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Vetted Agile Professionals

Pre-screened and vetted.

SS

Simon Sikora

Screened ReferencesStrong rec.

Director-level XR/Unity Application Development Manager specializing in training simulators

Warsaw, Poland13y exp
AccenturePoznań University of Technology

Unity XR/VR developer with extensive Meta Quest experience who shipped a high-performance Quest 2 training simulation for a major pharmaceutical manufacturer, emphasizing 90 FPS optimization and highly accessible, low-UI interaction design validated by elderly user testing. Built a largely solo VR game end-to-end (assets, UI, audio, optimization, input) and standardized on OpenXR with custom solutions to stay future-proof amid changing VR SDKs; has also served as lead developer and service delivery manager.

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JJ

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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NR

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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MS

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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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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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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AO

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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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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RM

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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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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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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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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RD

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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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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DG

Dean Graves

Screened ReferencesStrong rec.

Executive Business Leader in corporate strategy, M&A, and global outsourcing/SaaS transformation

Las Vegas, NV25y exp
Freeman ClarkeUniversity of Auckland

US leader for Freeman Clark (fractional IT leadership services) who drove a >$1.5M capital raise tied to repositioning the US business as a standalone entity. Previously led a turnaround at Environmental Data Resources by unifying fragmented data/SaaS platforms and landing Wells Fargo and JPMorgan Chase on significant 5-year subscriptions through co-designed solutions; also has GTM leadership experience in a PE-backed startup (LogicSource) spanning sales through delivery alignment.

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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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CD

Executive DevOps & Platform Engineering Leader specializing in cloud, SRE, and DevSecOps

Remote12y exp
Enel XNortheastern University

Fintech startup veteran (8+ years) building TrustRelay, a control-plane product between ERPs and banks to verify vendors, enforce pre-flight payout policies, automate reconciliation, and produce deterministic audit evidence. Currently at MVP stage and planning to pursue Founders Institute Boston Sprint 2026 while lining up design partners and raising pre-seed/seed.

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JF

Executive Technology Leader specializing in AI, Data Platforms, and Enterprise SaaS

24y exp
MassChallengeTufts University

Repeat early-stage startup CTO/first engineer who helped take Vettery from 0 to a $100M+ exit. Led product-oriented engineering with heavy investment in data science/ML, including a recommendations system and candidate evaluation model (90%+ predictive effectiveness), and scaled the modeling stack using parallel processing and Apache Airflow.

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ST

Mid-level Robotics & ML Engineer specializing in perception, control, and scalable systems

Mumbai, India3y exp
TCSNortheastern University

Robotics software engineer/researcher focused on perception, SLAM, and sensor fusion, with hands-on experience taking systems from simulation to embedded/real-time deployment. Led transparent-surface (glass) detection using GDNet and achieved a major real-time speedup (~7–9 FPS to ~30 FPS) while preserving >90% recall, and has built ROS-based EKF GPS-IMU fusion plus profiled/optimized Visual SLAM for performance and memory stability. Also brings production-style deployment skills via Docker/Kubernetes orchestration of ML inference services with autoscaling and model update rollouts.

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