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Vetted Waterfall Professionals

Pre-screened and vetted.

CB

Senior Backend Engineer specializing in Python APIs, cloud platforms, and real-time data systems

FL, US12y exp
VerizonUniversity of Central Florida
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SV

Mid-level AI/ML Engineer specializing in LLMs, NLP, and scalable ML pipelines

CA, USA4y exp
ServiceNowSan José State University
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VA

Mid-level Data Scientist specializing in ML, deep learning, and manufacturing analytics

CA5y exp
GlobalFoundriesSan José State University
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MR

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

San Francisco, CA4y exp
IntuitOklahoma Christian University
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GB

Senior Java Full-Stack Developer specializing in enterprise web apps and microservices

Charlotte, NC15y exp
Bank of America
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IK

Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms

Orlando, FL9y exp
EY
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CS

Director of Technology Delivery specializing in Agile transformation and enterprise programs

Dallas, TX8y exp
MTX
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FK

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

Bristow, VA9y exp
Bank of America
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PA

Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)

Toronto, Canada6y exp
The Home Depot
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TS

Senior Full-Stack Developer specializing in cloud-native microservices (AWS)

Irving, TX8y exp
U.S. Bank
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SH

Sai Haritha Sardena

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML

Remote, USA7y exp
Tylmen TechNorthern Arizona University

Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.

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BH

Bryan Holland

Screened ReferencesStrong rec.

Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems

SF Bay Area, CA11y exp
MAGICSEVEN AIUniversity of Michigan

Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).

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VS

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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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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VK

Vamsi Koppala

Screened

Mid-level Machine Learning Engineer specializing in Generative AI and RAG systems

Barrington, IL4y exp
ComericaTexas Tech University

LLM/ML engineer who has shipped an enterprise RAG-based Q&A system (LangChain/LlamaIndex, FAISS + Azure Cognitive Search, GPT-3.5/4 via OpenAI/Azure OpenAI) to production on Docker + Kubernetes/OpenShift, tackling hallucinations, retrieval quality, latency/cost, and RBAC/IAM security. Also partnered with operations leaders to turn manual reporting into an LLM-powered summarization and forecasting dashboard driven by real KPIs and iterative stakeholder feedback.

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NN

Nasim Nasrin

Screened

Senior QA Engineer specializing in test automation and API testing

Los Angeles, CA8y exp
City National BankJadavpur University

QA automation engineer who built and maintained a Selenium WebDriver + Java hybrid framework (data/keyword-driven) using POM, TestNG, and Maven, and integrated it into CI with PR gating and nightly regression. Strong focus on stabilizing flaky tests (wait strategies, locator robustness, test data control) and caught a critical UI/backend mismatch that could have caused duplicate money transfers before release.

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SR

Senior Cloud/DevOps Engineer specializing in Azure, Kubernetes, and Infrastructure as Code

Virginia, US5y exp
Electrify AmericaGeorge Mason University

Azure cloud platform engineer with strong enterprise Linux operations background who designs multi-region HA/DR on Azure (and AWS) using Azure Site Recovery, Traffic Manager, AKS autoscaling, and geo-replicated Azure SQL. Built secure Azure DevOps CI/CD pipelines for .NET/Python microservices to AKS/VMs and provisions full environments via Terraform modules with remote state, drift checks, and staged rollouts; has not directly owned IBM Power/AIX at scale.

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AH

Austin Hobby

Screened

Junior Game Designer specializing in Unreal Engine systems and level design

Orlando, FL
DisneyFull Sail University

Game developer/team lead on the FPS zombie project "Dreadful" who wore many hats (project management, systems/level/UI design, AI assist, QA) and iterated heavily via playtests and heatmap data. Built and tuned UE5 Blueprint-based crowd-control/gravity abilities with cooldowns and actor filtering, and made scope-smart feature swaps by reusing existing systems to hit deadlines.

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NT

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

Atlanta, GA6y exp
VisaMissouri University of Science and Technology

Software engineer with payments-domain experience (Visa) building real-time transaction monitoring and analytics systems. Strong end-to-end ownership across Spring Boot/Kafka microservices, PostgreSQL modeling, and AWS/Kubernetes operations, plus React+TypeScript dashboards—focused on low-latency processing, secure APIs, and zero-downtime production releases.

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