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Vetted Hibernate Professionals

Pre-screened and vetted.

HibernateJavaDockerSpring BootCI/CDJavaScript
EX

Erkang Xia

Junior Backend Engineer specializing in cloud-native systems and observability

Sunnyvale, CA2y exp
WalmartNYU
JavaPythonC++SQLTypeScriptSwift+58
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SG

Srinidhi Garlapati

Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)

5y exp
PNCPace University
JavaJavaScriptTypeScriptSpring BootSpring MVCSpring Security+86
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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.”

A/B TestingAmazon RedshiftAmazon SageMakerAnomaly DetectionApache AirflowApache Kafka+122
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MG

Mithilesh Gaurihar

Screened

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.”

AgileAJAXAmazon EC2Amazon RDSAmazon S3Amazon CloudWatch+138
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KM

keerthana medaveni

Screened

Mid-Level AI/ML Software Engineer specializing in agentic LLM systems

Dallas, Texas6y exp
DatatronUniversity of West Florida

“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”

AgileAJAXAmazon DynamoDBAmazon S3AngularApache Hadoop+142
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JD

Jugal Datha Rayala

Screened

Mid-level Full-Stack Developer specializing in AI-powered cloud-native applications

Remote, USA5y exp
MicrosoftWebster University

“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”

PythonJavaJavaScriptTypeScriptSQLBash+96
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SS

Shreyansh Srivastava

Screened

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.”

AuthenticationAuthorizationAWSAWS LambdaAzure DevOpsBootstrap+91
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HA

Harshitha Ayenugula

Screened

Mid-level Full-Stack Software Engineer specializing in microservices and payments

New York, USA5y exp
T-MobileUniversity at Buffalo

“Full-stack engineer with experience at T-Mobile, Cisco, and Bharti Airtel, owning production plan upgrade/billing flows end-to-end from React/TypeScript UI through Spring Boot services to Docker/Jenkins/Kubernetes deployments. Demonstrated reliability and performance wins by migrating synchronous service calls to Kafka-based async processing with circuit breakers and by tuning Postgres queries/connection pools, achieving a reported 25% API response-time improvement and faster incident resolution via improved observability.”

JavaTypeScriptJavaScriptSQLPythonC+101
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SG

Sindhu Gunti

Screened

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

Remote, USA5y exp
IntuitChristian Brothers University

“Software engineer with Intuit experience shipping an end-to-end real-time financial insights product on AWS, using event-driven architecture with Kafka and Spark Streaming to process millions of records with low latency. Also delivers customer-facing React + TypeScript dashboards and has hands-on production operations experience, including resolving a database scaling incident via read replicas, query tuning, and connection pooling.”

JavaSpring BootHibernateC#JavaScriptTypeScript+143
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AF

Allan Farinas

Screened

Senior Full-Stack Software Engineer specializing in Python and AWS

West Covina, CA11y exp
CareRevCal Poly Pomona

“Backend/data engineer who has built production Python microservices (FastAPI) and AWS-native platforms for event ingestion and analytics, combining ECS/Fargate + Lambda with CloudFormation-driven environments and strong secrets/IAM practices. Experienced modernizing legacy logic with parallel-run parity validation and safe phased cutovers, and has demonstrated measurable SQL tuning wins (20–30s down to 1–2s) plus incident ownership in Glue/Step Functions ETL pipelines.”

PythonJavaScriptSQLAWSAWS LambdaAmazon API Gateway+193
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SC

Shujie Chen

Screened

Entry-Level Full-Stack Software Engineer specializing in web, mobile, and distributed systems

Remote0y exp
Jiangxi Arts & Ceramics Technology InstituteUSC

“Backend engineer who built a Logistics-as-a-Service platform in Go, proactively refactoring a monolithic REST service into gRPC microservices to improve performance and maintainability. Led a 3-person team with disciplined code reviews, Dockerized DB migrations, and a canary-style rollout (5% traffic) monitored for latency and failures; also implemented JWT/OAuth2 RBAC and production-minded edge-case handling in an ordering system.”

JavaGoPythonJavaScriptTypeScriptC+90
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LS

Likhith Sai Kumar Pasupuleti

Screened

Mid-level Software Engineer specializing in cloud-native microservices and workflow automation

TX, USA5y exp
ServiceNowCalifornia State University, Long Beach

“Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.”

JavaPythonSQLCC++R+154
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VR

Venthan Rajkumar

Screened

Engineering Manager specializing in payments orchestration and checkout platforms

Toronto, Canada12y exp
ChargebeeVellore Institute of Technology

“Frontend engineer who led end-to-end architecture for a cross-platform Payments Checkout SDK at Inai Technologies, scaling it to support iOS/Android/React Native/Flutter/Capacitor and powering 2.4M+ transactions per month. Emphasizes performance (bundle size/tree-shaking), OTA update delivery for mobile wrappers, and strong engineering guardrails (SonarQube, Snyk, CI/CD, regression suites, Sentry/PostHog) to ship quickly with high quality.”

ReactJavaScriptTypeScriptReduxWebpackJest+104
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CM

Chaitanya Movva

Screened

Mid-level Full-Stack Java Developer specializing in payments and event-driven microservices

Arlington, VA5y exp
IntuitGeorge Washington University

“Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.”

JavaSpring BootSpring MVCREST APIsMicroservicesHibernate+106
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MB

Mahesh Babu

Screened

Mid-level Full-Stack Developer specializing in cloud-native FinTech systems

New York, NY4y exp
Goldman SachsClemson University

“Built a lightweight internal JavaScript analytics tracker capturing user interactions (clicks, page views, custom events) with debounced batching, automatic session tracking, and offline event caching via a localStorage-backed append-only queue. Demonstrates practical performance optimization mindset (profiling, memoization/caching) and React performance tuning.”

AgileAmazon EC2Amazon EKSAmazon RDSAmazon S3Angular+97
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ES

Edin Samuel Joselyn Chandrakumar

Screened

Senior Engineering Manager specializing in cloud platforms and risk systems

16y exp
Capital OneGovernment College of Technology, Coimbatore

“Engineering leader who proposed and delivered a new API-based document management platform to replace a vendor-dependent system, improving latency by ~1s and availability to 99.9% while migrating legacy data. Also drove Python-based automation of ~12 workflows via third-party API integrations and led an SSO/auth integration focused on backward compatibility and high login success rates.”

A/B TestingAgileAmazon CloudWatchAmazon DynamoDBAmazon ECSAmazon RDS+88
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MD

Maitri Dodiya

Screened

Mid-level Software Engineer specializing in scalable real-time data systems

USA4y exp
FanaticsArizona State University

“Backend/platform engineer from Fanatics sportsbook core team with deep experience in real-time ingestion systems (Kafka) and high-throughput performance optimization. Delivered an 87% latency reduction on a Java API handling hundreds of thousands of updates per second, and improved reliability of shared internal libraries via deterministic recovery logic, strong testing, and feature-flagged rollouts.”

A/B TestingApache KafkaAWS LambdaCI/CDC++Confluence+89
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AV

Abhishek Veeravelli

Screened

Mid-Level Software Engineer specializing in cloud infrastructure and microservices

SLC, USA3y exp
Goldman SachsGeorge Mason University

“Backend engineer who has led major platform evolution to cloud-native microservices (Spring Boot on AWS with Terraform) and built scalable, secure FastAPI APIs. Demonstrates strong production rigor with metric-driven validation, canary/phased rollouts, and incremental migrations using shadow traffic/feature flags/parallel writes—achieving faster deployments, fewer incidents, and zero-downtime traffic spikes and migrations.”

JavaPythonSQLTypeScriptJavaScriptShell Scripting+148
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SK

SaiTeasmitha Kaja

Screened

Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and cloud microservices

Houston, TX4y exp
HPEUniversity of Houston

“Backend-focused Python/Flask engineer who has built authentication/profile services with clean modular architecture (blueprints + service layer) and tuned SQLAlchemy/Postgres for scale using indexing, query rewrites, and pagination. Has production-style integration experience for AI/ML via TensorFlow Serving and OpenAI APIs (batching, rate limiting, caching), plus multi-tenant data isolation and high-throughput background processing with Celery/Redis and idempotent jobs.”

AgileAngularApache TomcatAPI GatewayArgo CDAudit Logging+168
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SY

Shishir Yadav

Screened

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

New York, NY3y exp
Freddie MacPurdue University

“Software engineer in the mortgage/financial services domain (Freddie Mac) who builds end-to-end loan origination and credit risk capabilities using Spring Boot microservices, Angular dashboards, and data pipelines. Delivered measurable impact (30% reduction in underwriting turnaround time) and emphasizes production reliability/compliance with strong guardrails, observability, and evaluation loops for risk scoring systems.”

JavaSpring BootSpring CloudSpring MVCREST APIsMicroservices Architecture+127
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RT

Ramya Thottempudi

Screened

Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices and React

Mobile, AL4y exp
UberLindsey Wilson College

“Uber engineer who has owned internal products end-to-end across backend (Spring Boot microservices, MySQL) and frontend (React), including performance optimization and secure JWT-based auth. Also shipped a production internal RAG/embeddings LLM support assistant over policy docs and support tickets, with guardrails (confidence thresholds, human review) and an evaluation loop that directly reduced hallucinations.”

Amazon CloudWatchApache KafkaApache TomcatAPI GatewayAutomated TestingAWS+128
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RA

Rohith Arabati

Screened

Mid-Level Software Engineer specializing in Payments and Financial Services

United States5y exp
JPMorgan ChaseUniversity of North Texas

“Software engineer with hands-on experience improving performance and reliability in financial workflows (settlements/loan processing), spanning React/TypeScript and Angular frontends plus Spring Boot microservices. Has delivered measurable latency improvements using PostgreSQL optimization and Redis caching, and has operated Kafka-based systems at scale with idempotent processing and backoff/retry strategies while iterating internal ops tooling with support/finance teams.”

JavaSpring BootHibernatePythonFastAPINode.js+103
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SR

saikrishna reddyrayapati

Screened

Mid-Level Java/Full-Stack Engineer specializing in FinTech and cloud-native microservices

Pittsburgh, PA5y exp
Capital OneGannon University

“Software engineer/product-focused builder who has delivered customer-facing dashboards (React/TypeScript + Spring Boot) and microservices using RabbitMQ, emphasizing safe, fast iteration with CI/CD, feature flags, and monitoring. Also built an internal monitoring/reporting tool adopted by ops/support by involving users early and iterating based on feedback.”

JavaPythonJavaScriptTypeScriptPL/SQLSQL+110
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