Vetted UI/UX Design Professionals

Pre-screened and vetted.

AS

Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps

Cambridge, MA2y exp
HubSpotUSC
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MS

Executive CTO/CPO and Product & Technology Leader specializing in Healthcare SaaS and AI/ML

Atlanta, GA18y exp
Davesa Health LLCUniversity of Alabama in Huntsville
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AS

Senior Technical Product Manager specializing in cloud platforms and full-stack engineering

9y exp
PwCSan Francisco State University
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SP

Staff Salesforce Engineer specializing in enterprise CRM and integrations

New York, NY6y exp
CitadelUniversity of Central Missouri
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LW

Senior Software Engineer specializing in data platforms and FinTech/SaaS systems

Boston, MA13y exp
KlaviyoUniversity of Connecticut
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Daniel Jeong - Junior Full-Stack Engineer specializing in real-time platforms and AI tools in Cambridge, MA

Daniel Jeong

Screened

Junior Full-Stack Engineer specializing in real-time platforms and AI tools

Cambridge, MA3y exp
DraperColgate University

Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.

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JC

Mid-Level Software Engineer specializing in full-stack TypeScript/React and platform tooling

Sunnyvale, CA2y exp
WalmartNYU
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PM

Junior Software Engineer specializing in backend microservices and network observability

San Francisco, CA2y exp
CiscoNortheastern University
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SK

Senior Product/UX Designer specializing in enterprise UX, AI, and modern interfaces

Santa Clara, California8y exp
AryakaUniversity of Colorado Boulder
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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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Caroline Cahill - Senior Graphic Designer specializing in brand campaigns, marketing design, and art direction in New York City, NY

Senior Graphic Designer specializing in brand campaigns, marketing design, and art direction

New York City, NY4y exp
ErnestaFashion Institute of Technology

Marketing creative/art director and designer with portfolio work for Glossier, Vox Media, and Bobbi Brown, focused on premium, modern brand storytelling. Builds scalable Figma systems and modular templates for high-volume cross-platform campaigns (social/paid/e-comm) and pairs them with a fast, template-driven video workflow, iterating based on performance signals while maintaining brand guardrails in fully remote async collaboration.

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ZS

Junior Machine Learning Engineer specializing in AI, computer vision, and data systems

Los Angeles, CA2y exp
WiDeS Lab, USCUSC

Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).

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John Krikorian - Senior Software Engineer specializing in AR, UI/UX, and interactive applications

Senior Software Engineer specializing in AR, UI/UX, and interactive applications

12y exp
SnapThe Art Institute of California, San Diego

AR/Unity-focused engineer who built a multi-user whiteboarding app for smart glasses, including vector-based collaborative drawing, spatial object persistence, and a voice-driven AI assistant that could manipulate the scene through custom tools. Their work spans real-time networking, spatial UX, and LLM integration, with systems robust enough that some features were reused by other developers internally.

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SG

Sindhu Gunti

Screened

Mid-level Full-Stack Java Developer specializing in cloud microservices and AI-driven platforms

Remote, USA5y exp
IntuitChristian Brothers University

Software engineer with Intuit experience shipping an end-to-end real-time financial insights product on AWS, using event-driven architecture with Kafka and Spark Streaming to process millions of records with low latency. Also delivers customer-facing React + TypeScript dashboards and has hands-on production operations experience, including resolving a database scaling incident via read replicas, query tuning, and connection pooling.

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AS

Aayushi Singh

Screened

Intern AI/ML Engineer specializing in robotics and computer vision

Los Angeles, CA0y exp
BoltIOTUSC

Worked on Sophia the humanoid robot, building production animation pipelines and enhancing human-robot interaction via perception and behavior orchestration. Experienced in stabilizing noisy perception-driven state transitions and designing smooth, user-centered behavioral flows, collaborating closely with artists, animators, and experience designers to translate creative intent into measurable system behavior.

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RC

Senior AI Product Manager specializing in ML, automation, and generative AI

Auckland, New Zealand7y exp
Crimson EducationColumbia University

AI Product Manager who also operates as a product marketer/CRM lifecycle lead, focused on behavior-driven onboarding and retention. Has delivered measurable growth through segmentation, multi-channel lifecycle programs, and experimentation (e.g., activation +23%, TTFV -30%, retention +14%), and led a cross-functional chatbot integration that improved course completion (+23%) while reducing refunds (-15%).

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Thomas To - Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech in Emeryville, CA

Thomas To

Screened

Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech

Emeryville, CA6y exp
Canventa Life SciencesUC Davis

AI/ML full-stack practitioner in a small-scale manufacturing/lab operations environment who deployed a production ML system to improve blood cell order fulfillment by predicting yield/success from donor characteristics. Experienced building custom multi-agent orchestration (Python, LangChain/LangGraph, MCP) and balancing reliability, data quality constraints, and token/ROI economics while communicating tradeoffs to VP-level business stakeholders.

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xiaowei guo - Junior Game Designer specializing in AI-driven systems and interactive narrative in Irvine, CA

xiaowei guo

Screened

Junior Game Designer specializing in AI-driven systems and interactive narrative

Irvine, CA2y exp
PetchNortheastern University

Game economy/progression designer who owned an end-to-end multi-currency economy for a top-down kitchen management sim, balancing cash/reputation/XP with sinks like spoilage, maintenance, and rent. Uses telemetry + structured playtests and spreadsheet simulations to tune pacing, reduce mid-game churn, and prevent late-game inflation by adjusting efficiency/skill curves and phase-based balancing.

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Sragvi Vadali - Junior Software Engineer specializing in AI/ML and real-time systems

Sragvi Vadali

Screened

Junior Software Engineer specializing in AI/ML and real-time systems

2y exp
University of Southern CaliforniaUSC

Backend/AI engineer who built a real-time vector database system for high-frequency financial data using Kafka/Flink on Kubernetes, achieving sub-100ms similarity search at 10k+ concurrent load and resolving tricky duplication issues with idempotency/versioning. Also shipped an end-to-end LLM-based travel itinerary feature (profiling + prompt workflows + APIs) with a focus on quality consistency and low latency.

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SaiTeasmitha Kaja - Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and cloud microservices in Houston, TX

Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and cloud microservices

Houston, TX4y exp
HPEUniversity of Houston

Backend-focused Python/Flask engineer who has built authentication/profile services with clean modular architecture (blueprints + service layer) and tuned SQLAlchemy/Postgres for scale using indexing, query rewrites, and pagination. Has production-style integration experience for AI/ML via TensorFlow Serving and OpenAI APIs (batching, rate limiting, caching), plus multi-tenant data isolation and high-throughput background processing with Celery/Redis and idempotent jobs.

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MD

Intern Full-Stack Software Engineer specializing in web, mobile, and accessibility

Los Angeles, CA0y exp
Lumina Health InstituteUSC

Full-stack engineer who has built and shipped production Next.js (App Router + TypeScript) applications end-to-end, including an authenticated dashboard with protected routing and post-deploy troubleshooting. Designed Postgres schemas for collaboration/analytics (users/workspaces/sessions/events) and achieved ~60% query-time reduction through indexing and query-plan-driven optimization, with a strong emphasis on accessibility and server-first React architecture.

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JL

Director-level Full-Stack Engineer specializing in web platforms and APIs

New York, NY26y exp
8 Bit Bricks LLCNJIT

Built Bargain Bricks end-to-end as a solo creator, handling product ideation, design, backend, APIs, website, and native iOS/Android apps. They actively maintain and iterate on the product, which has over 1,000 downloads, and have improved conversion through UI changes that surfaced the best deal above the fold.

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MS

Mihir Sahu

Screened

Intern software engineer specializing in AI, full-stack, and applied ML

Madison, WI1y exp
Capital OneUniversity of Wisconsin–Madison

Backend/ML-focused engineer with experience spanning fintech, sales enablement, and medtech, including a Capital One capstone and a Singapore medtech startup internship. Stands out for owning end-to-end AI/backend systems, from a GenAI sales pitch platform that cut prep time by 50% to an ultrasound-guidance MVP for non-expert operators in a highly ambiguous domain.

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