and increased product velocity via component-based game architecture plus stakeholder self-serve tooling.”

A/B TestingApache TomcatCC#C++Caching+94
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GA

Gabriel Aguiar

Screened

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.”

A/B TestingAmazon DynamoDBAWS LambdaBashCI/CDC+85
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SB

Sudheer Bommichetty

Screened

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).”

PythonRJavaScalaC++Bash+143
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PN

Pradeep Nadella

Screened

Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling

St. Louis, MO6y exp
AnthropicSaint Louis University

“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”

A/B TestingAgileAmazon S3Anomaly DetectionApache SparkBash+167
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DB

Daniel Bilotti

Executive Operations & Product Leader specializing in AI and Legal Tech

Salt Lake City, UT12y exp
FilevineWharton School
Business intelligenceCustomer serviceOperations managementProduct managementSQLTeam leadership+34
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