Hey, I’m Jay Muthialu.

Mobile Architect and Team Lead who cares deeply about technology, product, design and people.

My values

Builder at heart

With over 8 years as an mobile architect and hands-on native iOS and Android engineer.

People Manager

Unique leadership style that accommodates individual working style, recognize individual talent and build up on their strengths, empower autonomy and foster a culture of transparency.

Go-Getter

Get job done with high quality no matter the obstacles. Track record of delivering high quality, high performance apps consistently.

Innovative

Created several useful concepts and always try to push the envelope a bit further.

Life long learner

Machine Learning and Reality Kit (Vision OS) are my next adventures.

Off the clock

You’ll find me hitting the tennis courts, tackling mountain bike trails, or whipping up culinary delights in the kitchen.

Recommendations

General Motors, Atlanta

Architected brand new iOS and Android app from scratch and led a talented team of engineers, QA and devops.

Architected and developed BLE library for iOS to securely perform locking operations of an electric cart.

Corporate Accomplishments

CNN, Atlanta

Architected and developed revenue generating critical components such as Audio Video libraries for Live TV and VODs.

Developed ad injections solutions for video feed and news feed.

Developed SSO that works seamlessly with TV providers.

Capstone Logistics, Atlanta

In a short period of time, turned around mobile team plagued by challenges in code quality and inconsistent delivery into a high quality, high performing team.

Architected and developed hard to solve diffing algorithm and rewrote core technical layers involving networking, persistence, concurrency and navigation.

Personal Projects

UWB based hands free locking - Prototype (iOS)

One of my proud accomplishment. This solves a real problem we faced at General Motors where the need was to lock or unlock when the user is within a specific distance without touching the mobile phone.

I build this prototype with my own UWB sensor and build UWB layer on top of BLE layer which acted as a data link layer running on Swift.

With this technology, operations can now be performed based on precise distance of the user from the asset.

This is the foundational step towards building a true hands-free locking mechanism, a magical experience.


Chat App - Prototype (iOS)

This was built in Swift using Cloud Firestore for realtime cloud database and Firebase Store to store assets such as images and videos.


The custom flow layout is built using Compositional Collection Views using diffable data source.


Fun collection View Layout (iOS)

Private Repo

Technologies:

Jetpack Compose for declarative UI components.

Retrofit and GSON for networking and decoding the objects.

Room Database for persistence layer.

Compose Navigation and routing.

Hilt for Dependency Injection

Kotlin.


Backend Server and Website using MERN Stack

Built backend server using Express, Node, and MongoDB running on Azure Cloud.

Built Single Page Application (SPA) website using React

Build payment system using Stripe SDK


Technologies:

Python

SKLearn

Numpy

Pandas

Jupyter Notebook


Digital control of Tractor Hydraulics

This is one of my proudest achievement.

In 1999 when I was in India, I wondered why don’t we have autonomous tractors and I thought I would start by automating Tractor ploughing system.

I did not know much about microprocessor and electrical engineering at that time, so I learnt in depth and designed and built a 8085 based motherboard from scratch and wrote assembly language that successfully controlled ploughing systems at a prototype level.

A spin on Android Jetpack technology

How about some machine learning?

Project to illustrate mathematical concepts behind back propagation algorithm for neural networks

Awards

GM Critical Technical Talent Award in 2022 and 2023 for architecting high quality mobile apps.

IBM Outstanding Contribution Award in (2014 and 2012) for architecting supply chain systems.

Certifications

Generative AI with Large Language Models, Coursera - July’2023

Unsupervised Machine Learning Algorithms, Deep Learning AI, Stanford University – Mar’2023

Advanced Machine Learning Algorithms, Deep Learning AI, Stanford University – Nov 2022

Supervised Machine Learning, Deep Learning AI, Stanford University – Oct 2022