Vetted Java Professionals

Pre-screened and vetted.

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

Vigneshwari Shankiri

Screened ReferencesStrong rec.

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

5y exp
TD BankSt. Peter's Engineering College

Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.

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DC

dezhou chen

Screened

Mid-level AI Engineer specializing in LLM systems and GenAI products

Remote, USA4y exp
StealthUniversity of Illinois Urbana-Champaign

AI-focused product engineer working on LLM routing, prompt engineering, and multimodal API integrations at production scale. They describe improving system accuracy, latency, and token usage, fine-tuning an internal model to reduce third-party API dependence, and adding safety guardrails through prompt-injection testing and red-team evaluation.

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Fatema Tuzzohra - Senior Full-Stack Java Developer specializing in banking and healthcare platforms in Hicksville, NY

Senior Full-Stack Java Developer specializing in banking and healthcare platforms

Hicksville, NY12y exp
U.S. BankKhulna Women's College

Enterprise-focused full-stack/backend engineer with hands-on experience shipping a production LLM-powered document analysis platform for internal operations teams. They combine cloud-native microservices expertise across AWS/Azure with practical agent-system design, including async orchestration, model routing, observability, and safeguards for hallucinations, failures, and human-review fallbacks.

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YT

Senior Software Development Engineer specializing in backend systems and data pipelines

5y exp
Cardinal HealthJB Institute of Engineering and Technology

Backend-focused engineer with healthcare and finance experience (Cardinal Health, JPMorgan) who has owned end-to-end data flows powering dashboards, emphasizing strong validation/data quality and measurable frontend performance gains. Has shipped Spring Boot REST APIs with versioning and Swagger docs, and has stood up an MVP task management system with GitHub Actions CI/CD, Docker, and AWS EC2 deployment.

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John Juszczak - Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines in Los Angeles, CA

John Juszczak

Screened

Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines

Los Angeles, CA10y exp
Starpunch StudiosDePaul University

Gameplay programmer with hands-on Unreal Engine multiplayer shooter experience, notably overhauling aiming/ADS using Enhanced Input and curve-table-driven response curves plus subtle aim assist. Demonstrates strong networking judgment (client-side prediction vs server authority for anti-cheat) and a systems mindset, adding automation/analytics to speed iteration and improve decision-making.

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Nithin Reddy - Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures in Santa Clara, California

Nithin Reddy

Screened

Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures

Santa Clara, California4y exp
Goldman SachsCentral Michigan University

Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.

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AZ

Anna Zhou

Screened

Mid-level Backend Software Engineer specializing in Go, AWS, Kafka, and DevOps

Seattle, WA5y exp
NordstromUniversity of Washington

Checkout-focused engineer with hands-on experience integrating many dependent microservices and Kafka event flows, including managing SLA/timeout issues with partner teams. Led a PayPal Braintree SDK migration across iOS/Android/web with strong testing discipline, and built an AWS Lambda automation to clean up stale CloudFormation test stacks to reduce monthly AWS spend.

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PC

Pranit Chetta

Screened

Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms

Wilmington, DE11y exp
JPMorgan ChaseGujarat Technological University

Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.

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Manyuvraj Sandhu - Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments in Calgary, AB

Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments

Calgary, AB4y exp
Dasens AIUniversity of Waterloo

Frontend engineer who has led complex React + TypeScript products end-to-end, including a real-time canvas-based digital signature editor and a multi-step AI workflow dashboard. Demonstrates strong architecture and performance instincts (state machines for streaming async updates, bundle/render optimizations) plus pragmatic shipping practices (feature flags, automated tests, analytics and user interviews), with a quantified impact from refactoring (~30% less duplicated UI code).

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Dana Zahreddine - Mid-level Full-Stack Software Engineer specializing in enterprise SaaS in Remote, USA

Mid-level Full-Stack Software Engineer specializing in enterprise SaaS

Remote, USA5y exp
Hello-EQAmerican University of Beirut
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SG

Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms

New York, NY9y exp
S&P GlobalUniversity of Texas at Dallas
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Mounika S - Senior Machine Learning Engineer specializing in MLOps and Generative AI in St. Louis, Missouri

Senior Machine Learning Engineer specializing in MLOps and Generative AI

St. Louis, Missouri7y exp
Emerson
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VN

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

Texas, USA4y exp
JPMorgan ChaseIndiana Wesleyan University
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RS

Mid-level Software Engineer specializing in backend systems and distributed services

North Carolina, USA4y exp
ServiceNowUniversity of North Carolina at Charlotte
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VR

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

NJ, USA5y exp
Goldman SachsStevens Institute of Technology
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PK

Senior Data Engineer specializing in multi-cloud data platforms and generative AI

Weston, FL5y exp
UKGUniversity of Alabama at Birmingham
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TL

Senior Software Engineer specializing in ML/AI and scalable data platforms

San Jose, CA11y exp
LabelboxNational University of Singapore
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MS

Senior Software Engineer specializing in robotics, ML, and full-stack web development

Hillsboro, OR12y exp
IntelPortland State University
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SS

Senior DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes

7y exp
KrogerUniversity of Dayton
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RR

Mid-level Data Scientist specializing in financial ML, NLP, and MLOps

San Diego, CA5y exp
Morgan StanleySan Diego State University
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JF

Mid-level AI/ML Software Engineer specializing in Generative AI and NLP

Remote5y exp
EmerjenceBoston University
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SD

Srijan Dokania

Screened ReferencesModerate rec.

Junior Robotics & Machine Learning Engineer specializing in perception, SLAM, and edge AI

Boston, MA2y exp
Field Robotics Lab (Northeastern University)Northeastern University

Built and deployed an Azure-based, fine-tuned CLIP visual retrieval system at Staples for a ~300k-item product catalog, improving edge-case recall by 12% by engineering a custom delta-similarity/dynamic-margin loss. Also has robotics experience using ROS2 for sensor/compute orchestration, including GPS-time-synchronized sensor triggering for robot swarms and latency-bounded optical-flow benchmarking for edge deployment.

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