Software Engineer
Experienced Software Engineer with a demonstrated history of working in the computer software industry for more than 6 years. Skilled at React, Typescript, JavaScript, HTML5, CSS3, Python, Java, React-Native, Android Development and Web Development.
Proficient in working on large datasets and building Machine Learning Models. Strong operations professional with a Master of Science(MS) degree in Computer Science from University at Albany SUNY.
Software Engineer
Building complex workflows for the home-grown Customer Relationship Management (CRM) Platform at Meta using React, TypeScript, PHP, and Hack.
Building complex workflows for the home-grown Customer Relationship Management (CRM) Platform at Meta using React, TypeScript, PHP, and Hack.
Working on architecting and coding new components to help marketing experts do their sales seamlessly.
Built new features for multiple Apple Maps analytics dashboard using React, TypeScript and Redux.
Built new features for multiple Apple Maps analytics dashboard using React, TypeScript and Redux.
Contributed to the maintenance and improvement of the team’s internal UI library built specifically for Apple Maps analytics dashboard.
Worked on determining the impact of automated data cleaning on a multiple Machine Learning model’s accuracy.
Worked on determining the impact of automated data cleaning on a multiple Machine Learning model’s accuracy. One of the models used was RandomForestRegressor, using 10-fold cross validation the explained variance scores were 83.52% and 77.91% on train and test dataset, respectively.
Programmed Chrome Extension bot to reduce internal processes from a 7–8-hour task to 20 mins and saved AVRL $50,000 annually.
Worked on Peer-to-Peer transfer of data between Android devices using Wifi Direct, along with encrypting sensitive data and performing research on Geofencing.
Worked on Peer-to-Peer transfer of data between Android devices using Wifi Direct, along with encrypting sensitive data and performing research on Geofencing.
Programmed an algorithm to efficiently connect nearby devices and increased the connection success rate by 90%.
Led the Android and web development efforts across the organization, and was responsible for the delivery of best-in-class web applications for Advanced Voice Research Labs (AVRL) clients.
Led the Android and web development efforts across the organization, and was responsible for the delivery of best-in-class web applications for Advanced Voice Research Labs (AVRL) clients.
Integrated AVRL’s proprietary, industry-leading Natural Language Processing systems into web apps. Developed an application for a client that was used by over 88,000 users every day.
Programmed Restful APIs on Google App Engine using Python, Django, NDB. Few of which are handling registration of users, creation of OTP and sending messages to mobile devices using Twilio, running
cron jobs, etc.
Developed web-based dashboards that visualize data corresponding to interactions of User with the app into charts and graphs using d3.js library.
Developed web-based dashboards that visualize data corresponding to interactions of User with the app into charts and graphs using d3.js library.
Built chrome extensions for specific travel websites to inject (in a man-in-the-middle form) voice-based NLP functionality without having to modify the website itself.
Masters In Computer Science
August 2019 - May 2021
Bachelor of Engineering in Computer Science & Engineering
August 2012 - May 2016
React, Typescript, JavaScript, HTML5, CSS3, Materialize CSS, Bootstrap, JQuery, Express JS, Angular JS, Node JS.
D3.js, Adobe Photoshop, Adobe Illustrator.
Python (Certified), Java, C, C++, Visual C#.
Android, Android Wear, Django, Hibernate, React Native, Spring Boot, Scikit-Learn, TensorFlow.
AWS, Google App Engine, Google Cloud.
MongoDB, NDB, Oracle, PostgreSQL, MySQL, Firebase.
Imran brings a strong attention to detail to any project or assignment he works on. His focus on detail doesn't constrain him to being solely meticulous, but is well-paired with enormous technical talent.
In his most recent role reporting to me, Imran trained and managed a suite of engineers working across different domains of front-end development. His ability to learn quickly allowed him to
manage our rapidly growing team with minimal hand-holding.
I would strongly recommend Imran to be a part of, or to lead, most technical solution implementations.
During Imran’s time at AVRL he demonstrated immense value within our Engineering team. He’s extremely detailed, driven, and has the ability to manage large teams. I would strongly recommend Imran to any company who is looking for an extremely technical engineer with the ability to drive teams.
