Freelance AI Developers in FullertonFreelance AI Developers in Fullerton
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Will Gordon's avatar
Will Gordon
Tustin, USA
AI and Boring SaaS Guy.
    $25k+
    Earned
    3x
    Hired
    5.0
    Rating
    71
    Followers
BUBBLE_EXPERT

expert

AI and Boring SaaS Guy.
Cover image for Here we go! Android Notes -
Here we go! Android Notes - Notes and meeting summary app. Almost as good as Granola but built on Bubble. Speaker labels for multiple parties in convo, chat with note, summary, next steps, status, folders, just about everything you could want. But more importantly... Note Intelligence! Draw correlations between your notes you maybe were not aware of (why I built the app). Started this in May of last year and decided to dust it off for the challenge. Sweet promo vid coming soon! Will share the link in a few. Thanks!
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4
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Cover image for SameSame: Social App on Bubble + OpenAI
SameSame: Social App on Bubble + OpenAI
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33
Cover image for AI Office Bot - Bubble.io, OpenAI, SendGrid, JavaScript.
AI Office Bot - Bubble.io, OpenAI, SendGrid, JavaScript.
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25
Cover image for Mint UGC - NextJS, OpenAI, FalAI, FireCrawl & Social APIS
Mint UGC - NextJS, OpenAI, FalAI, FireCrawl & Social APIS
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97
AI Developer(4)
Aurelien GERIER's avatar
Aurelien GERIER
proLos Angeles, USA
Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
    $50k+
    Earned
    7x
    Hired
    4.9
    Rating
    133
    Followers
TOP_INDEPENDENT

Top

Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
Cover image for Breakjobs.ai
Breakjobs.ai
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80
Cover image for Traklist
Traklist
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96
Cover image for Led delivery of a cloud-native
Led delivery of a cloud-native K-12 student wellness platform that helps counselors monitor wellbeing, surface at-risk students, and act early—balancing product velocity with FERPA/COPPA-aware design and multi-tenant isolation (API RBAC, PostgreSQL RLS, district-scoped analytics). → Owned technical direction and delivery rhythm across a TypeScript monorepo (pnpm/Turbo): backend API, web app, shared packages, DB migrations, CI/CD gates, and staged deploys to GCP (e.g. Cloud Run), aligning engineering work with roadmap and release risk. → Orchestrated an AI assistant for counselors on Google Vertex AI (Gemini): system prompts, safety settings for K-12, function-calling tool design, multi-round tool loops, and strict separation so UI widgets render from verified tool results—not model hallucinations—with tracing/feedback hooks (e.g. Langfuse) for quality and auditability. → Drove access-control and compliance posture for sensitive student data: role/permission middleware, tenant-scoped queries, and defense-in-depth database policies—documentation and evidence suitable for enterprise security reviews (e.g. SOC 2–style narratives). → Partnered on product and program management: phased feature rollout, PR/branch discipline, and clear ownership of scope vs. risk so pilot schools could onboard without compromising data boundaries. → Shaped integrations and platform boundaries: Firebase auth, Neon PostgreSQL + Drizzle ORM, real-time patterns, BigQuery analytics isolation, and operational practices (testing, lint, type-check) that keep the stack maintainable at scale. → Established a disciplined, AI-accelerated delivery model—not ad-hoc prompting: Cursor rules and Claude skills/agents for repeatable workflows; Husky + lint/type-check/test gates; GitHub Actions CI/CD; Cursor Cloud Agents for automated PR review; and daily monitoring of E2E, coverage, and critical issues—owning AI-orchestrated implementation while enforcing accuracy, consistency, and observability
1
594
Cover image for WhatsApp & RCS Integrated Platform for ParaVet.live
WhatsApp & RCS Integrated Platform for ParaVet.live
1
51
AI Developer(2)
Christine Straub's avatar
Christine Straub
Irvine, USA
Full-Stack AI/ML Software Engineer
    $50k+
    Earned
    1x
    Hired
    5.0
    Rating
    80
    Followers
Full-Stack AI/ML Software Engineer
Cover image for Brandblast AI
Brandblast AI
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132
Cover image for Computerized Adaptive Exam Platform
Computerized Adaptive Exam Platform
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103
Cover image for Empowering Pineapple Farmers through Drone Imagery Analysis
Empowering Pineapple Farmers through Drone Imagery Analysis
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186
Cover image for Analyzing Urban Environments through Satellite Imagery
Analyzing Urban Environments through Satellite Imagery
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64
AI Developer(6)
Yonatan Tesfaye's avatar
Yonatan Tesfaye
proLos Angeles, USA
Senior Full Stack & AI Automation Engineer
    15
    Followers
Senior Full Stack & AI Automation Engineer
Cover image for Nova4AI Command Center Most AI agent
Nova4AI Command Center Most AI agent products give you one assistant and a text box. Nova4AI gives you a fleet you can watch work. Ten specialists run as a team a Researcher, a Coder, a Designer, a QA reviewer, an Archivist, a Prospector, an Optimizer with Navi orchestrating: routing tasks, running standups, pulling teammates into threads with an @mention. Every agent takes voice input. The core of the build is the Live Feed. Agent-to-agent handoffs stream in real time, each carrying a task ID, trace ID, source system, and timestamp. When Kenzo passes work to Relay, you see the message and can follow the trace. Multi-agent systems usually fail silently and invisibly; this one is auditable by default. Around the fleet sits the actual business surface: CRM and lead pipeline, proposals, performance analytics, projects, a shared memory layer, docs, and a skills registry. Agents write real artifacts to real endpoints and integrate outward through MCP and n8n. At the time of this screenshot: 10,983 activities in a day, 5,017 feed messages, 110 tasks open and 42 closed. Built so you can hand work to a team and still know exactly what happened.
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Cover image for Fundory — Grant Intelligence for
Fundory — Grant Intelligence for Nonprofits Grant funding runs on a brutal arithmetic: most applications fail, and the ones that fail still cost weeks of a small team's time. Nonprofits with two or three staff are spending that time writing into opportunities they were never positioned to win. Fundory attacks the problem upstream. Instead of helping organizations write faster, it decides what's worth writing at all. Every discovered grant is screened against the organization's actual profile and returned with a fit score, so a 65% never consumes the effort a 91% deserves. The product states its threshold plainly: apply above 85%. The pipeline runs Discovered → Screened → Waiting for Approval → Drafted → Closed, with AI moving work forward and humans holding the approval gate. Drafted proposals carry two separate scores — model confidence and draft quality — because those measure different risks and collapsing them would hide the one that matters. I built the screening and scoring layer, the document and narrative system that grounds drafts in the organization's real history, and the pipeline that keeps 28 live opportunities legible to a team without a grants department. Honest signal over generated volume.
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Cover image for Bench — AI Agents for
Bench — AI Agents for Small Teams Solo founders don't lack AI tools. They lack the people who would use them. Most products hand you a blank text box and quietly make you the operator so the inbox still doesn't get triaged and the content calendar still doesn't get built. Bench inverts that. Instead of a chat interface, it's a hiring interface. You staff a bench of role-trained specialists — an Executive Assistant, a Lead Generator, a Social Media Manager, a Marketing Manager — each scoped to real responsibilities with its own tool access and definition of done. They work in the background and report status: working, done, needs review. I built the agent orchestration behind it, the role definitions that keep each specialist in its lane, and the review layer that surfaces anything consequential before it ships. Drafts land in the founder's voice. Nothing gets sent without a human seeing it first. The design constraint throughout was trust. Multi-agent systems fail when they act confidently in the wrong direction, so the product is architected around visible work and cheap correction rather than silent autonomy. Built for the smallest teams to deploy what used to require a payroll.
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166
Cover image for An n8n pipeline that monitors
An n8n pipeline that monitors prospect social accounts, decides what's worth responding to, drafts on-brand comments with Claude, and posts them through a real browser session with human review built in.
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158
AI Developer(3)
Kevin Minn's avatar
Kevin Minn
Los Angeles, USA
Full stack engineer. Healthcare AI, FHIR,iOS, and Security.
New to Contra
Full stack engineer. Healthcare AI, FHIR,iOS, and Security.
Cover image for Nourished by Mira is an
Nourished by Mira is an iOS nutrition coach for people who want to lose fat without losing muscle, especially people on GLP-1 medications like Ozempic. It builds protein-first meal plans and grocery lists, tracks body composition, and adjusts portions around where someone is in their medication cycle, so the plan still works on days when appetite is low. Mira, the in-app coach, writes the meal plans and talks people through their day, with a real voice. The app also tracks medication doses with reminders, can scan a prescription bottle label, and can put together a report to share with a doctor. I built the whole app in Swift and SwiftUI, plus the backend on AWS: serverless functions, a user database, sign-in, and the AI that writes meal plans on Amazon Bedrock. It’s live on the App Store.
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40
Cover image for Amyneion helps community doctors bring
Amyneion helps community doctors bring autoimmune clinical trials to their own patients. It pulls recruiting trials from ClinicalTrials.gov (http://ClinicalTrials.gov) and the EU trials registry and turns each trial’s eligibility rules into checks that a person reviews and approves. Then it reads a practice’s health records over FHIR and shows the care team which patients qualify, or are one lab or one visit away. Every yes, no or unknown comes with a plain-language reason, and missing data gets flagged instead of quietly ruling someone out. I built all of it: the matching engine, the trial ingest, the FHIR reader, a navigator case book, the clinic Console and the sponsor reporting. It runs on Python, FastAPI and PostgreSQL, hosted on AWS. It can also run fully offline on a clinic’s own machine, with notes read by a model on that machine’s hardware. It has been tested against the Epic and Oracle Health sandboxes, and everything runs on synthetic patients. No real patient data has ever touched it.
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64
Cover image for Project AIR is an open-source
Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened. It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code. I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io (http://vindicara.io) is recorded and anchored to Rekor every minute.
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Cover image for Motium is an AI interviewer
Motium is an AI interviewer for hiring. Candidates sit down face to face with Wren, a talking video interviewer, and have a real conversation about the role instead of filling out a form. Wren is paid by the employer but works for the candidate: the job is to find what each person is unusually good at and make sure the hiring manager sees it. Every role interviews for the same fixed skills, so candidates can be compared fairly, but the questions are written fresh for each person. After the call, the hiring manager gets a clear recommendation with the reasons behind it, plus a video recording of the interview. Every question, answer and verdict is signed and hash-chained, so the record can be checked later and can’t be quietly changed. Fairness rules live in the code, not in a policy doc: nothing is scored before consent, and an interview can’t be cut short early without a review. I built the server that runs Wren’s side of every turn, the live video face running on GPUs, the employer dashboard, Studio 11 (a short spotlight show for recognizing employees), and Pete, a built-in help assistant. It runs on Claude through the Claude API and Amazon Bedrock, with ElevenLabs for voice.
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85
AI Developer(2)
Cheikh Gueye's avatar
Cheikh Gueye
Los Angeles, USA
I design and build scalable web and app products end-to-end.
    3.0
    Rating
    5
    Followers
I design and build scalable web and app products end-to-end.
Cover image for AgRisk – Digital Farmer Profiling
AgRisk – Digital Farmer Profiling & Risk Assessment Platform AgRisk is a platform we built to help agricultural partners, lenders, and organizations better evaluate and support smallholder farmers. Farmers complete a simple digital application, and the system captures key data such as identity details, farm information, location coordinates, land size, and activity type. The platform then structures this data into a clear farmer profile and risk overview that partners can use for decision-making, monitoring, and eligibility assessment. The result is a scalable digital infrastructure that makes it easier to identify legitimate farmers, assess risk, and deploy capital or resources more efficiently in agriculture.
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Cover image for Tabasite – Guided Website & Platform Builder. Tabasite is a ...
Tabasite – Guided Website & Platform Builder. Tabasite is a platform we built for a client who wanted to make it easy for non-technical users to launch digital products without needing to understand web development. Instead of forcing users to design or configure complex tools, Tabasite uses a simple guided form that walks customers through key questions about their business, goals, features, and content. Once completed, the system automatically generates a clear, structured project brief containing everything a development team needs. This allows projects to move straight into development with minimal back-and-forth, reducing confusion, delays, and cost. The result is a faster path from idea to launch for everyday business owners with little to no digital experience.
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Cover image for Auto Apply – Automated Bank Onboarding & KYC Platform. Auto ...
Auto Apply – Automated Bank Onboarding & KYC Platform. Auto Apply is a platform we built to help banks and financial institutions onboard new customers in minutes instead of hours. Customers complete a single digital form, and the system automatically generates all required onboarding documents, extracts identity data from IDs, performs KYC and sanctions checks, and returns a structured customer profile for instant review. The result: faster account opening, reduced manual work for bank staff, improved compliance, and a significantly better customer experience.
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Cover image for Brio – Rewards & Merchant Growth Platform for Banks Brio is ...
Brio – Rewards & Merchant Growth Platform for Banks Brio is a platform we built that enables partner banks to offer a rewards-based card experience to their customers. The system automatically tracks customer spending and converts transactions into points in real time. Customers can then redeem those points for discounts and offers with merchants that are part of the network . On the other side of the platform, merchants can create business accounts to join the ecosystem, publish offers, and gain access to a larger and more targeted stream of customers. The result is a full rewards infrastructure that drives loyalty, higher usage, and measurable growth across banks and local businesses.
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113
AI Developer(3)
Tyler Plummer's avatar
Tyler Plummer
Los Angeles, USA
Full Stack Developer (Gen AI, LLM, RAG, Web3 Integration)
Full Stack Developer (Gen AI, LLM, RAG, Web3 Integration)
Cover image for AI-Powered Assistant for Patients
AI-Powered Assistant for Patients
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7
Cover image for AI- IT Service Management, MVP
AI- IT Service Management, MVP
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8
Cover image for Conversational IVR
Conversational IVR
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8
Cover image for PipZero, Trading/Bot
PipZero, Trading/Bot
0
5
AI Developer(3)