Vetted Agile Professionals

Pre-screened and vetted.

BU

Senior Business Systems Analyst & QA/UAT Lead specializing in loan and PeopleSoft systems

Long Beach, California, USA23y exp
NakupunaCalifornia State University, Long Beach
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JK

Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems

Jersey City, NJ5y exp
JPMorgan ChaseSaint Peter's University
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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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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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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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Anthony Odinukwe - Senior Full-Stack Engineer specializing in React/Next.js web applications in Calgary, Canada

Anthony Odinukwe

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in React/Next.js web applications

Calgary, Canada6y exp
WestJetBow Valley College

Frontend-focused engineer who has led end-to-end delivery for an ecommerce web app and built complex React + TypeScript dashboards with real-time data and multi-step workflows. Strong in scalable architecture (typed API layers, shared hooks, design systems), quality at scale (Jest/RTL + Playwright), and performance optimization (virtualization, lazy-loading, memoization). Experienced shipping high-impact checkout changes via feature-flagged rollouts with metric/error monitoring and rapid iteration.

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CZ

conghu zhao

Screened ReferencesStrong rec.

Senior Software Developer specializing in AR/VR, computer vision, and mobile graphics

Redmond, WA18y exp
NOMADGODigiPen Institute of Technology

Unity/C# engineer with hands-on experience building cross-platform VR/mobile prototypes at Verizon Labs, including a networked VR cinema and virtual office application. Particularly strong in performance engineering: they describe custom update architecture, shader work, and low-level iOS optimization that enabled 60 FPS while rendering HD video textures and running voice chat simultaneously. They also bring adjacent computer vision integration experience from Nomad-Go, with a practical focus on latency, inference/render separation, and data consistency.

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SA

Sharath Addepalli

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in Python microservices and scalable web APIs

Franklin, TN3y exp
NissanUniversity of Florida

Backend engineer who replaced an Excel-heavy forecasting workflow with a secure, auditable FastAPI system (React UI + relational model + async workers), emphasizing deterministic processing, idempotency, and versioned ledger-style ingestion. Led a monolith-to-FastAPI migration at Bounteous using a strangler approach, feature-flagged incremental rollout, and data reconciliation/shadow-compare to protect integrity while scaling onboarding workflows.

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NH

Nabil Hamid

Screened ReferencesStrong rec.

Staff Full-Stack Software Engineer specializing in Healthcare and Retail web apps

San Francisco, CA11y exp
AccentureSan Francisco State University

Healthcare-focused software engineer/lead who has delivered customer-facing portals and internal call-center tools, including rebuilding a legacy Adobe Flash call center app into a modern TypeScript frontend with NgRx state management. Experienced leading onshore/offshore teams, integrating healthcare APIs, and driving adoption by visiting call centers to capture user workflows and bake them into regression testing—work that proved especially valuable during COVID-era shifts to video appointments.

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Reza Mawardana - Mid-level Software QA Engineer specializing in Insurance and HRIS, transitioning to SDET

Reza Mawardana

Screened ReferencesStrong rec.

Mid-level Software QA Engineer specializing in Insurance and HRIS, transitioning to SDET

7y exp
BizCoverGadjah Mada University

QA-minded candidate with unusually deep, self-driven experimentation in game mechanics (RNG and EXP optimization) using emulators and save-state methodology, translating that same rigor into production release verification and bug triage practices. Has experience in embedded QA and proactively proposed a centralized QA model with sharing sessions to improve coverage during absences; uses AI tools to speed up Jira documentation and test case creation.

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Vaishnavi Kashyap - Junior Full-Stack Software Engineer specializing in web platforms and sustainability analytics

Vaishnavi Kashyap

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in web platforms and sustainability analytics

1y exp
Saint-GobainUniversity of Massachusetts Amherst

Full-stack/backend engineer who owned a production digital assembly planning platform at Saint Gobain end-to-end (React/Node/Postgres), maintaining 99.9% uptime across 5 factory sites and driving a reported 90% improvement in factory-floor coordination. Also built and operated BigQuery + Vertex AI (ARIMA) forecasting/data pipelines processing 1M+ datapoints daily, with strong emphasis on idempotency and data-quality validation to prevent incorrect outputs.

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LD

Lew Donley

Screened ReferencesStrong rec.

Senior Creative Design & Innovation Leader specializing in brand strategy and human-centered design

Normal, IL18y exp
TriMasIllinois State University

Creative director/designer spanning high-polish marketing brand work and enterprise innovation: built a full podcast brand ecosystem and a cinematic historical visualization using Google Veo 3. Also led an AR/VR-assisted remote troubleshooting initiative at TriMas (HoloLens-style workflows), delivering a 40% MTTR reduction and cutting expert travel by 50%+ while standardizing reusable interaction components for global teams.

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Rob Wlaschin - Director-level Engineering Manager specializing in AI platforms, FinTech, and Healthtech in Santa Clara, CA

Rob Wlaschin

Screened ReferencesStrong rec.

Director-level Engineering Manager specializing in AI platforms, FinTech, and Healthtech

Santa Clara, CA24y exp
Tifton PartnersCalifornia State University, Fresno

Serial entrepreneur building three distinct products: a context-aware AI chatbot, a connected TV companion-screen platform with an implementation client, and gamerogue.net, a mobile-optimized web-based virtual tabletop marketplace currently seeking funding. Brings hands-on fundraising experience, familiarity with the VC/accelerator ecosystem including YC, and a notably pragmatic approach to validating ideas based on existing market demand rather than speculative adoption.

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suparshwa patil - Mid-level Software Engineer specializing in AI platforms and full-stack systems in Santa Clara, CA

suparshwa patil

Screened ReferencesStrong rec.

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

Santa Clara, CA4y exp
One CommunityPurdue University

Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.

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Miguel Ángel Hoyos Ramírez

Screened ReferencesStrong rec.

Mid-level Unity/XR Developer specializing in AR/VR training and WebAR experiences

Medellín, Colombia5y exp
PublicisCESDE

Unity/OpenXR VR developer who largely solo-built a Cabin Crew Member VR training simulator at Nediar, including custom two-hand interactions and complex UI on grabbable/moving objects. Demonstrates strong Quest performance optimization (Quest 1-focused culling/LOD/texture scaling) and clear knowledge of Meta Quest release requirements (AAB/ARM64, VRC/content compliance, alpha/beta channels and continuous deployment).

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VV

Vaishnavi Veerkumar

Screened ReferencesStrong rec.

Mid-level AI Engineer specializing in GenAI and RAG systems

Boston, MA4y exp
VizitNortheastern University

AI engineer who built a production e-commerce system that analyzes product images alongside sales and demographic data to generate actionable creative recommendations, now used by 20+ clients. Also built orchestrated document/agent pipelines (Airflow, LangGraph) including a compliance drift detector auditing 401 compliance documents, with an emphasis on traceability, logging, and production integration.

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Cassie Sanborn - Director-level Product Leader specializing in consumer growth and digital platforms in Rio Dell, CA

Cassie Sanborn

Screened ReferencesStrong rec.

Director-level Product Leader specializing in consumer growth and digital platforms

Rio Dell, CA13y exp
Common Sense MediaSaint Mary's College of California

Product leader with strong consumer and education-oriented product experience, including personalization, trust/safety moderation, and AI-enabled workflows. Stands out for pairing user research with measurable outcomes—such as boosting Spanish review output by 165% through AI translation—and for a thoughtful philosophy that AI should amplify human judgment and support rather than replace it.

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AU

Andree Urcuyo

Screened ReferencesModerate rec.

Director of Operations specializing in HR and global supply chain

Remote10y exp
KEYOUniversity of Chicago

Operator/program leader from Keyo who builds the “operating backbone” for fast-moving teams—OKRs/KPIs, dashboards, SOPs, and tight decision cadences. Led end-to-end initiatives spanning supply/delivery stabilization, finance reporting/forecasting inputs, vendor alignment, and company-wide SOC 2 Type II compliance with centralized audit evidence.

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Rachel Downey - Mid-Level Game Designer specializing in systems and economy design in Livermore, California

Rachel Downey

Screened ReferencesStrong rec.

Mid-Level Game Designer specializing in systems and economy design

Livermore, California4y exp
ScopelyFull Sail University

Game economy/progression designer with hands-on ownership of end-to-end systems and live-ops tuning on major mobile titles (Star Trek Fleet Command, Marvel Contest of Champions). Builds spreadsheet-based simulations and telemetry-driven tuning loops to prevent inflation and reduce progression friction, including a multi-iteration optimization that lifted D7 retention ~7% while maintaining monetization targets.

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TC

TejaSree Chiluveru

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in FinTech and cloud-native microservices

Austin, TX5y exp
JPMorgan ChaseWebster University

Built and launched an internal AI troubleshooting assistant focused on safe, retrieval-first root cause analysis for enterprise systems, with strong attention to monitoring, fallback behavior, and post-launch iteration. Also owns full-stack product work across React and Java/Spring Boot, including high-volume financial operations workflows, and reports measurable LLM improvements such as ~30-40% latency reduction.

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ES

Edward Spangenberg

Screened ReferencesStrong rec.

Director-level Brand & Motion Designer specializing in SaaS, healthcare, and AI video

Bryn Mawr, PA16y exp
Best EggThe Art Institute of Philadelphia

Marketing motion/video creative with end-to-end ownership (storyboards, design, motion, edit) and a strong performance mindset (first-frame hooks, pacing, above-benchmark watch time). Built a scalable, compliance-safe Figma design system for a Merck vaccine website with locked components and medical/legal sign-offs, and produces high-volume multi-format social video via modular CapCut/After Effects templates in a fully remote, async workflow.

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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.

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NG

Naga Gayatri Bandaru

Screened ReferencesModerate rec.

Mid-level AI/ML Engineer specializing in MLOps and production ML systems

Cleveland, Ohio3y exp
Cleveland ClinicSan José State University

Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.

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