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Vetted AWS Professionals

Pre-screened and vetted.

AWSPythonDockerCI/CDSQLPostgreSQL
EL

Eduardo Lara

Senior Full-Stack Software Engineer specializing in Telehealth and FinTech

Santa Clara, CA11y exp
AmazonUCLA
A/B TestingAgileAmazon ECSAmazon S3AnsibleApache Kafka+267
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TB

Terry Brown

Senior Software Engineer specializing in FinTech payments and scalable platforms

San Francisco, CA10y exp
StripeUniversity of Houston
JavaScriptTypeScriptPythonJavaScalaKotlin+164
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SP

Sharad Pathak

Executive Technology Leader specializing in FinTech and large-scale data platforms

Chicago, IL22y exp
StealthNorthwestern University
C++PythonUnixSQLJiraDevOps+69
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PM

Pankaj Mehndiratta

Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms

San Francisco, CA25y exp
NikeNorthwestern University
Product ManagementGo-to-Market StrategyProgram ManagementVendor ManagementContract NegotiationMicroservices+143
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TC

Thriveen Chinthakuntla

Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services

San Francisco, CA6y exp
OpenAIWebster University
PythonSQLPostgreSQLMySQLData Structures & AlgorithmsGit+107
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AA

Akintomide Akinruli

Senior DevSecOps & Cloud Security Engineer specializing in Kubernetes and CI/CD security

Plano, TX9y exp
Palo Alto NetworksUniversity of Illinois Urbana-Champaign
CI/CDGitHub ActionsJenkinsArgo CDGitOpsTerraform+123
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KK

KEERTHI KOTHA

Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure

San Francisco, CA6y exp
PerplexityStevens Institute of Technology
Machine LearningLarge Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Vector SearchEmbeddings+102
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SS

Srinidhi Sridharan

Director-level Software Development Manager specializing in AWS infrastructure and distributed systems

Seattle, WA7y exp
AmazonArizona State University
Object-Oriented Programming (OOP)Distributed SystemsCoachingRecruitingCross-Functional CollaborationMicroservices+66
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DD

Dylan Davis

Senior Software Engineer specializing in Python and AWS cloud backend systems

Austin, TX8y exp
Royal.ioUSC
PythonAWSBackend DevelopmentMicroservices ArchitectureAWS LambdaAmazon API Gateway+33
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YF

Yuan Fu

Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI

Irvine, CA5y exp
AmazonUniversity of Chicago
A/B TestingAmazon DynamoDBAmazon EC2Amazon S3Amazon SNSAmazon SQS+80
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QG

Quincy Garner

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
PythonDjangoFlaskFastAPIGoRuby+101
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HT

Han Tang

Senior Full-Stack Software Engineer specializing in large-scale streaming platforms

Seattle, WA10y exp
DisneyNYU
ReactReact NativeNext.jsAngularJavaScriptTypeScript+49
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MM

Manika Monga

Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems

San Jose, CA6y exp
ByteDanceUniversity of Florida
AgileApache HiveApache KafkaApache SparkC++Data Modeling+64
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MK

Mani Kishore Kamanaboina

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

4y exp
NVIDIAFlorida State University
A/B TestingApache CassandraApache HadoopApache SparkAWSAWS Glue+88
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BW

Ben Wang

Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems

Seattle, WA10y exp
eBayUniversity of Illinois Urbana-Champaign
PythonJavaScalaSQLBashC+++128
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AO

Adedayo Odugbesan

Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD automation

Oklahoma City, OK9y exp
Dell TechnologiesUC Berkeley
AgileAnsibleAWSAWS CloudFormationAzure DevOpsBash+71
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PV

Prabhu Velu

Director-level Software Development Manager specializing in large-scale cloud platforms

San Jose, California13y exp
Amazon
JavaPythonReactAngularJSNode.jsApache Kafka+59
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SN

Sandeep Natu

Screened ReferencesStrong rec.

Executive Technology Leader (CTO/COO) specializing in Telecom, IT Delivery, and eGovernment platforms

Atlanta, GA19y exp
Contec Global GroupDevi Ahilya Vishwavidyalaya

“Entrepreneurial operator who has started three revenue-generating startups for an employer and is now ready to found independently. Built and scaled a USSD-based lottery product in Nigeria by partnering with MTN, driving 10%+ uplift in gross turnover, and has hands-on experience validating market gaps via SMS/call-center surveys and launching pilots before scaling.”

Project managementVendor managementStakeholder managementRisk managementBudgetingMentoring+123
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SJ

Sumer Joshi

Screened ReferencesStrong rec.

Senior Backend Software Engineer specializing in healthcare platforms and AI/ML tooling

San Francisco, CA10y exp
Juniper NetworksSanta Clara University

“Built a chatbot for a learning management system during a Deep Atlas bootcamp by mapping an end-to-end RAG architecture (document ingestion, Qdrant-based retrieval scoring, and LLM response synthesis). Previously at Rally Health/UnitedHealthcare, diagnosed load-related memory spikes with JMeter and improved stability by migrating caching from Guava to Redis, and also supported adoption through UI A/B testing in a technical marketing engineer rotation.”

AnsibleApache KafkaAWSBashBatch processingCI/CD+111
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MG

Manaswini Gogineni

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp
CiscoUniversity of Wisconsin–Madison

“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”

GoPythonJavaScriptTypeScriptJavaC+++140
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YW

Yuan-Hsuan Wen

Screened

Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems

Taipei, Taiwan3y exp
NVIDIAUSC

“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”

Machine LearningArtificial IntelligenceLangChainTensorFlowPyTorchPython+59
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