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Vetted Amazon DynamoDB Professionals

Pre-screened and vetted.

AS

Ashi Sinha

Screened

Junior Software Engineer specializing in full-stack and ML/NLP systems

New York City, NY2y exp
IBMUniversity of Massachusetts Amherst

Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.

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SC

Senior Cloud Infrastructure Architect specializing in multi-cloud, DevOps, and AI/ML platforms

San Francisco, California25y exp
AmazonAmerican River College

Engineering leader (Director of Development) with hands-on cloud and product experience who builds business-aligned technology roadmaps and scales teams. Delivered an enterprise cloud-migration enabler at UHG by implementing AD authentication and Terraform-based IaC for custom VM images while meeting 90-day InfoSec patch/rotation requirements, and drove a 20% lift in user consumption/retention by designing an interactive branded media portal experience for Sunkist.

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VR

Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms

Boulder, CO2y exp
LenovoUniversity of Colorado Boulder

Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.

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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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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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BS

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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RR

Director-level Engineering Leader specializing in SaaS, Cloud Migration, and Cybersecurity

Santa clara, CA8y exp
CiscoTexas Tech University

Senior engineering leader with experience at Cisco, Amazon, and startup Shopkick, operating at high scale (e.g., Secure Web Gateway handling ~40M QPS). Known for measurable impact across reliability and cost (85% efficacy improvement; Datadog spend cut from ~$500k/month to ~$15k/month) and for leading complex platform modernization (1-year monolith-to-microservices/event-driven migration with zero customer impact) plus compatibility-focused API design that cut device onboarding from a month to a day.

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AC

Senior Data Scientist specializing in machine learning, NLP, and MLOps

Dallas, TX8y exp
AstroSirensUniversity of Houston

ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.

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SM

Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection

CA, USA6y exp
AppleUSC

ML/robotics engineer with Apple experience who built a computer-vision-driven industrial defect detection system integrating a robotic arm with ROS-based real-time inference on an edge GPU. Drove major performance gains (cut inference time ~60% via quantization + TensorRT) and improved robustness to lighting/material variation, with strong emphasis on production reliability (health checks, watchdogs, observability, CI/CD) and interest in shaping early-stage startup engineering culture.

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PH

Peifeng Hu

Screened

Junior Software Development Engineer specializing in AWS distributed systems and data orchestration

Seattle, WA3y exp
AmazonUSC

Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.

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JK

Mid-level Software Development Engineer specializing in cloud databases and distributed systems

Bay Area, CA5y exp
AmazonSan José State University
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PK

Mid-Level Software Engineer specializing in Android and experimentation

Menlo Park, CA3y exp
MetaSanta Clara University
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KS

Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS

Seattle, WA7y exp
BrandhubifyUSC
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TF

Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML

Austin, TX11y exp
Amazon Web ServicesCollege of Charleston
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SP

Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms

San Jose, CA25y exp
Capital OneUC Berkeley
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BH

Mid-level Software Development Engineer specializing in AWS cloud and full-stack systems

Irvine, CA4y exp
AmazonUC San Diego
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GW

Intern Software Engineer specializing in distributed systems and cloud infrastructure

Seattle, WA2y exp
AmazonCarnegie Mellon University
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W(

Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML

Monroe, WA8y exp
MicrosoftUniversity of Washington
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GP

Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI

Foster City, CA21y exp
Perthera AIIIT Kharagpur
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RL

Senior Python Developer specializing in cloud-native backend systems

Sussex, NJ10y exp
AmazonCal State Long Beach
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CO

Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems

Remote16y exp
Amazon Web ServicesDePaul University
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SV

Mid-Level Software Engineer specializing in FinTech payments and risk platforms

CA, USA6y exp
StripeUniversity of Memphis
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AF

Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration

San Francisco, CA14y exp
NotionStony Brook University
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