Vetted Software Development Engineers

Pre-screened and vetted.

KG

Mid-level Full-Stack Java Developer specializing in microservices and cloud deployments

Miami, FL4y exp
InswitchUniversity of Illinois Springfield
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ZL

Mid-level Machine Learning Researcher specializing in multimodal deep learning and digital pathology

Bethesda, MD7y exp
National Cancer InstituteNew Mexico Tech
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SA

Mid-level Machine Learning Engineer specializing in GenAI and RAG systems

Indianapolis, IN2y exp
Behr Integrations LLCPurdue University
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HN

Mid-level Robotics & Distributed Systems Software Engineer

Chicago, IL3y exp
Electronic Visualization LaboratoryUniversity of Illinois Chicago
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SK

Mid-Level Full-Stack Software Developer specializing in FinTech and credit risk platforms

Texas, USA4y exp
Capital OneSouthern University at New Orleans
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SR

Mid-level Full-Stack Software Engineer specializing in distributed systems and FinTech

United States5y exp
MastercardSacred Heart University
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NG

Mid-level Software Development Engineer specializing in cloud-native microservices on AWS

Fort Collins, Colorado5y exp
Sam's ClubColorado State University
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JP

Mid-level Backend Engineer specializing in Java microservices and cloud data platforms

5y exp
CVS HealthUniversity of Central Missouri
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SV

Mid-level Software Development Engineer specializing in backend systems and data pipelines

5y exp
CignaUniversity of Texas at Arlington
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SV

Mid-level Software Engineer specializing in full-stack, cloud, and AI systems

Bloomington, IN4y exp
Indiana UniversityIndiana University
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SA

Mid-Level Python Full-Stack Engineer specializing in Financial Services

SF Bay Area, CA4y exp
Northern TrustGeorge Mason University

Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.

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GP

Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems

USA6y exp
State StreetCalifornia State University
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AV

Mid-level Full-Stack AI Engineer specializing in agentic LLM platforms

Dallas, TX6y exp
InfoLabs Inc.University of Texas at Dallas
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SJ

Mid-level Full-Stack Software Engineer specializing in GenAI and SaaS platforms

Harrison, NJ5y exp
MetLifeStevens Institute of Technology
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MS

Mid-level Java/Full-Stack Software Engineer specializing in Healthcare and Insurance systems

California, United States5y exp
HumanaNorthwest Missouri State University

Full-stack engineer in the healthcare domain (Humana) who owned an end-to-end member portal for benefits/claims/appointments, built with React and Spring Boot microservices on AWS. Notably migrated legacy batch data flows to a Kafka streaming pipeline and tuned consumers/partitions/backpressure to improve real-time consistency and achieve ~12% processing performance gains.

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RD

Mid-Level Software Development Engineer specializing in Java microservices and cloud DevOps

United States5y exp
AllstateCalifornia State University, Fullerton

Graduate project contributor/maintainer in the open-source JavaScript ecosystem who built “Intersect,” a blockchain-based certification verification platform. Developed a front-end component library integrating QR generation/scanning and Ethereum smart contract interactions, and improved real-world QR scan reliability across devices via custom image preprocessing and performance profiling-driven React optimizations.

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AB

Abhishek Basu

Screened

Junior Backend Software Engineer specializing in cloud and AI systems

Chicago, IL2y exp
Carpl.aiUniversity of Illinois Chicago

Built and shipped LLM-enabled decision systems focused on real production reliability rather than chatbot demos, including a multimodal radiology retrieval platform with 28% relevance gains and 35% lower latency. Also architected a 4-agent employee analytics workflow with structured outputs, traceable orchestration, and strong safeguards for messy real-world data.

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