Vetted Material UI Professionals

Pre-screened and vetted.

CT

Junior Software Engineer specializing in cloud-native microservices

Hoschton, Georgia6y exp
VerizonUniversity of Maryland Global Campus
View profile
RD

Mid-level Full-Stack Developer specializing in cloud-native web applications

CA, USA4y exp
Goldman SachsCalifornia State University, San Bernardino
View profile
MR

Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech

San Francisco, CA4y exp
IntuitOklahoma Christian University
View profile
PG

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

Buffalo, NY6y exp
UberUniversity of Houston
View profile
SV

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

Reston, VA5y exp
WalmartUniversity of Central Missouri
View profile
MM

Junior Front-End/Full-Stack Software Engineer specializing in accessible web applications

Falls Church, VA2y exp
Virginia TechVirginia Tech
View profile
BB

Mid-level Full-Stack Software Engineer specializing in cloud-native systems and GenAI

United States, USA5y exp
JPMorgan ChaseNortheastern University
View profile
AP

Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics

Baltimore, MD12y exp
Under ArmourNorth Carolina State University
View profile
AC

Staff AI & Software Engineer specializing in Healthcare IT

Woonsocket, RI11y exp
CVS HealthUniversity of Houston
View profile
PP

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

Durant, OK8y exp
First United Bank
View profile
FK

Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech

Bristow, VA9y exp
Bank of America
View profile
VN

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

Texas, USA4y exp
JPMorgan ChaseIndiana Wesleyan University
View profile
VR

Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud DevOps

NJ, USA5y exp
Goldman SachsStevens Institute of Technology
View profile
VK

Vamsi Krishna Chigurupati

Screened ReferencesModerate rec.

Mid-level Full-Stack Developer specializing in FinTech microservices

USA4y exp
CitigroupUniversity of Alabama at Birmingham

Backend engineer currently at Citigroup working on real-time transaction processing systems with Kafka. Stands out for using AI tools pragmatically in a regulated banking environment to improve debugging, testing, and developer productivity while keeping human control over architecture, security, and performance decisions.

View profile
RP

Rubesh Phaiju

Screened

Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI

Mechanicsburg, PA8y exp
DeloitteUniversity of the Cumberlands

Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.

View profile
Gnaneswar Markat - Mid-level Software Engineer specializing in cloud-native distributed systems in Charlotte, NC

Mid-level Software Engineer specializing in cloud-native distributed systems

Charlotte, NC4y exp
Bank of AmericaUniversity at Buffalo

Full-stack engineer with Bank of America experience building and owning a customer portfolio dashboard end-to-end, from requirements through launch and ongoing iteration. They combine React/Spring Boot/PostgreSQL implementation with strong performance tuning, real-time data handling, and UX improvements, and cite adoption by roughly 12,000 active internal users.

View profile
GR

Mid-level Software Engineer specializing in AI platforms and full-stack systems

Cambridge, MA5y exp
PhilipsNortheastern University

Software developer with a one-year Philips co-op who has already applied AI-assisted coding in production, not just side projects. Stands out for using multi-agent development setups with task-specific sub-agents and a clear human-led orchestration philosophy focused on context, quality control, and security.

View profile
HA

Habtom Asfaha

Screened

Senior Java Full-Stack & DevOps Engineer specializing in cloud-native microservices

California, USA9y exp
Syneos HealthSan Francisco State University

Software engineer with a CS/Computer Engineering background who has worked on ML/NLP (Hugging Face, clinical NLP, text generation and structured extraction) and has a school robotics project integrating a trained ML model with microprocessor-controlled hardware to drive motor movement and writing. Currently focused on building and deploying applications and ML models to AWS/Azure using Docker, Kubernetes, and CI/CD; targeting ~$150K compensation.

View profile
PV

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

Texas, USA5y exp
Capital OneAuburn University at Montgomery

Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).

View profile
Goutami Amara - Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare platforms in Memphis, TN

Goutami Amara

Screened

Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare platforms

Memphis, TN6y exp
JPMorgan ChaseUniversity of Memphis

Software engineer who built internal operations/monitoring dashboards for real-time trading and money-movement systems, emphasizing auditability and rapid iteration. Deep experience with microservices on Azure using Kafka/RabbitMQ, plus strong testing discipline (JUnit/Mockito/Testcontainers, contract/E2E) and observability patterns (correlation IDs, centralized logging, distributed tracing) to reduce incident triage time and improve resilience.

View profile

Need someone specific?

AI Search