Bilal Tariq

Microservices like architecture but for the front end. Micro-frontend architecture might involve breaking down the user interface (UI) into smaller, self-contained components or modules that can be developed, deployed, and maintained independently. Each component could represent a specific UI element, feature, or functionality.

I implemented this architecture for one of the companies where one of their main application was getting overloaded with features, and the codebase was getting huge. The app was facing latency issues, and as multiple teams were contributing to the same monolith, the front-end app deploying, testing, and developing was becoming an issue.

With the help of micro front-end architecture, we managed to break down the app into smaller applications that connect to the main shell (where all micro front-end will be rendered), giving individual teams to manage their own applications, repositories, and CI/CD process.

The dynamic visualization dashboard system I built enables companies to purchase grocery shopper data and visualize it using various charts and filters. It offers granular data exploration, allowing companies to view specific brands like Coca-Cola, including different SKUs. The system efficiently handles large data volumes, provides real-time updates, and has a user-friendly interface with intuitive controls. It empowers businesses to gain insights into consumer behavior and make informed decisions.

As the lead developer, I worked with a team of three engineers, contributing to front-end and back-end development. We wrote specs, developed, tested, planned CI/CD, and deployed the dynamic visualization dashboard system. Our collaboration resulted in a robust product for companies to analyze grocery shopper data.

A marketplace for errands and deliveries and a community platform for reliable, skilled workers. I managed full-stack operations such as maintaining and building new APIs on the back end, which was built using Ruby and handled the front end for the marketplace side of the application.

My key responsibility was debugging, fixing bugs, enhancing and building new features, and planning and brainstorming with the other teammates.

Brought the 'Gogetter training' system online and reduced errors and manual work by 80%. Optimized memory and time-consuming SQL and PostgreSQL queries and other logic-heavy processes that brought down the AWS server's cost by 30%. Planned and built a B2B model with a payment gateway, which helped break even. Planned and started a PWA app for merchants. Created public and private REST APIs for internal app usage and other business integration. Wrote job matching algorithms and improved job matching. Build features to improve the GoGetter community, e.g., favorite social and auto job allocation.

A user-facing website for a marketplace for errands and deliveries. To enhance the website's performance, I utilized Next.js, a popular React framework known for its improved load times and SEO capabilities.

My primary responsibility was to coordinate with the UI/UX designer to bring their vision to life and build webpages that were not only responsive but also aligned with the design aesthetics. This involved understanding the design requirements, gathering assets, and collaborating closely with the designer to ensure seamless integration of design elements into the website.

Focused on creating reusable components, proper HTML tags were used for accessibility purposes, implementing SEO-friendly practices, using SSR (a feature by Next.js) to improve page load speed, and ensuring it follows the design pattern with all the colors, components, and animations.

As a mobile application developer at LogicFab, I was responsible for the coding, testing, debugging, documenting, and monitoring of mobile applications. I also managed the publishing of apps to the Apple and Google stores and implemented payment gateway solutions.

In this role, I collaborated closely with different departments within the organization to ensure successful new deployments and contributed to developing project schedules and workflows. Additionally, I provided recommendations for changes and enhancements to software applications to improve performance and user experience.

To ensure successful collaboration across the organization and with all the stakeholders involved, I managed multiple teams both onsite and remotely, along with collaborating with clients to align the expected deliverables, and was able to effectively communicate technical requirements and solutions.

Overall, my experience as a mobile application developer at LogicFab enabled me to develop a deep understanding of mobile application development, project management, and cross-functional collaboration.

A user-friendly platform that simplifies the discovery of nearby food trucks. Users can effortlessly create accounts, explore food trucks within a specified radius using an interactive Google Map, and customize their culinary adventure with intuitive filters. The back-end system, accessible to administrators, streamlines the management of truck details. I played a vital role in both back-end and front-end development. Focusing on front-end design, I utilized pure CSS and incorporated npm packages to enhance the website's visual appeal. On the back end, I implemented a location detection system using Google Maps, offering real-time tracking of food truck positions.

Additionally, I integrated a heatmap feature using Google APIs, providing users with an insightful visual representation of food truck density. As the project expanded, I led the development of APIs for a mobile app in collaboration with the mobile developer. The entire project was crafted using Laravel for the back end and MySQL for the database.

The HealthBot AI Prototype is a proof-of-concept project leveraging OpenAI API connectivity. Designed to address end-users health-related queries, this innovative AI bot is a testament to the potential of artificial intelligence in solving real-world problems. The project, a collaborative effort with another engineer, focuses on seamless integration with OpenAI using the PHP SDK. Additionally, a logic handler was created to enable the use of the same bot with multiple ChatGPT versions, enhancing flexibility and adaptability.

In this venture, my primary contributions centered around extensive research on OpenAI, utilizing the PHP SDK for effective API integration and integration of OpenAI's GPT-3.5 and GPT-4 models. Moreover, I played a key role in developing a logic handler, ensuring the adaptability of the AI bot to different ChatGPT versions. This project underscores the potential of AI in transforming the health sector and providing personalized assistance to end-users.

A platform designed to streamline customer interactions across various social apps. Handling text, images, and videos seamlessly within a unified interface, it enhances workforce orchestration, interdepartmental collaboration, and empowers enterprises with insightful reports for comprehensive data mining. With robust user controls and advanced tools, enterprises can safeguard their brand reputation and deliver exceptional customer experiences.

I played a pivotal role in enhancing communication integrity and customer satisfaction in this project. My key responsibility involved creating a taboo filter, enabling managers to prevent the transmission of inappropriate messages. I implemented a customizable filter function, utilizing a custom regex to detect and restrict the use of filtered words. Additionally, I spearheaded the development of an escalation module, ensuring proactive notifications to all admins/owners when agents failed to respond to end-users within defined time thresholds.

A streamlined system for engineers managing product repair details. Engineers upload XML files containing product information to a designated SFTP, triggering an automated process. The system seamlessly processes these files, storing the pertinent details in a MySQL table. Admins can then easily filter through the parts/uploaded information for efficient management.

In this project, my primary responsibility was the creation of a robust function using the Laravel framework. This function, executed every minute via a CronJob, utilized the phpseclib's SFTP library. The function seamlessly logged into the designated SFTP account, performed verification checks on file extensions, and parsed XML files. The extracted details were then gracefully added to the system's MySQL table. To maintain system integrity, the function also handled file renaming for differentiation and created logs for debugging purposes in case of any issues.

An innovative social commerce platform designed for seamless product management, inventory control, and live selling on Facebook pages. Users can effortlessly showcase products in real time, enhancing their social commerce experience.

In this dynamic project, my role was instrumental in the technical implementation of key features. I spearheaded the setup of the Facebook developer app, configuring it with the necessary permissions. Collaborating closely with the team, I facilitated user account integration with Facebook through Graph APIs, enabling them to connect their Facebook pages to our system. A notable contribution involved creating a user-friendly feature allowing sellers to go live on their chosen Facebook pages with a simple button click. Additionally, I played a key part in integrating a module for handling live feed orders, ensuring smooth processing, and sending receipts seamlessly through Facebook Messenger. Initially, the main logic for the above project was created and controlled using Go, in which I was mainly involved, but then, eventually, every logic was moved to PHP Laravel.

An integrated messaging platform that seamlessly connects various chat applications into a centralized hub, offering comprehensive user, leave, and department management functionalities.

My technical contributions spanned both front and back end, encompassing the creation of an intuitive chat interface for users to engage with consumers. The chat UI features a convenient drag-and-drop mechanism for utilizing predefined text samples, reducing repetitive typing. I successfully integrated WhatsApp and Telegram APIs on the back end, facilitating the sending and parsing of messages directly within the system. This system was based on Laravel and Vue, using MySQL as the database.

Designed for internal use by an organization's engineers, this system revolves around efficient work order management. Inbound work orders from other systems trigger notifications within the system, allowing engineers to change work order statuses and travel to designated locations for issue resolution.

I played a pivotal role in enhancing communication and information access within the system. Firstly, I developed an internal chat system from the UI to the back end, providing engineers with a seamless communication platform. This chat system featured multiple tabs, enabling engineers to discuss work orders and access related information within the same interface. Moreover, I spearheaded the integration of the WhatsApp Business API into the main system. This integration allowed the automated sending of predefined and approved WhatsApp templates to consumers, ensuring timely notifications about engineer arrivals and updates on their cases.