Vetted OAuth 2.0 Professionals

Pre-screened and vetted.

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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AA

Senior Cloud Security Engineer specializing in AWS and Azure security architecture

Woodlawn, MD7y exp
Social Security AdministrationTowson University
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RR

Senior Full-Stack .NET Engineer specializing in FinTech payments and event-driven microservices

Dallas, TX13y exp
BestowUniversity of Texas at Austin
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KA

Mid-level Software Developer specializing in full-stack and backend systems

Dallas, TX5y exp
Goldman SachsUniversity of Texas at Dallas
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JB

Mid-Level Backend Software Engineer specializing in distributed systems and observability

Mountain View, CA2y exp
YahooUC Irvine
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AH

Senior Backend Engineer specializing in cloud-native microservices and secure APIs

Texas City, TX11y exp
WalmartUniversity of Texas at Austin
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MN

Senior Software Engineer specializing in Healthcare IT platforms

Lawrenceville, GA11y exp
One MedicalTufts University
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RG

Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs

5y exp
WalmartUniversity of Texas at Arlington
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SP

Mid-level Full-Stack Software Engineer specializing in FinTech

Dallas, TX5y exp
Goldman SachsUniversity of Utah
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AA

Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI

Northbrook, IL16y exp
CVS HealthUniversity of Illinois Chicago
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RD

Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps

USA, USA4y exp
Scale AIUniversity of Texas at Arlington
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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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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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SS

Mid-Level Full-Stack Software Engineer specializing in API-first microservices and cloud platforms

Arlington, TX4y exp
University of Texas at ArlingtonUniversity of Texas at Arlington

Backend-focused engineer who built a resume processing and job application platform using Python/MongoDB/Streamlit, including OpenAI-powered skill/keyword extraction and recruiter-facing search/filtering. Has hands-on cloud deployment experience on AWS/Azure and executed an on-prem reservation portal migration to Azure using a phased trial-and-cutover approach; also automated CI/CD with Jenkins and GitHub Actions.

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OB

Omkar Bhope

Screened

Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation

San Jose, CA5y exp
Etched AIUC San Diego

Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.

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SB

Silpa Bhavani

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Oakland, CA5y exp
BlockLamar University

Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.

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NP

Navya Panyala

Screened

Senior Software Engineer specializing in identity, cloud-native microservices, and reactive web apps

Bentonville, AR6y exp
WalmartUniversity at Albany

Product-focused full-stack engineer with Walmart and Dell experience who built and shipped a real-time engagement dashboard end-to-end (Kafka Streams, Spring Boot, React/TypeScript/D3) used daily by business teams, moving them from next-day reports to real-time decisioning. Strong in performance/reliability (Redis caching cut latency ~40%, 90%+ test coverage, Prometheus/CloudWatch monitoring) and production operations on AWS/EKS including handling a cascading failure from a memory leak with zero-downtime rollback and redeploy.

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

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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Jahnavi Bellapukonda - Mid-Level Software Engineer specializing in full-stack web and cloud systems in Remote, USA

Mid-Level Software Engineer specializing in full-stack web and cloud systems

Remote, USA3y exp
AdobeTexas Tech University

Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.

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Mounika Gunturu - Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms in New York, NY

Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms

New York, NY9y exp
Oliver WymanNarayanamma Institute of Technology and Science

Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.

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Vidhi Chhatbar - Mid-level Full-Stack Engineer specializing in cloud microservices and FinTech in Los Angeles, CA

Mid-level Full-Stack Engineer specializing in cloud microservices and FinTech

Los Angeles, CA5y exp
AIGUSC

Software engineer with experience across enterprise (AIG, MSCI) and an early-stage startup (Job Map), owning production systems end-to-end. Built secure insurance microservices on Spring Boot with JWT/RBAC and AWS-based CI/CD/observability, plus Kafka streaming pipelines for financial data. Also shipped a GenAI personalization MVP using FastAPI and LLM APIs in a high-ambiguity startup environment.

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