Vetted Hibernate Professionals

Pre-screened and vetted.

SS

Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals

Columbus, OH5y exp
Molina HealthcareIllinois Institute of Technology

Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.

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MP

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

5y exp
Saayam for AllArizona State University
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HS

Senior Software Engineer specializing in backend APIs and cloud-native services

Minneapolis, MN10y exp
Wells FargoUniversity of Minnesota
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Rajasekhar Tungala - Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration in New York, United States

Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration

New York, United States4y exp
CVS HealthStevens Institute of Technology
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Ekta Singh - Senior Backend Software Engineer specializing in cloud-native payments and billing systems in San Francisco, CA

Senior Backend Software Engineer specializing in cloud-native payments and billing systems

San Francisco, CA13y exp
SintegraDr. A.P.J. Abdul Kalam Technical University
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JK

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

Naperville, IL6y exp
EgenWichita State University
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AS

Senior Software Developer specializing in SaaS, AWS, and API-driven platforms

Remote9y exp
Omen TechnologiesNortheastern University
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AH

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

USA4y exp
Freddie MacPace University
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RN

Senior Software Engineer specializing in cloud-native Java microservices

Chicago, IL5y exp
EpsilonFlorida Atlantic University
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SG

Senior Full-Stack JavaScript Developer specializing in React and Node.js

San Jose, CA8y exp
TCSMaharishi International University
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KJ

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

Saint Louis, Missouri5y exp
Anheuser-BuschUniversity of Missouri-Kansas City
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BK

Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation

Leesburg, VA30y exp
Metropolitan Washington Airports AuthorityWestern Michigan University
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SS

Mid-level Software Engineer specializing in full-stack and machine learning

Delray Beach, FL4y exp
OptumFlorida Atlantic University

Built a production AI-powered customer support Q&A system using an internal knowledge base to reduce repetitive ticket work and improve customer satisfaction, with an emphasis on source-backed answers and expert oversight. Also has experience defining deployment services in a microservices architecture and integrating large-scale APIs (including work connected to US HHS/COVID-19).

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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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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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SA

Sadha Alla

Screened

Mid-level Software Engineer specializing in Java microservices and ML model integration

Chicago, IL5y exp
Berkshire HathawayRoosevelt University

Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.

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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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SV

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

USA4y exp
Cleveland ClinicBowling Green State University

Built a real-time telemedicine clinician dashboard and iterated post-launch by diagnosing lag via logs/metrics and optimizing DB queries/sync logic. Also shipped a production internal RAG knowledge assistant for support teams, including embeddings/vector DB, citation-only answers with abstention thresholds, and an eval loop driven by real ticket data that improved accuracy through chunking/overlap and batching optimizations.

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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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