Vetted Amazon RDS Professionals

Pre-screened and vetted.

PV

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

San Jose, California13y exp
Amazon
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KD

Kanaad Deshpande

Screened ReferencesStrong rec.

Intern Software Engineer specializing in distributed systems and cloud infrastructure

San Francisco, CA1y exp
Sigma ComputingUC San Diego

Built and operated a production warehouse metadata collection platform at Sigma Computing, integrating Go/gRPC services with a TypeScript backend and MySQL, with strong emphasis on idempotency, retries, bounded-concurrency job queues, and Datadog-based observability. Also created Kurral (kurral.com), an AI agent runtime security and observability/governance SDK/proxy concept, iterating via pilot-customer feedback and market research; targeting founding engineer roles with $180–200k base and ~2–5% equity.

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Manaswini Gogineni - Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development in San Francisco, CA

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.

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Shuvam Mitra - Mid-level Data Scientist specializing in anomaly detection and production ML in Pittsburgh, PA

Shuvam Mitra

Screened

Mid-level Data Scientist specializing in anomaly detection and production ML

Pittsburgh, PA4y exp
HondaCarnegie Mellon University

Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).

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Kunj Amrutbhai Patel - Mid-level Software Engineer specializing in distributed backend systems on AWS in Seattle, WA

Mid-level Software Engineer specializing in distributed backend systems on AWS

Seattle, WA4y exp
AmazonTrine University

Built production systems in the AWS ecosystem, including an internal AI assistant for diagnosing account transfer and permissions issues and an end-to-end account transfer workflow used by enterprise customers. Stands out for combining LLM/RAG design with strong distributed systems reliability practices, emphasizing guardrails, fallbacks, and operational trust in high-stakes workflows.

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AH

Anna Huang

Screened

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

6y exp
IntelUC Santa Cruz

Software engineer at Intel who owns a production Go/Kubernetes backend for supply-chain transparency and end-to-end hardware integrity verification in a hybrid cloud setup (AWS control plane + Azure data plane). Also built and shipped an AI agent workflow for real-estate due diligence that turns raw Excel spreadsheets into structured investment outputs and auto-generated PowerPoint insights using LangGraph, with strong emphasis on verification, observability, and reliability guardrails.

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Michael Kaufman - Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms in Seattle, WA

Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms

Seattle, WA5y exp
AmazonUC San Diego

iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.

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Jim Glassman - Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms in Houston, TX

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp
IBMOhio State University

Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.

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AA

Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices

NY, USA6y exp
Google DeepMindUniversity of Saint Francis
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MS

Mid-level Software Development Engineer specializing in cloud platforms, data engineering, and LLM apps

Dublin, Ireland3y exp
AmazonGuru Gobind Singh Indraprastha University
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Sai Sravanth Segu - Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs in Plano, TX

Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs

Plano, TX5y exp
MetaUniversity of Texas at Arlington
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RB

Senior AI/ML Engineer specializing in scalable cloud ML systems

Seattle, WA14y exp
BCGPortland State University
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BhanuPrasad Pothagani - Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems in Bay Area, CA

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
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HL

Junior Software Development Engineer specializing in AWS cloud services and SDN

Sunnyvale, CA2y exp
AmazonUCLA
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Yu Li - Mid-Level Software Development Engineer specializing in cloud microservices and retail systems in Reston, VA

Mid-Level Software Development Engineer specializing in cloud microservices and retail systems

Reston, VA5y exp
WalmartUniversity of Colorado Boulder
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Aarvin George - Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems in Pittsburgh, PA

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems

Pittsburgh, PA3y exp
Allegheny General HospitalCarnegie Mellon University
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SB

Senior Full-Stack Engineer specializing in cloud-native .NET microservices

Austin, TX10y exp
SamsungUniversity of New Mexico
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LG

Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML

Bellaire, OH8y exp
AmazonOhio University
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RK

Senior Backend Engineer specializing in scalable AWS serverless and data pipelines

Sunnyvale, CA9y exp
AmazonUniversity of Oregon
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SL

Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices

Remote14y exp
CitigroupUniversity of Pennsylvania
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RP

Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting

KS, United States12y exp
TargetKansas State University
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