Freelance Fullstack Engineers in Palo AltoFreelance Fullstack Engineers in Palo Alto
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Andrew Gray's avatar
Andrew Gray
Palo Alto, USA
Silicon Valley Staff Software Engineer
$10k+
Earned
1x
Hired
5.0
Rating
14
Followers
Silicon Valley Staff Software Engineer
Cover image for Just Enough Prep - AI powered Education Platform
Just Enough Prep - AI powered Education Platform
2
51
Cover image for SmartNews - News Aggregator Mobile App
SmartNews - News Aggregator Mobile App
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25
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Software engineering and machine learning coach
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37
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Figma Token Studio - Figma Plugin
0
21
Fullstack Engineer(1)
Hikari Builds's avatar
Hikari Builds
San Jose, USA
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
7
Followers
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
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AI Marketing Attribution SaaS with CRM & Revenue Tracking I built PeoplePixel, an AI-powered SaaS platform designed to help businesses turn anonymous website traffic into identifiable leads and measurable revenue. The core problem was that most websites lose the majority of their visitors as “ghost traffic” without any way to identify, follow up, or measure impact. PeoplePixel solves this by combining visitor identification, CRM integration, and revenue attribution into one unified system. I designed and developed the platform end-to-end using Next.js, TypeScript, and Supabase, building a multi-tenant SaaS with authentication, team workspaces, billing, and secure data access using Row-Level Security. A key part of the product is the free traffic audit funnel. Users can enter their website URL to receive an automated analysis of missed revenue opportunities using Firecrawl and DataForSEO. This creates a strong entry point into the platform and drives conversion into the full product. On the data side, I integrated IntentWave for visitor identification and GoHighLevel as the CRM layer, syncing contacts, outreach activity, and purchase data. I then built a custom attribution engine that matches visitors to revenue using confidence-based scoring derived from email, SMS, and call engagement signals. The system runs on background pipelines using scheduled jobs and webhook ingestion to continuously process attribution data and update reporting in near real-time. The final product provides a complete ROI dashboard, including visitor insights, attributed revenue, funnel analytics, and pipeline performance, enabling businesses to clearly understand and recover lost revenue. This project highlights my ability to design and build complex SaaS platforms that combine data pipelines, third-party integrations, and product-driven user experiences into a cohesive system.
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173
Cover image for Gribbit – Real-Time Crypto Community
Gribbit – Real-Time Crypto Community Platform with On-Chain Analytics I built Gribbit, a full-stack crypto community platform that unifies on-chain data, real-time interaction, and social features into a single dashboard. The goal was to reduce fragmentation in crypto communities by combining price tracking, discussions, and content discovery into one cohesive experience. I developed the platform end-to-end using Next.js, TypeScript, and Supabase. It includes live token metrics, real-time chat, a community board, and curated content in a responsive, high-performance app. For on-chain data, I integrated Moralis Streams to process live swap activity into structured data powering trade feeds, wallet tracking, and Pulse dashboards. I also used DexScreener for real-time price, liquidity, and volume data. On the community side, I built real-time chat with Supabase Realtime and a Reddit-style board with posts, comments, voting, and moderation. I also created a “lore” system for curating and preserving important content. The platform emphasizes user experience with a responsive dual-layout dashboard, smooth animations, and performance optimizations for handling live updates. This project demonstrates my ability to build complex, real-time, full-stack applications that integrate external data and deliver a polished user experience.
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2
194
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Enterprise AI Search System with Embeddings, Pipelines & Widget Builder I worked as a Full Stack Engineer at Gloo, contributing to the architecture and development of an AI-powered discovery widget designed for large-scale content platforms. The product is an embeddable search system that enables semantic content discovery across podcasts, sermons, articles, and other media, allowing organizations to surface relevant content through intent-based search rather than traditional keyword matching. I helped design and build the system end-to-end, working across frontend, backend, and data infrastructure. On the frontend, I developed a modular widget and configuration system using Next.js, TypeScript, and modern UI tooling, enabling partners to integrate the search experience with a single script tag. A key part of the project was the widget builder interface. I built a multi-step configuration system with live preview, allowing non-technical users to customize layout, data sources, API keys, and embedding behavior in a simple and intuitive workflow. On the backend and data layer, I implemented ingestion pipelines to process large volumes of publisher content via RSS feeds. This included generating embeddings, enriching metadata, and preparing data for semantic retrieval, enabling domain-specific AI search across diverse content types. The search system itself was built using a hybrid approach. I combined vector-based semantic search using Weaviate with high-speed autocomplete and indexing via Typesense, resulting in accurate intent-based results alongside instant query suggestions. I also contributed to system reliability and observability by integrating analytics and monitoring tools, enabling detailed tracking, debugging, and performance optimization across deployments. The result is a scalable, production-grade AI search platform that can be embedded into external sites with minimal effort, providing powerful discovery capabilities backed by modern AI infrastructure. This project highlights my ability to design and build complex AI systems that combine frontend experience, backend architecture, and data pipelines into a cohesive, high-performance product.
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112
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I led the development of MyOfLink as founding engineer, building a full-scale SaaS platform designed to help creators and businesses manage their online presence through advanced link infrastructure, analytics, and monetization. The goal was to go beyond traditional “link-in-bio” tools by creating a high-performance platform that improves engagement, tracks user behavior, and enables scalable monetization. I architected and built the platform end-to-end using Next.js, TypeScript, and Tailwind CSS, leveraging server-side rendering and React Server Components to significantly improve performance. The result was a fast, responsive product achieving a 95–98+ Lighthouse score and noticeably reduced load times. A core innovation was the deep-linking system. I engineered a solution to bypass in-app browser limitations on platforms like Instagram, Reddit, and TikTok using intelligent user-agent detection and platform-specific routing. This improved link conversion rates and overall user engagement by approximately 40 percent. I also built a real-time analytics dashboard to give users actionable insights into their traffic and performance. This included click-through rates, conversion metrics, and geographic data, enabling more informed decision-making for creators and businesses. On the monetization side, I implemented a full Stripe-based billing system with subscription tiers, usage-based pricing, and webhook-driven automation. The checkout experience was designed to be seamless, secure, and optimized for conversion. The final product is a high-performance SaaS platform that combines advanced linking technology, real-time analytics, and scalable monetization into a single cohesive system. This project highlights my ability to design and deliver complex SaaS products from the ground up, with a strong focus on performance, user experience, and real business outcomes.
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80
Fullstack Engineer(6)
Lucas Lu's avatar
Lucas Lu
San Jose, USA
Experienced Fullstack Engineer with 15+ Years
Experienced Fullstack Engineer with 15+ Years
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View My ID healthcare product site
0
19
Cover image for Cloud based pharmacy reporting system
Cloud based pharmacy reporting system
0
5
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Gulfport Police Website
0
14
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Fullstack Engineer(2)
Sondhayni Murmu's avatar
Sondhayni Murmu
Oakland, USA
Designer/Engineer/Maker
Designer/Engineer/Maker
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Design Systems Case Study
0
0
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Discord Waypoints
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0
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Contentfill
0
0
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Fullstack Engineer(1)
Marvin Pallones's avatar
Marvin Pallones
Santa Clara, USA
Experienced React & Next.js developer optimizing responsive.
Experienced React & Next.js developer optimizing responsive.
Cover image for I independently built TrueCar, a full-scale automotive marke...
I independently built TrueCar, a full-scale automotive marketplace platform designed to simplify how people buy and sell cars. The website enables users to research new and used vehicles, compare real-time market pricing, explore financing options, and connect directly with trusted dealers—all through a clean, data-driven user experience. From planning and architecture to design and development, I handled the entire build with a focus on transparency, performance, and usability, ensuring users can make confident car-buying decisions with minimal friction.
15
132
Cover image for Front-End Development for Nomad Goods E-Commerce Website
Front-End Development for Nomad Goods E-Commerce Website
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6
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Flexible Business-Websites & B2B-Webapps fĂĽr Wachstum- Evelan
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3
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38% OFF ULTRA BELTS
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4
Fullstack Engineer(1)
Calvin Moldenhauer's avatar
Calvin Moldenhauer
Dublin, USA
Design Engineer: Design with precision, Engineer with Flair!
Design Engineer: Design with precision, Engineer with Flair!
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Pet Adoptions
1
8
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MCP LLM Chatbot
1
5
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3D designed Lampshade
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6
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Fullstack Engineer(2)