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Vetted Unit Testing Professionals

Pre-screened and vetted.

AP

Mid-level Full-Stack Developer specializing in AWS, Python/FastAPI, and React

USA7y exp
StripeAuburn University at Montgomery
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MP

Mid-level Software Engineer specializing in cloud-native microservices and ML-driven automation

California, USA5y exp
ServiceNowCalifornia State University, Long Beach
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KN

Junior Software Engineer specializing in full-stack development and computer vision

Remote1y exp
EinNel TechnologiesUniversity of Michigan
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SP

Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics

USA4y exp
JPMorgan ChaseFlorida International University
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SZ

Intern Software Engineer specializing in systems, networking, and GPU computing

Santa Clara, CA2y exp
Arista NetworksUSC
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EX

Junior Backend Engineer specializing in cloud-native systems and observability

Sunnyvale, CA2y exp
WalmartNYU
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SK

Senior Software Engineer specializing in React, Python, and scalable web platforms

Remote, CA13y exp
AsanaTemple University
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SG

Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)

5y exp
PNCPace University
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YY

Mid-level Software Engineer specializing in automotive embedded systems and robotics AI

New Hudson, MI3y exp
ToyotaGeorgia Tech
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AA

Senior Cloud Security Engineer specializing in AWS and Azure security architecture

Woodlawn, MD7y exp
Social Security AdministrationTowson University
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DD

Senior Python Backend Engineer specializing in Django, APIs, and AI automation

Mountain View, CA10y exp
IntuitTexas State University
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RM

Mid-level Software Engineer specializing in Unity game development and graphics engineering

Bucharest, Romania6y exp
Moon Active
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HD

Harbir Dhillon

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in distributed systems and cloud-based full-stack development

Stockton, CA3y exp
California Health Care FacilityVanderbilt University

Software engineering candidate who built a compiler-like Python tool to translate between Python code and UML-style diagrams (and back). Also has hands-on AWS experience building a distributed pub/sub system using services like Lambda, API Gateway, ELB, WAF, VPC, and DynamoDB, plus ML projects using Kaggle datasets (e.g., diabetes risk analysis).

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VE

Vaughn Eugenio

Screened ReferencesModerate rec.

Mid-Level Software Engineer specializing in distributed microservices and real-time systems

2y exp
DraftKingsUniversity of South Carolina

Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).

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NK

NEHA KOLAN

Screened

Mid-Level Software Engineer specializing in microservices and cloud data pipelines

Texas, USA4y exp
CignaUniversity of North Texas

Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.

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HG

Mid-Level Software Engineer specializing in AI/LLM systems and Azure backend platforms

4y exp
DeloitteUniversity of Washington

LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.

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SS

Saffinah Shi

Screened

Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems

Los Angeles, US2y exp
CoreSpeedNorthwestern University

SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.

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YL

Yu-Chun Lin

Screened

Intern Software Engineer specializing in C++/Python systems and automation

Fremont, California1y exp
CoherentUC Irvine

Software engineer with experience delivering customer-facing solutions across consulting and engineering contexts (Deloitte, Coherent), including a finance reconciliation system and a firmware validation tool integrated into existing test infrastructure. Demonstrates strong on-site/customer collaboration, rapid iteration, and high-pressure debugging (CARLA demo fix), with measurable impact and a focus on adoption through familiar workflows and clear documentation.

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MG

Mid-Level Software Engineer specializing in Java microservices and cloud-native systems

USA4y exp
CitigroupArizona State University

Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.

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SS

Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI

New York, NY10y exp
East West BankJawaharlal Nehru Technological University

Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).

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CC

Caden Cheah

Screened

Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development

Los Angeles, CA1y exp
IlloominateUC Berkeley

Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.

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SS

Intern Software Engineer specializing in LLM agents and full-stack development

Seattle, USA1y exp
Unwind AIUSC

Embedded C++ engineer with Bosch automotive infotainment experience, owning real-time audio middleware modules with strict latency/memory constraints. Strong in profiling/optimizing deterministic behavior, debugging hardware-specific intermittent issues, and building automated test + CI pipelines; currently ramping up on ROS2 concepts (DDS, nodes/topics/services) to transition toward robotics.

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