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Vetted Hibernate Professionals

Pre-screened and vetted.

PS

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

New Milford, NJ3y exp
Ally FinancialMontclair State University
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KA

Mid-Level Frontend/Full-Stack Engineer specializing in web apps and FinTech

Guayaquil, Ecuador7y exp
InnovasystemESPOL
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YP

Mid-level Software Engineer specializing in backend systems, APIs, and cloud microservices

TX, USA4y exp
DXC TechnologyTexas A&M University
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NS

Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability

Irving, USA5y exp
HarmonecareIllinois Institute of Technology
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IB

Junior Software Engineer specializing in backend, microservices, and cloud

San Francisco, CA2y exp
KarmeqSyracuse University
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DW

Diya Wadhwani

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in MERN, AWS, and secure authentication

4y exp
One CommunityNortheastern University

Application-layer full-stack engineer who has shipped enterprise-facing integrations and developer tooling, including an end-to-end Slack integration for automated ticket creation and a real-time feature-flag dashboard (React/TS + GraphQL/Apollo + NestJS) with audit trails. Has hands-on AWS container operations experience (ECS Fargate/ALB/RDS) and has improved product performance (35% faster dashboards) while building auth and RBAC for 500+ users.

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AN

Abhishek Namdev Sawant

Screened ReferencesModerate rec.

Mid-Level Backend Software Engineer specializing in Java microservices and cloud platforms

Seattle, WA5y exp
Ecological Servants ProjectSeattle University

Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.

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NP

Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React

Remote4y exp
Northern Arizona UniversityNorthern Arizona University

Backend-leaning full-stack engineer who builds and operates Spring Boot microservices with React/TypeScript frontends, using Kafka/RabbitMQ for event-driven workflows. Created an internal ops dashboard for Support/SRE with tracing, alert correlation, and self-serve actions, improving MTTR and reducing escalations while maintaining regulatory-grade reliability and security.

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HS

Himani Soni

Screened

Mid-Level Frontend Engineer specializing in React and real-time dashboards

Mathura, India3y exp
TCSBSA College of Engineering & Technology

Frontend engineer focused on building and maintaining an internal React component library with strong emphasis on performance, accessibility, and developer experience. Has hands-on experience improving a slow network dashboard by refactoring heavy UI data processing to reduce re-renders, and supports users by reproducing issues, diagnosing bottlenecks, and clearly communicating fixes.

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HN

Haytham Nasri

Screened

Software Engineering Manager specializing in cloud-native mobility and enterprise Java

Amsterdam, The Netherlands15y exp
MonotchUniversity of Sfax

Backend/architecture-focused player-coach who designed and built two partner-facing data APIs using a contract-first (OpenAPI) governance model in Java (Quarkus/Spring Boot). Strong in technical standards, incident response, and delivery systems—improved reliability under peak load (DB/index fix) and sped up delivery by streamlining PR/review processes while maintaining production stability.

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SS

Junior Software Engineer specializing in backend systems and AI data pipelines

Remote, USA1y exp
Zorro AINortheastern University

Backend engineer with fintech/AI startup experience who built an Azure serverless, event-driven pipeline for large-scale crypto sentiment analysis and semantic search (OCR/NLP to vector search) and integrated LLM + blockchain data for predictive insights. Demonstrated measurable impact (25% lower retrieval latency, 10% fewer data errors, 15% higher engagement) and has led safe microservices migrations with strong security and reliability practices.

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TS

Teja Sankara

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native SaaS

4y exp
Elevance HealthUniversity of Texas at Arlington

Backend engineer with deep experience modernizing a provider credentialing/compliance platform with multiple upstream/downstream integrations. Focused on building predictable, scalable REST APIs (primarily ASP.NET Core; framework-agnostic approach applicable to FastAPI), improving performance via DB/query optimization, and hardening workflows with idempotency, transactions, feature flags, and strong auth/RBAC patterns.

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AS

Anupam Sistla

Screened

Intern Software Engineer specializing in full-stack development, cloud, and automation

2y exp
ProtegrityUniversity of Illinois Chicago

Robotics software engineer who built an autonomous debris-clearing rover software stack end-to-end using ROS 2, Python/OpenCV, and YOLOv3, with strong emphasis on real-time reliability (latency instrumentation, stale-data handling, watchdog fail-safes). Also implemented a Docker CI/CD deployment system for remote Raspberry Pi timelapse devices, distributing updates via AWS S3 to handle intermittent connectivity.

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JG

Mid-Level Full-Stack Software Engineer specializing in Healthcare IT and FinTech

USA7y exp
UnitedHealth GroupCalifornia State University, Los Angeles

Engineer with experience in regulated healthcare and financial systems, including a United Health healthcare service migration to AWS. Built documentation-as-code for CI/CD (Jenkins/Docker/Kubernetes/Terraform + GitHub Actions) that accelerated release cycles from 3 weeks to 4 days and tied security configuration (Spring Security/OAuth2/JWT) directly to HIPAA/GDPR compliance. Strong in observability-led incident response (ELK/Prometheus/Grafana) and performance tuning (PostgreSQL, async processing), citing MTTR reduction from 3 hours to 50 minutes and support for 250K+ concurrent users.

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RD

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

CA, USA5y exp
DXC TechnologyCalifornia State University, Long Beach

Enterprise workflow/product engineer (DXC) who owned a customer-facing workflow application for 500+ users and improved performance ~30% through API/SQL optimization, caching, and CI/CD-backed iteration. Experienced designing React/TypeScript + Java/Spring Boot systems and operating microservices with RabbitMQ/Kafka-style messaging, emphasizing reliability via DLQs, backpressure, and strong observability. Also built an internal automation dashboard adopted by support/ops teams to cut manual work and reduce SLA misses.

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SG

Saharsha Goud

Screened

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Denver, CO7y exp
DaVitaUniversity of Central Missouri

Full-stack engineer focused on data-heavy platforms, building Spring Boot microservices and Angular/React dashboards end-to-end. Has hands-on experience improving large-scale API and UI performance (including cutting 8–10s response times) and ensuring cross-service consistency using Kafka, idempotent consumers, and strong validation/transaction patterns on AWS with CI/CD and observability (Prometheus/ELK).

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RR

Mid-Level Full-Stack Engineer specializing in Java Spring Boot and React

Remote, US3y exp
SynchronyGovernors State University

Full-stack engineer who built a cloud-native customer servicing platform at Synchrony using React 18/Next.js (SSR) and Spring Boot microservices on AWS. Experienced with high-volume, event-driven systems (Lambda/SNS/SQS) and strong distributed-systems rigor around data integrity (idempotency, DynamoDB conditional writes) plus production-grade security/observability (JWT/OAuth2, WAF, Actuator, Splunk).

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AG

Ashritha G

Screened

Mid-Level Software Development Engineer specializing in distributed systems and cloud microservices

USA3y exp
Outlier AIUniversity of Massachusetts Boston

Software engineer with enterprise, customer-facing delivery experience across Outlier AI and Wipro—builds and productionizes workflow and integration solutions with a strong focus on real-world performance and reliability. Delivered a Firestore/Redis-backed real-time pipeline that cut page load times by 20% and held consistent performance across 10,000+ sessions, and has hands-on production incident experience stabilizing high-traffic microservices via caching, indexing, and safe canary deployments.

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AS

Althaf Shaik

Screened

Senior Software Engineer specializing in cloud-scale distributed systems and data platforms

Hyderabad, India4y exp
DHI ADT SolutionsNJIT

LLM/RAG-focused engineer who repeatedly takes agentic workflows from impressive demos to dependable production using rigorous evals, SLOs, and deep observability. Has led high-impact incident mitigation (22-minute MTTR during a major sale) and developer enablement workshops, and partnered with sales to close a $410k ARR enterprise deal with a tailored RAG pilot (FastAPI/pgvector/Okta/InfoSec-ready).

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ZP

Zeel Patel

Screened

Junior Backend Engineer specializing in FinTech microservices

DE, USA1y exp
TickerNortheastern University

Backend developer (recent co-op at Ticker) building and architecting financial backend services with near real-time data needs, including third-party API integrations. Improved performance and reliability via Redis caching (tiered refresh + TTL) and PostgreSQL query tuning (EXPLAIN ANALYZE + composite indexes), and has exposure to AI-agent/RAG concepts for validating stock-market information against trusted sources.

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AK

Akanksha K

Screened

Mid-Level Full-Stack Software Engineer specializing in Java microservices and React

USA3y exp
KrogerSaint Louis University

Backend-focused TypeScript/Node.js engineer who owned a production microservice for transactional workflows in a React + microservices platform, integrating REST and Kafka event processing. Emphasizes operability and correctness (idempotency keys, exponential backoff retries, DLQs, centralized logging/metrics/alerts) plus strong API DX via versioning and Swagger/OpenAPI with improved error contracts based on developer feedback.

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TG

Mid-level Full-Stack Software Engineer specializing in cloud-native SaaS and microservices

Boston, MA6y exp
UNAR Labs LLCGeorge Washington University

At Unar Labs, built and operationalized LLM capabilities inside a cloud-native SaaS product, emphasizing production reliability (fallbacks, observability, cost/latency/quality monitoring) and iterative improvement from user feedback. Also acts as a customer-facing technical lead—running developer demos/workshops and supporting sales through discovery, pilots/POCs, and technical walkthroughs to drive production adoption.

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