Betaflux

● Proficient in riverpod, and other state management libraries, And SDK’s like firebase, syncfusion_charts, etc.
● Skilled in crafting complex ui animation like custom scroll slivers, etc, And domain or feature driven architectures.
● Skilled in working with native implementations like deeplink, push-notification, secure storage, etc.
● Spearheaded solutions for complex, time-sensitive challenges in app development, ensuring high performance and rapiddelivery under tight deadlines.
● Developed advanced features for multilingual apps, custom animations, native bridge code, using isolates to optimise apps e.i framerate, performance, and complex Bluetooth integrations.
● Implemented Google Maps with clustering, road navigation, and custom caching for app responsiveness across devices.
● Enhanced app security by implementing SSL pinning, adhering to OWASP MAS guidelines, and best practices.
● Automated CI/CD pipelines for multiple projects, saving 10 hours per week and reducing manual errors by 100%.
● Led and mentored a team of 3 developers, fostering collaboration and upskilling, which resulted in a 30% improvement in
delivery speed and code quality.
● Reduced app crash rates in production by 80% after implementing advanced error monitoring and testing practices with
Firebase Crashlytics and Sentry.
● Partnered with cross-functional teams, including designers and QA engineers, to ensure seamless app development and
deployment.

Associate Software Engineer

Thapar Institute of Engineering & Technology

We were a group of 3 in the capstone project.

Usecase - We hoped to help the civil sector by enabling the offices with our proposed hardware and software solution to better govern them. And we collaboratted to make a system which will detect violence using both vision/sound, and will also act as natural/artificial calamities detector or early warning system all with the help of AI supervised learning.

First phase (purposed usecase), Install the hardware in the police station. And detect violence activities with inmates or bribe taking activities or tracking the amount of time a citizen is spending on average to get his/her queries resolved. 

We build portable hardware + software solutions using the help of AI Object Recognition by training our models using supervised learning methodologies. We use python, pandas, tensorflow to train our model. And with the help of powerbank operated raspberry Pi with camera module installed. We process the image feed and detect the coded objects based on the models trained to look for and computing all the values for the predection models.

Team Lead - Capstone Project

I was batch representative(CR) of 1000 of students. This period not only challenged me but also provided valuable life lessons. It helped me gain exposure in the crowd handling and get rid of stage fright.

Student Representative

LINUX USER GROUP ,TIET

In this period, I was an active member of the society which was headed by the CSE head.

I got the opportunity to host a coding event (Blind Coding) which was well received.

Event Coordinator

Why Software? It gives me thrill to solve technical problems. Every new project brings something new, something challenging on the table. And finding efficient solutions to the problems and continuously improving mindset, keeps me excited every single day.

If you have an idea, you need my consultation. Reach out to me. My experience can help you ship a quality product to market.

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