Vetted OAuth 2.0 Professionals

Pre-screened and vetted.

NP

Nency Patel

Screened ReferencesModerate rec.

Intern Backend Software Engineer specializing in AI and distributed systems

California, USA1y exp
BravenRutgers University

Built and owned an enterprise AI document-processing deployment at an automotive tech startup, taking it from discovery to stabilization. Strong in production LLM/RAG systems and backend reliability, with measurable impact including 8,000+ documents processed monthly and turnaround time reduced from nearly 24 hours to about 3 hours.

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MP

Mrunal Patil

Screened

Mid-Level Software Engineer specializing in FinTech microservices

Remote, USA3y exp
StartEngineGeorge Mason University

Backend engineer with experience in fraud reporting and billing systems, building Java/Spring Boot services behind a React frontend and improving performance 40%+ with caching and SQL optimization while maintaining 99.9% uptime. Has hands-on experience migrating a monolith to microservices with incremental rollout, clear data ownership boundaries, and production-grade API reliability/security practices (JWT/OAuth, RBAC, row-level scoping).

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WH

Senior Full-Stack Software Engineer specializing in AI-driven SaaS and cloud platforms

Miami, FL13y exp
GoitriseHoly Names University

Backend/data engineer focused on production-grade Python services and AWS platforms: builds FastAPI microservices on EKS with strong reliability patterns, CI/CD, and observability. Also delivers AWS Glue/Redshift analytics pipelines with schema-evolution and data-quality safeguards, and has modernized legacy batch processing into maintainable services with parallel-run parity validation and feature-flagged rollouts.

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LM

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices

Seattle, WA4y exp
SiemensUniversity of North Texas

Backend engineer with experience in both healthcare (Siemens) and payments (Bitwise), focused on scaling Python APIs and modernizing architectures. Has led monolith-to-microservices migrations and introduced Kafka async processing, Redis caching, and ELK observability, citing ~40% faster issue resolution and improved reliability via idempotency and strong security controls (OAuth2/JWT, RBAC, RLS).

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MR

Manish Reddy

Screened

Mid-level Backend Engineer specializing in distributed microservices and event-driven systems

Los Angeles, CA3y exp
Kore.aiCal State San Bernardino

Software engineer (Yellow.ai) who built and productionized an AI-driven resume tailoring system using embeddings + Chroma RAG + QLoRA fine-tuning, deployed via Docker/Kubernetes with CI/CD on a CPU-only Oracle VM. Demonstrates strong reliability/evaluation rigor (custom hallucination/coverage/relevance metrics) and measurable business impact, including a 60% user satisfaction lift from improving chatbot intent accuracy with product and support teams.

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VN

Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices

Burke, VA4y exp
SS&C TechnologiesUniversity of Dayton

Customer-facing software engineer who rapidly turns business requirements into Figma prototypes and PoC applications, using workflow prioritization and frequent client reviews to stay aligned. Has hands-on experience integrating with existing authentication/user APIs, building MongoDB-backed caching, and implementing robust fallback/retry mechanisms. Comfortable working on-site with customers and resolving production issues in AWS (e.g., DNS/EC2 traffic routing) in collaboration with DevOps.

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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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UP

Ugender Peddi

Screened

Mid-level Full-Stack Developer specializing in healthcare cloud applications

USA4y exp
HCA HealthcareMissouri University of Science and Technology

Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.

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OC

Mid-level Full-Stack Developer specializing in Python/Java and cloud-native web apps

Texas, USA4y exp
BNY MellonUniversity of North Texas

Robotics-focused full-stack engineer with hands-on ROS experience building sensor-processing and control nodes, plus a track record of debugging and optimizing real-time robot responsiveness via profiling and message-timing analysis. Uses Webots for pre-hardware validation and Docker/CI/CD to standardize deployments and catch issues early.

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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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AA

Archi Agrawal

Screened

Mid-level Software Developer specializing in microservices and AWS cloud-native systems

United States3y exp
Saayam for AllArizona State University

Full-stack engineer focused on application-layer product work (70–75%), with production experience building real-time operational dashboards (React/TypeScript + Node/Express + WebSockets + Postgres) and measurable impact (50% reduction in data entry time). Also owned a Flask backend for a SaaS product with token auth/RBAC, versioning, observability, and performance tuning, and has operated containerized apps on AWS (EKS, RDS/Aurora, S3, API Gateway) including handling a real latency/scaling incident end-to-end.

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Abhishek Gupta - Mid-level Full-Stack Developer specializing in AI automation and RAG pipelines in Toronto, ON

Mid-level Full-Stack Developer specializing in AI automation and RAG pipelines

Toronto, ON6y exp
TCSConcordia University

Frontend engineer who has led mobile-first and web React/TypeScript products end-to-end, including an expense tracking app handling sensitive financial data and a real-time messaging/activity dashboard with chat, presence, and contextual side panels. Emphasizes scalable architecture, rigorous component-boundary testing, and production-safe rollout practices (feature flags, analytics/logging, staged releases) to ship reliably in fast-paced environments.

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Austin Near - Mid-Level Software Engineer specializing in full-stack and backend systems in Santa Clara, CA

Austin Near

Screened

Mid-Level Software Engineer specializing in full-stack and backend systems

Santa Clara, CA3y exp
Rocket EMSUC Merced

Full-stack JavaScript developer in small-company environments building PCB manufacturing web tooling. Owned and delivered blob-storage upload/download infrastructure (including an internal developer library) and a training/compliance tracking tool. Implemented secure, broadly compatible SSO for a customer portal under a <1 month deadline tied to an 8-figure customer deal, despite having no prior authentication experience.

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Sowmya Kasu - Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices in Northridge, CA

Sowmya Kasu

Screened

Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices

Northridge, CA6y exp
Kaiser PermanenteCalifornia State University, Northridge

Backend/ML engineer with healthcare experience at Kaiser Permanente building HIPAA-compliant Java/Spring Boot + GraphQL APIs integrated with Epic HealthConnect, including hands-on reliability/performance debugging using Prometheus/Grafana and resolver-level N+1 elimination. Also built an end-to-end malaria parasite detection ML feature (CNN/R-CNN) with evaluation, guardrails, and workflow integration, and has experience designing robust state-machine-based automation with retries, DLQs, and alerting.

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Nicholas Kim - Entry-Level Software Engineer specializing in full-stack and backend development in Houston, TX

Nicholas Kim

Screened

Entry-Level Software Engineer specializing in full-stack and backend development

Houston, TX0y exp
Boston ScientificUniversity of Houston

Full-stack developer who built a workout tracker feature end-to-end on the PERN stack (Postgres/Express/React), including relational schema design, REST APIs, and optimistic UI updates. Also has Next.js App Router experience (dynamic routes, SSG/React Server Components) and a strong quality mindset from Boston Scientific, where they used TDD to support clinically sound ECG analysis software and drove backend test coverage to 97%.

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Sai Erramada - Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems in Wisconsin, USA

Sai Erramada

Screened

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

Wisconsin, USA6y exp
WalgreensConcordia University Wisconsin

Backend engineer with hands-on experience building real-time, event-driven systems at Walgreens, including a Kafka-based prescription status notification service and scalable pipelines for messy prescription/inventory data. Strong focus on reliability patterns (retries, idempotency, DLQs) and iterating based on pharmacist feedback to improve usability.

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Sandipkumar Prajapati - Mid-Level Software Engineer specializing in full-stack systems and authentication in New York City, NY

Mid-Level Software Engineer specializing in full-stack systems and authentication

New York City, NY4y exp
ShoptakiPace University

Full-stack engineer who led production modernization of a legacy, latency-sensitive application into a React + microservices platform, with heavy TypeScript backend work to improve reliability and maintainability. Has operated and scaled authentication/identity services in production, addressing peak-traffic latency spikes via database tuning and improved observability, and emphasizes idempotent, retry-safe workflow design.

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Srinandh Reddy - Mid-Level Software Engineer specializing in backend, cloud, and event-driven systems in Aurora, Illinois

Mid-Level Software Engineer specializing in backend, cloud, and event-driven systems

Aurora, Illinois5y exp
McKessonLewis University

Robotics software engineer focused on backend and distributed systems for real-time robot operations, including sensor ingestion, robot state management, and robot-to-cloud communication. Hands-on with ROS/ROS2 integration and real-time navigation debugging, plus production-grade monitoring, CI/CD, and containerized deployments (Docker/Kubernetes) to improve stability and performance.

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SS

Sukesh Sadhu

Screened

Mid-Level Software Engineer specializing in FinTech payments and event-driven microservices

Connecticut, USA5y exp
Quebec SolutionsSacred Heart University and Fairfield University

Backend/data engineer focused on fintech payments and fraud systems, owning real-time Kafka-based reconciliation pipelines end-to-end (~13k tx/day). Built audit-friendly validation/reconciliation (SQL + Python), kept lag to seconds, and cut errors ~20%, while also shipping Spring Boot APIs with Redis caching and strong idempotency/versioning. Has early-stage startup experience standing up payment services on AWS with Docker + GitHub Actions and production monitoring/incident handling.

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Scott Knight - Director-level software engineering leader specializing in SaaS and Healthcare IT in Portland, OR

Scott Knight

Screened

Director-level software engineering leader specializing in SaaS and Healthcare IT

Portland, OR23y exp
Alatus Solutions LLCUniversity of New Hampshire

Candidate is exploring startup ideas focused on SaaS tools for small and medium-sized businesses, especially IT and HR automation. They have prior experience in VC-backed companies and with accelerators, and stand out for emphasizing real customer feedback and prototyping over echo-chamber startup advice.

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KS

Mid Software Engineer specializing in AI automation and full-stack systems

San Francisco, CA4y exp
PenumbraUniversity of Texas at Arlington

Built and shipped a production LLM-powered email automation agent for procurement that ingests emails/attachments, classifies requests via rules+embeddings+LLM fallback, enriches responses with SAP inventory data, and generates templated replies. Architected it as an event-driven, idempotent Azure Functions/Queues pipeline with schema-constrained outputs, confidence gating, retries/circuit breakers, and Application Insights monitoring—cutting turnaround time from 4–7 days to near real-time while maintaining zero downtime.

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Antoine Andre - Senior Account Executive specializing in AI/SaaS and technical B2B sales in Sacramento, CA

Antoine Andre

Screened

Senior Account Executive specializing in AI/SaaS and technical B2B sales

Sacramento, CA17y exp
BarterLoomCabrillo College

Founding recruiter/seller at Remax who built the entire outbound engine from zero—cadences, CRM workflows, automations, Chrome extensions, discovery framework, and ROI templates—without SDRs, inbound, or an existing playbook. Combines consultative selling with technical process-building, and turned a cold-sourced broker into a 5-person team producing $14M in annual volume while reducing meeting conversion timelines by 40%.

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RK

Mid-level Software Engineer specializing in AI, backend systems, and data platforms

San Ramon, CA7y exp
StackGenUniversity of Illinois Chicago

Built and shipped production AI features for Aiden, including a natural-language agent and a Knowledge Hub ingestion/retrieval system. Stands out for hands-on debugging of real LLM production issues across providers like OpenAI and AWS Bedrock, improving reliability and achieving 90% response/retrieval consistency through direct LiteLLM integration, validation, monitoring, and async system design.

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Sakshi Patel - Mid-level Software Engineer specializing in e-commerce and supply chain platforms in Remote, USA

Sakshi Patel

Screened

Mid-level Software Engineer specializing in e-commerce and supply chain platforms

Remote, USA3y exp
HCLTechIllinois Institute of Technology

AI-focused developer who has built several practical AI products, including EchoMate, a voice-agent system designed to act as a proxy for doctors and support patients when physicians are unavailable. Also has experience with multi-agent/API-based workflows in a solar suitability project, showing interest in applying AI across both healthcare and climate-related use cases.

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