Freelancers using JavaScript in FremontFreelancers using JavaScript in Fremont
Websites, Stores & Funnels | Framer, Shopify, Kajabi,Webflow
    $100k+
    Earned
    53x
    Hired
    4.9
    Rating
    824
    Followers
Websites, Stores & Funnels | Framer, Shopify, Kajabi,Webflow
Web & Brand Designer | SaaS, Shopify & Framer Specialist
    25
    Followers
Web & Brand Designer | SaaS, Shopify & Framer Specialist
Cover image for Landing page design
I have design
Landing page design I have design the landing page for this website, Client came with several refrence designs and I provided much better than the refrence and competitors.
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3
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Cover image for Ørth App - Full Branding, UI/UX, Web & App Design, 70+ App S...
Ørth App - Full Branding, UI/UX, Web & App Design, 70+ App Screens Ørth - The app where you match with like-minded travel buddies, who share your adventurous spirit, interests, and dream destinations. One great project that involved the creation of a wide range of deliverables on several key points: From establishing the initial branding and logo design, to taking it further with the animation, web design & app-store visuals, and a complete app design including 70+ app screens developed for the brand.
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5
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Cover image for Modern Clothing Store Design
A clean
Modern Clothing Store Design A clean and modern clothing store design created to highlight apparel collections with a stylish and professional look. The layout focuses on simplicity, smooth navigation, and a visually engaging user experience. Built on Shopify, the store is fully responsive, easy to manage, and optimized for seamless shopping across all devices. The design reflects a contemporary brand identity while supporting performance and conversions.
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Cover image for Shopify Custom Store Design
I have
Shopify Custom Store Design I have designed this store with some HTML codes and with SEO optimized description. This store generates much sales and revenue per month. Here is the full view of store: https://kerrits.com/
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209
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
    1x
    Hired
    8
    Followers
AI SaaS Engineer | MVPs, Agents, Automation, Next.js, Python
Cover image for AI Chrome Extension for Instant
AI Chrome Extension for Instant Cover Letter Generation (Job Jolt) I built Job Jolt, an AI-powered cover letter generator designed to help users create tailored job applications directly from real job listings in seconds. The product combines a Chrome extension with a backend web application to streamline the entire workflow. Users can visit a job listing on platforms like LinkedIn, extract relevant job data with a single click, and instantly generate a customized cover letter powered by AI. On the frontend, I developed a React-based Chrome extension that injects seamlessly into job listing pages. The extension handles data extraction, sanitization, and formatting before securely sending structured requests to the backend. On the backend, I built a Flask-based system integrated with OpenAI to generate high-quality, context-aware cover letters in under 20 seconds. The system was designed for speed and reliability, making it one of the fastest solutions in its category. A strong focus was placed on security and robustness. I implemented API key validation, token-based authentication, rate limiting, and secure password handling to ensure the platform could scale safely while protecting user data. The result is a smooth, end-to-end user experience that removes friction from the job application process and demonstrates how AI can be integrated directly into real-world workflows. This project highlights my ability to combine frontend UX, browser extensions, and AI-powered backend systems into a cohesive and high-performance product.
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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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Founder & Creative Director, Karnak. Identity and websites.
New to Contra
Founder & Creative Director, Karnak. Identity and websites.
Web Dev & Design with Top-Notch Communication Skills
Web Dev & Design with Top-Notch Communication Skills
Web designer & developer for local businesses
New to Contra
Web designer & developer for local businesses
Data Cleanup, Python Debugging & Workflow Automation
New to Contra
Data Cleanup, Python Debugging & Workflow Automation