Faiz Ahamed Shaik | Developer

About me

Hi, I’m Faiz Ahamed Shaik, a passionate Full Stack Web Developer who’s been captivated by the world of technology since I was 8 years old. My journey started with a dream of becoming a software engineer, and today, I’m living that dream by building engaging, interactive, and dynamic web experiences.

I bring a contagious enthusiasm to every project, constantly pushing myself to explore new ideas and deliver outstanding results. I thrive on challenges, love learning, and am always excited to create solutions that make a meaningful impact. Currently skilled equally in Frontend and Backend using MERN Stack, I’m eager to collaborate, innovate, and bring fresh perspectives to the digital space.

When I’m not coding, you’ll find me exploring new technologies, brainstorming creative ideas, or simply enjoying the thrill of solving complex problems. Let’s build something amazing together!

View Resume

Experience

Full Stack Engineering Intern

GorgeousTV (StartUp) - Los Angeles, CA

Oct 2024 – Dec 2024

Crafted Dynamic Dashboard for Key insights

I built interactive dashboards using React that provide real-time insights across multiple modules, including the Video Catalog, Ad Inventory, and Streamer Dashboard. These dashboards give admins and streamers a clear view of key metrics, making data-driven decisions easier

Designed a Seamless Scene Tagging Interface

I developed an intuitive tagging and annotation system where annotators can assign proxies, super proxies, and actors effortlessly. To enhance accuracy, I integrated a ChatGPT API for proxy image search, ensuring smoother tagging workflows

Developed a Feature-Rich Video Catalog and Ad Inventory

I designed a Video Catalog UI that showcases series and movies with detailed metadata while enabling easy addition of new content. The Ad Inventory Interface allows advertisers to manage ad positions, matches, and product information seamlessly

Built an Analytical Streamer Dashboard

I created a custom streamer dashboard to track client-specific data such as ad views, product records, and impression metrics. I also implemented an ad queue refresh feature that lets clients manage and update ad queues dynamically.

Enhanced User and Admin Management

I built a robust User Management System to handle profiles, access control, and account settings. The Admin Panel offers full control over streamers, annotators, and advertisers, with actions like activation, deactivation, and data management

Added Powerful Search and Filtering Options

I implemented advanced search and filtering capabilities across dashboards, allowing users to search by parameters like name, season, PR status, and VZoT score. This helped streamline data access and improve operational efficiency

Optimized UI for Speed and Responsiveness

I focused on performance optimization by using code-splitting and lazy loading, ensuring the platform handles large datasets efficiently. I also made the UI responsive and accessible across all devices, offering a smooth experience for all users

BluePrism RPA Intern

AICTE, Eduskills

Mar 2022 – May 2022

Built Bots for Data Entry Exercises

During my internship, I practiced creating bots that automated basic data entry tasks. Using Blue Prism, I built flows that entered information into forms, copied values across sheets, and validated entries. While these were learning exercises, they helped me understand how repetitive tasks can be streamlined using RPA

Simulated Real-World Scenarios

Many of the exercises were designed to mimic real-world business use cases. I worked on simulated invoice processing and employee data updates. These tasks gave me a better idea of how RPA bots are used in industries like finance and HR to reduce manual effort and human error

Explored ERP System Integration

As part of an advanced training module, I learned how to integrate RPA bots with mock ERP systems. I practiced automating the flow of data between modules like payroll and accounting, which helped me understand how RPA can enhance data accuracy and process efficiency in larger systems

Learned Workflow Design and Debugging

One of the key takeaways from the internship was learning how to plan, design, and troubleshoot process flows. I spent time debugging broken paths, checking data outputs, and refining decision stages. This gave me a strong foundation in logical thinking and attention to detail

Created Basic Dashboards for Monitoring

To understand the performance of bots, I created small dashboards using Blue Prism’s control room to monitor task status and execution times. Though simple, this exercise taught me how organizations keep track of automated processes and ensure smooth operations

Projects

Agent Flow Builder

Agent Flow Builder is an interactive flow-based development platform inspired by Vector Shift, designed to visually create and validate agentic AI pipelines. I developed a dynamic drag-and-drop canvas using React and ReactFlow, enabling users to build custom data and AI workflows. The backend, built with FastAPI, performs real-time DAG validation to ensure flow correctness. The platform supports modular node types for various AI operations and encourages experimentation with complex pipeline designs. I emphasized responsive UI/UX, seamless frontend-backend integration, and extensibility for future AI agent orchestration

See Live Source Code

Portfolio Project

Designed and developed a personal portfolio website using HTML, CSS, and JavaScript to showcase my skills, projects, and work experience. Focused on building a responsive and accessible UI with smooth navigation and modern design principles. Implemented SEO best practices, integrated Font Awesome for icons, and structured the site for easy content updates. This project enhanced my frontend development skills and deepened my understanding of layout structuring, component reuse, and performance optimization. It reflects my proactive approach to self-branding and continuous learning.

See Live Source Code

Campus Orbit

Campus Orbit is a comprehensive event management platform developed during my first semester at SJSU. It enables students and staff to register, explore, and manage campus events efficiently. I built an admin dashboard with real-time analytics, department/event controls, and participant tracking. The platform supports role-based access for admins, streamers, and annotators. Features include event suggestion, internship applications, message handling, and registration key generation. I focused on clean UI/UX and scalability for large student communities.

See Live Source Code

Change Data Capture Pipeline

I designed a Change Data Capture (CDC) pipeline to track real-time changes in a source PostgreSQL database and reflect them in BigQuery. Using Debezium, Kafka, and Kafka Connect , I captured insert, update, and delete events and streamed them to BigQuery via a custom sink connector. I implemented Airflow to orchestrate the workflow and manage metadata updates efficiently. This project deepened my understanding of stream processing, log-based change capture, and building end-to-end data pipelines for analytics. It was a hands-on dive into integrating modern data tools to support real-time insights.

See Live Source Code

Hi, my name is Faiz Ahamed Shaik
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