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Vetted Amazon CloudWatch Professionals

Pre-screened and vetted.

EW

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

Sunnyvale, CA1y exp
AmazonUSC
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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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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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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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DZ

Senior Backend Engineer specializing in Healthcare & Cloud Platforms

New York, NY11y exp
DeloitteColumbia University
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VG

Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation

USA5y exp
AmazonNYU
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JS

Senior Data Engineer specializing in cloud data platforms and real-time analytics

Remote10y exp
Scout MotorsUniversity of Texas at Austin
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DN

Senior Backend Software Engineer specializing in AWS serverless and data pipelines

San Jose, CA11y exp
UpworkUC Santa Cruz
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EP

Senior Backend Engineer specializing in Python and cloud data platforms

Santa Clara, CA8y exp
RulaSanta Clara University
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VN

Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines

CA, USA6y exp
StripeSoutheast Missouri State University
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PK

Junior Software Development Engineer specializing in IoT, robotics, and machine learning

Sunnyvale, CA2y exp
AmazonGeorgia Tech
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AA

Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms

New York, NY12y exp
Komodo HealthLewis University
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VS

Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE

Bay Area, CA28y exp
Electronic Arts
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VB

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp
Goldman SachsBrigham Young University

Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.

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AC

Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision

Teaneck, NJ10y exp
AetrexColumbia University

Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.

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YS

Yashvi Shah

Screened

Mid-Level Software Engineer specializing in distributed systems and cloud platforms

Sunnyvale, CA3y exp
AmazonUSC

Amazon Alexa engineer who architected and shipped a GenAI Knowledge Agent used by 2M+ customers, focused on making LLM outputs auditable via citations and a verification layer that prevents hallucinations. Built the full vertical slice (FastAPI/LangChain backend + React/TypeScript streaming UI) while keeping p99 latency under 200ms, and has proven incident response experience on AWS (Lambda/DynamoDB scaling issues).

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JP

Engineering Manager specializing in MLOps/DevOps and CI/CD for deep learning platforms

Santa Clara, CA14y exp
AmazonUniversity of Texas at Arlington

Player-coach engineering leader focused on AWS ML infrastructure and deep learning image delivery: provisioned EKS/Kubernetes for multi-node training and automated image release pipelines (Python + AWS CDK) to cut release time from 2 weeks to 1. Also built customer migration tooling for SageMaker HyperPod and owned a security incident end-to-end, implementing prevention tests and process improvements.

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KS

Mid-Level Software Engineer specializing in event-driven FinTech backend systems

San Francisco, CA5y exp
StripeUniversity of Central Missouri

Backend/data-platform engineer with Stripe and Salesforce experience focused on global payouts/treasury systems. Built an end-to-end payout settlement monitoring platform (FastAPI microservices, Kafka/Spark streaming, React dashboard, CloudWatch alerting) that cut settlement delays 25% and reconciliation time 30%, and productionized an ML anomaly detection service that reduced missed issues by 30%. Experienced modernizing monoliths into microservices with feature flags/canaries and close partnership with treasury/risk/CTO stakeholders.

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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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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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