Freelancers using Claude in Fremont

Freelancers using Claude in FremontFreelancers using Claude in Fremont

Projects People

proWalnut Creek, USA

Product & Visual Design

$1k+: Earned

2x: Hired

5.0: Rating

7: Followers

Product & Visual Design

Cover image for Here is my entry for

Here is my entry for the Renoise Challenge. If you're a fan of scifi and animals you might like it. I don't want to spoil it too much, but there is indeed a twist, so you'll just have to watch it to find out what it is. 😊 This was the first time I've heard of this platform (Renoise). I'd love to spend more time learning and exploring. I did pretty much everything text to video (Grok imagine: only first scene & rest Seedance 2.0) I burnt some credits testing out other models, but SD 2.0 seemed to be the best and then I screen capped the last frame for some continuation shots. I used ChatGPT / Claude for the scene prompts. I combined the videos in Microsoft ClipChamp. Time spent: probably an hour or two. Prompts & details in comments :)

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Cover image for Hope everyone had a great holiday! 😊 Quick update on a proj...

Hope everyone had a great holiday! 😊 Quick update on a project I am building called The Archives. The project focuses on whistleblowers, researchers, and historical figures connected to alleged advanced aerospace programs and unconventional technology. As the project grew, manually adding people and research via prompt became inefficient, so I prompted a lightweight CMS to better organize and scale the archive. I was blown away at how easy it was to do with Lovable (https://www.linkedin.com/company/lovable-dev/) and some Supabase (https://www.linkedin.com/company/supabase/) database integration. Stay tuned for more updates!

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Cover image for Working on a nice peaceful dashboard for job seekers to keep...

Working on a nice peaceful dashboard for job seekers to keep track of their applications. I took a minimalist approach on the UI but I am curious, what metrics or 'at a glance data' would be helpful for job seekers?

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Cover image for Added a custom cursor for

Added a custom cursor for spooky month hehe 😊

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177

Design Generalist / Product Strategist / AI Co-Creator

$5k+: Earned

9: Followers

Design Generalist / Product Strategist / AI Co-Creator

Cover image for Excited to submit "soundchecksf" a

Excited to submit "soundchecksf" a new and organic way to discovery live music. Link: https://soundchecksf.figma.site/ Community file: https://www.figma.com/community/file/1647490463683801916 Why this idea...I believe discovering new music these days is far too algorithmic. That said, taking a chance on seeing a live band you've never heard of has its own issues too. So I thought, what if I could build an experience that would simulate what it is like walking through an area only to hear a sound that pulls you in and creates a memory forever? This was very much inspired by what happened to me a few years back. Enter...soundchecksf where you can take a stroll through a neighborhood and hear ACTUAL live music that's coming to a place near you! This updates every night 4amPST so you're bound to discover a new sound every time you come back. How I built this...started with basically pen and paper (aka an app and Apple pen) quickly followed by planning and building a prototype with Claude. Then I used Figma Weave to build some assets and went into Figma Make to build key parts of this experience, one-by-one. After multiple rounds of polishing the UX, UI, the mobile experience, and ensuring I had accurate and functioning backend support...what has come out of all of this is something I'm proud to share. Let me know what you think and wishing best of luck to all the other participants! P.s For feasibility, UX, and credit reasons, I had to limit this to a few venues throughout certain neighborhoods in the Bay Area. Also, the artwork is loosely inspired by the place it's respresenting. I can't wait to build this out more, add more polish and yes, more cities!

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3.7K

Cover image for Visit my portfolio!

Visit my portfolio!

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Cover image for Excited to share my submission

Excited to share my submission for this! Introducing, DotPlay where you can turn any photo into an interactive shape canvas. It transforms any image into thousands of interactive shapes that respond to touch, music, and your creative choices — all built entirely in Figma Make. The concept: what if every photo could become a living, tactile surface? Upload a picture, snap a selfie, or take a burst of shots — and watch the image dissolve into a canvas of shapes you can drag, sculpt, and reshape. They spring back with physics. Turn on the beat and they pulse. Hit Listen and they react to whatever song you're playing through your mic. Switch between 5 shape types and 7 color palettes to turn the same photo into an impressionist painting, a neon poster, or a geometric mosaic. Shape your reality:: https://dotplay.figma.site

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Cover image for Animation POC

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AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python

6: Followers

AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python

Cover image for I worked as the Founding

I worked as the Founding Frontend Engineer on Umynd, an AI-powered web platform designed to help teams generate, manage, and operate AI-driven content and workflows at scale. I led the design and development of the entire frontend architecture, building a production-grade application using Next.js, TypeScript, Tailwind CSS, and shadcn/ui. The system was designed around a scalable, component-driven design system to support rapid iteration and long-term maintainability as the product evolved. Beyond the frontend, I contributed to shaping the overall platform architecture by integrating a Python-based backend powered by LangChain and ComfyUI. This enabled dynamic generation and management of AI-driven assets, effectively turning the platform into a no-code CMS for non-technical users and internal operators. A key part of my work involved building reliable engineering workflows. I implemented CI/CD pipelines using GitHub Actions, along with automated testing using Playwright and Pytest, ensuring stable releases and strong integration between frontend and backend systems. I also introduced AI-first development workflows across the team by configuring advanced Cursor setups, rule-based automation, MCP servers, and intelligent code review loops. This significantly improved development speed, collaboration, and consistency across the codebase. The result was a robust, scalable AI platform that combined strong frontend architecture, powerful backend automation, and modern development practices to support rapid product growth. I was also consistently trusted to navigate complex technical challenges, adapt to evolving requirements, and deliver high-quality solutions with clear and reliable communication throughout the project.

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Cover image for AI Marketing Attribution SaaS with

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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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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Cover image for Enterprise AI Search System with

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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Sondhayni Murmu

Designer/Engineer/Maker

Designer/Engineer/Maker

Cover image for Discord Waypoints

Discord Waypoints

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Cover image for Design Systems Case Study

Design Systems Case Study

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Cover image for Contentfill

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