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Vetted AWS IAM Professionals

Pre-screened and vetted.

LM

Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms

Toronto, Canada13y exp
GreenshieldCarleton University
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DW

Staff Full-Stack Engineer specializing in data engineering and real-time event platforms

Houston, TX10y exp
SalesforceMonash University
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MP

Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs

San Jose, CA10y exp
AmazonUniversity of Texas at Austin
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MP

Senior Software Engineer specializing in healthcare imaging and FinTech systems

San Jose, CA10y exp
AmazonUniversity of Texas at Austin
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IN

Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems

Houston, TX14y exp
AtlassianUniversity of Houston
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EL

Senior Full-Stack Software Engineer specializing in Telehealth and FinTech

Santa Clara, CA11y exp
AmazonUCLA
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KC

Staff Software Engineer specializing in Healthcare SaaS and real-time systems

Seattle, WA11y exp
AmazonMonash University
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YF

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

Irvine, CA5y exp
AmazonUniversity of Chicago
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QG

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
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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.

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MS

Mitul Sheth

Screened

Senior Engineering Manager specializing in cloud security and graph-based data platforms

Seattle, WA9y exp
SysdigCampbellsville University

Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.

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HL

Hung-Chih Liu

Screened

Mid-level Distributed Systems & AI Infrastructure Engineer

Sunnyvale, CA3y exp
AmazonUCLA

Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.

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NR

Nikhil Reddy

Screened

Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms

San Francisco, CA5y exp
NVIDIASaint Louis University

Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.

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KR

Krishna Reddy

Screened

Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants

New York, NY6y exp
StripeIndiana Wesleyan University

Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.

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KK

Mid-level Software Developer specializing in cloud data engineering and MLOps

NYC, New York3y exp
AmazonNYU

Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.

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DS

Entry Software Engineer specializing in AI infrastructure and ML inference systems

Seattle, WA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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YL

Mid-Level Software Engineer specializing in AWS cloud-native distributed systems

Arlington, VA3y exp
AmazonNYU
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RG

Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems

San Francisco, CA5y exp
NVIDIAArizona State University
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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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RR

Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms

6y exp
JPMorgan ChaseSoutheast Missouri State University
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EC

Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure

San Francisco, CA12y exp
GustoCal Poly Pomona
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SU

Mid-level Full-Stack Developer specializing in React, Spring Boot, and AWS

6y exp
AmazonUniversity of North Texas
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