Vetted Azure App Service Professionals

Pre-screened and vetted.

RA

Mid-level Full-Stack Engineer specializing in FinTech

Irving, TX4y exp
CitibankLamar University

Junior developer with over a year of experience who is already applying AI-assisted engineering practices in production, including GitHub Copilot, ChatGPT, SonarQube, and OpenAI-based workflows. On a Citibank public portal built with .NET 8 and Angular, they used AI tooling plus CI/CD quality gates to speed delivery and reportedly reduce post-deployment bugs by 30-40% while maintaining strict security and compliance standards.

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NP

Mid-level Software Engineer specializing in backend web applications and APIs

Illinois, USA5y exp
Capital OneIllinois Institute of Technology

Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.

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TB

Teja Basi

Screened

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

MS, USA4y exp
CiscoBelhaven University

Full Stack Developer (recently at Cisco Systems) building end-to-end web applications with Angular frontends and Spring Boot microservices backed by MySQL/JPA, including JWT + role-based access. Has hands-on experience with high-volume, real-time data processing/visualization and has solved complex UI state consistency issues using RxJS BehaviorSubjects; also applies layered state patterns in React with Redux Toolkit and uses AI dev tools (Cursor/Claude) strategically.

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RN

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

4y exp
American ExpressUniversity of North Texas

Full-stack engineer who owned end-to-end delivery of a customer-facing financial services web platform and built internal tooling for engineering teams. Strong in microservices and event-driven systems (Kafka/RabbitMQ), distributed transaction management (saga), and production performance/observability—achieving ~40% backend response-time improvement through database and query optimization.

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RF

Mid-level Software Engineer specializing in backend microservices and AI-integrated platforms

Dallas, TX4y exp
Blue Cross Blue ShieldUniversity of Texas at Arlington

Full-stack engineer with experience spanning AI-powered product features and healthcare fraud detection systems. Has built end-to-end LLM-enabled applications, customer-facing recommendation systems at scale, and operational platforms that improved real-time investigations and flagged over 1,200 high-risk cases quarterly.

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Sai Naveen Reddy Reganti - Mid-level Full-Stack Engineer specializing in cloud-native FinTech and Healthcare systems in null

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

null4y exp
AESWichita State University

Full-stack engineer working on customer-facing utility and banking platforms, with hands-on experience across React/React Native, Java/Spring Boot, Python/Django, AWS, and SQL performance tuning. Stands out for owning production systems end to end, improving CI/CD and deployment reliability, and delivering a measurable database optimization that cut CPU utilization from about 80% to 40%.

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JS

Jafeeza Shaik

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and data platforms

3y exp
Wells FargoUniversity at Buffalo

Robotics software engineer focused on multi-robot fleet orchestration in ROS 2, owning the fleet manager and task dispatch layer for pick/drop workflows. Strong in real-world reliability and safety (heartbeats, idempotent tasking, E-stop/localization confidence gates) and in debugging timing/state issues via telemetry alignment and rosbag replay, with experience in simulation, CI/CD, Docker, and Kubernetes-based deployments.

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JW

Joseph Wonesh

Screened

Senior Full-Stack Software Engineer specializing in modern web apps and cloud platforms

Los Angeles, CA11y exp
SmartiStackUniversity of Florida

Backend/data engineer focused on production-grade Python microservices and AWS platforms, including a hybrid Lambda + ECS Fargate architecture managed with Terraform and CI/CD. Has hands-on reliability experience (JWT/OAuth, timeouts, retries, centralized error classification) and built AWS Glue/PySpark ETL pipelines consolidating PostgreSQL/RDS, MongoDB, and S3 sources into curated partitioned Parquet datasets. Demonstrated measurable SQL tuning impact (8 minutes to 25 seconds) and disciplined legacy-to-modern migrations with parity validation and UAT sign-off.

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HS

Mid-level Full-Stack Engineer specializing in cloud data platforms and LLM-powered apps

New York City, NY4y exp
CenteneUniversity of Maryland, Baltimore County

Full-stack engineer with healthcare and finance experience who has owned end-to-end production systems across Azure and AWS. Built a real-time clinical dashboard at Centene (React + FastAPI + Azure Event Hubs) that cut data latency from ~12 minutes to under 1 minute and was associated with a 30% reduction in intervention delays. Also delivered MVPs in high-ambiguity environments at Accenture during monolith-to-microservices migration, improving uptime and maintainability with measurable results.

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VS

Vinay shetty

Screened

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

4y exp
Huntington BankUniversity of North Texas

Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.

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Mahesh Kota - Mid-level Full-Stack Java Developer specializing in cloud-native FinTech and Healthcare platforms in New York, NY

Mahesh Kota

Screened

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

New York, NY5y exp
CitibankNew England College

Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.

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CG

Chandana G

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and AI-powered platforms

5y exp
PNCUniversity of Cincinnati

Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.

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SP

Senior Full-Stack Engineer specializing in FinTech and Healthcare IT

5y exp
American ExpressWilmington University

Full-stack engineer with hands-on experience spanning React/TypeScript frontend architecture, .NET/Entity Framework backend services, and database optimization. Has owned end-to-end features like payment processing flows and also helped ship a 0→1 AI developer productivity capability, showing a mix of product sense, startup speed, and practical performance engineering.

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SS

Mid-level Full-Stack .NET Engineer specializing in AI-integrated enterprise applications

San Jose, CA4y exp
Datics IncUniversity of Maryland, College Park

Full-stack engineer who has owned an operations/reporting dashboard end-to-end, spanning React/TypeScript frontend architecture, ASP.NET Core APIs, and SQL data access. Stands out for combining strong UI performance optimization with pragmatic backend decisions, post-launch monitoring, and 0→1 startup platform building that improved API speed by 35% while supporting 2,000+ transactions per hour.

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Indra Shakya - Senior Full-Stack Engineer specializing in FinTech in Charlotte, NC

Indra Shakya

Screened

Senior Full-Stack Engineer specializing in FinTech

Charlotte, NC8y exp
Bank of AmericaTribhuvan University

Frontend-leaning full-stack engineer with deep experience building real-time financial trading platforms at Bank of America. They led modernization of a global markets product by consolidating three legacy apps into a single React/Next.js platform, built WebSocket-driven market data experiences, and helped drive shared component libraries and engineering standards used across multiple teams.

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SK

Senior DevOps & Cloud Engineer specializing in multi-cloud infrastructure and Kubernetes

8y exp
Columbia SportswearLindsey Wilson College
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Usha Nagula - Mid-level Software Engineer specializing in Azure .NET microservices for FinTech and Healthcare in Remote, USA

Mid-level Software Engineer specializing in Azure .NET microservices for FinTech and Healthcare

Remote, USA4y exp
JPMorgan ChaseUniversity of Cincinnati
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Dhanalakshmi Sangaraju - Mid-Level Software Engineer specializing in cloud-native full-stack and FinTech systems in Chicago, IL

Mid-Level Software Engineer specializing in cloud-native full-stack and FinTech systems

Chicago, IL4y exp
CitigroupDePaul University
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Revathi Jaya - Mid-level DevOps Engineer specializing in cloud-native infrastructure and DevSecOps in USA

Mid-level DevOps Engineer specializing in cloud-native infrastructure and DevSecOps

USA5y exp
CitigroupCumberland University
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AS

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

USA5y exp
VisaMidwestern State University
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Uma Kasinedi - Mid-Level Software Development Engineer specializing in cloud-native microservices and AI/ML in GA, USA

Mid-Level Software Development Engineer specializing in cloud-native microservices and AI/ML

GA, USA4y exp
Capital OneKennesaw State University
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ST

Mid-level Software Engineer specializing in Python, GenAI/ML, and cloud-native systems

Remote, USA4y exp
DeloitteUniversity of Cincinnati
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VS

Senior Software Engineer specializing in Python backend, cloud-native microservices, and data platforms

Charleston, SC14y exp
GovSpendUniversity of North Carolina at Charlotte
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SI

Mid-level DevOps Engineer specializing in AWS and Azure CI/CD automation

Nashville, TN6y exp
Fifth Third BankCumberland University
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