I am a seasoned Android Developer with 6+ years of professional experience in the full life cycle of Android application development, including designing, coding, testing, debugging, and maintenance. Currently, I am the Android Team Lead at OBHAI Solutions Ltd., a leading ride-sharing company in Bangladesh. I have developed core features for apps with over 2.5M+ downloads. I possess strong expertise in Java, Kotlin, and SQL, with a deep understanding of RESTful APIs and modern architectural patterns. My leadership skills have consistently driven teams and projects to successful completion, resulting in enhanced app performance, improved user experience, and increased overall product efficiency.
OBHAI: OBHAI Solutions Ltd., a concern of MGH Group, offers a variety of ride-sharing services through its application, including point A to B pickup and drop, parcel delivery, intercity travel, and ObhaiSheba (Emergency services). The platform supports a range of vehicles, including CNG, Cars, and Motos for express delivery, as well as OBon (Scooty) for female passengers. Additionally, users can manage multiple payment methods, including adding or deleting cards and MFS details, and they earn loyalty points with every successful ride. In my current role, I am responsible for analyzing requirements, breaking them down into smaller tasks, distributing them, contributing to the development, and ensuring the successful delivery of the final product.
play.google.com/store/apps/details?id=com.obhai
OBHAI Contractor: The OBHAI Contractor application is designed for drivers to manage ride-sharing and parcel delivery services across multiple vehicle types. The app enables drivers to receive ride or parcel requests, complete with essential details like estimated earnings and pickup and dropoff addresses. Drivers can accept these requests, view detailed earnings breakdowns, and settle payments. Additionally, the application offers various features to simplify and streamline drivers' daily tasks.
During my tenure, I recognized that working with the existing codebase had become extremely unfeasible. I took the initiative to scrap the existing driver application and start rewriting it from scratch, ultimately securing approval from management for this significant overhaul. This decision was crucial in enhancing the app's performance, stability, and scalability.
play.google.com/store/apps/details?id=com.Obhai.driver
Garage Manager: An Android application for CNG garage owners and managers who are partnered with OBHAI. This application provides a comprehensive overview of the performance of drivers associated with the garage and offers a clear breakdown of their earnings.
https://play.google.com/store/apps/details?id=com.obhai.garagemanager
OBHAI Device Tracker: The OBHAI Device Tracker application is used to track company-owned devices distributed to drivers who do not have smartphones. The primary challenge is tracking these devices using their IMEI numbers. This application is distributed privately via Knox, enabling the organization to locate and recover lost company devices from drivers.
Radio Foorti App: A streaming radio application for the leading FM radio station in Bangladesh. I developed a feature for instant chat with RJs using Firebase Realtime Database, allowing users to interact directly with radio hosts in real-time.
play.google.com/store/apps/details?id=com.klouddata.radiofoorti
Knock: E-commerce application for local shop. Users can order products and manage orders from the application. This application uses open-cart rest APIs.
play.google.com/store/apps/details?id=com.silentkay.knock
DD Blog: DD Blog is basically an application developed to resell to all Wordpress blogs. This application is developed using Wordpress Rest API v2. Changing graphical assets, theme and another blog base URL can create another application for that Wordpress blog.
InstantO: InstantO is a restaurant order and inventory management application. This application in a freelance project and this is still under development and not yet published.
Supervising Vehicle Using Pattern Recognition: Detecting Unusual Behavior Using Machine Learning Algorithms, Tensymp2018, Sydney, Australia, https://ieeexplore.ieee.org/document/8692071