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Vetted Monitoring Professionals

Pre-screened and vetted.

GD

Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms

Minnetonka, MN9y exp
UnitedHealth GroupPrinceton University
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AH

Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems

Vancouver, WA10y exp
Infinite RedColumbia University
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JF

Entry-Level Software Engineer specializing in full-stack web and gaming platforms

Irvine, CA1y exp
AmazonUC Irvine
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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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DS

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

5y exp
AmazonNortheastern University
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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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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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PD

Senior Software Engineer specializing in AWS distributed systems and developer tools

Santa Clara, California9y exp
Amazon Web ServicesUniversity of Massachusetts
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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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VS

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

Bay Area, CA28y exp
Electronic Arts
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RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.

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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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AR

Ali Rezafard

Screened

Director of Engineering specializing in cybersecurity SaaS platforms and cloud-scale backend systems

San Francisco, CA14y exp
ProofpointUniversity of Waterloo

Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.

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DJ

Dimple Joseph

Screened

Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization

Redwood Shores, CA25y exp
OracleThe University of Texas at Arlington

Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.

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SD

Shiting Ding

Screened

Mid-level Software Engineer specializing in Ads backend and ML infrastructure

Palo Alto, CA3y exp
AmazonUC San Diego

Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.

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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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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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KY

Kenneth Young

Screened

Senior Site Reliability Engineer specializing in production LLM/RAG deployments

Fremont, CA21y exp
FM IndustriesUdacity

Built and operationalized an internal LLM/RAG system for engineering specs—starting with an at-home prototype using real ERP documents, then securing hardware, standing up a GPU/software stack, and deploying through UAT to production. Identified organizational gaps (no shared spec repository) and created a queryable RAG database that reportedly cut document discovery from days/weeks to minutes, while also resolving retrieval issues via improved PDF-aware chunking.

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ZK

Zahaan Khan

Screened

Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms

San Jose, USA6y exp
TikTokUniversity of Waterloo

TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.

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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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KS

Junior Machine Learning Engineer specializing in LLM systems and inference reliability

California, USA1y exp
llm-dUC San Diego

ML/LLM infrastructure-focused engineer who built a production stateful LLM inference service that cuts latency and GPU compute for repeated/overlapping prompts via caching with correctness guardrails. Strong in Kubernetes-based deployment and reliability engineering, using A/B testing and similarity-based evaluation to quantify performance gains without sacrificing output quality.

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