Vetted Amazon ECS Professionals

Pre-screened and vetted.

QL

Qianfan Luo

Screened

Junior Software Engineer specializing in backend systems and AI/ML pipelines

San Francisco, CA2y exp
Persona IdentitiesCarnegie Mellon University

Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).

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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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Nikhil Reddy - Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms in San Francisco, CA

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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UDAY JARAJAPU - Executive engineering leader specializing in AI-native products and large-scale platforms in Fremont, CA

UDAY JARAJAPU

Screened

Executive engineering leader specializing in AI-native products and large-scale platforms

Fremont, CA22y exp
Typerighter.AIUniversity of Toledo

Experienced cross-functional operator with background in AI, edtech, consumer mobile, cloud, and real estate search, including roles at Apple, AWS, and Trulia. Currently building Typerighter, an AI-native writing workspace focused on compliance, authenticity, and human-verifiable content, with a nuanced understanding of institutional requirements and startup/accelerator dynamics.

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SG

Sai Gundeti

Screened

Mid-Level Backend Software Engineer specializing in distributed systems and billing platforms

San Francisco, California5y exp
UberUniversity of Cincinnati

Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.

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Aniket Singhal - Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms in Seattle, WA

Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms

Seattle, WA8y exp
AmazonBirla Institute of Technology, Mesra

Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.

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kartik kanotra - Mid-level Software Developer specializing in cloud data engineering and MLOps in NYC, New York

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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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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SV

Senior Full-Stack Engineer specializing in Next.js, React, and TypeScript

Dallas, TX11y exp
WalmartKent State University
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Rahul Chilukuri - Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech in Tampa, FL

Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech

Tampa, FL5y exp
IBMSaint Leo University
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ZZ

Senior AI/ML Engineer specializing in Generative AI and NLP systems

McLean, VA9y exp
Capital OneUniversity of Pennsylvania
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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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SB

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

Austin, TX10y exp
SamsungUniversity of New Mexico
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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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EW

Entry-Level Software Development Engineer specializing in AWS serverless and distributed systems

Sunnyvale, CA1y exp
AmazonUSC
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MC

Senior Software Engineer specializing in scalable backend systems and full-stack web apps

Austin, TX11y exp
IndeedCarnegie Mellon University
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GD

Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms

Minnetonka, MN9y exp
UnitedHealth GroupPrinceton University
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HP

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems

Santa Clara, CA4y exp
NVIDIAConcordia University Wisconsin
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DS

Mid-level Software Engineer specializing in AWS backend systems and LLM infrastructure

5y exp
AmazonNortheastern University
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SD

Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG

Austin, TX5y exp
Tempus AILamar University
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GR

Senior Full-Stack Engineer specializing in scalable cloud platforms

Wayne, MI14y exp
AflacUniversity of Rhode Island
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