Mar 2021 – Dec 2021 · 9 mos · Singapore

Apr 2020 – Mar 2021 · 11 mos

• Managed the entire Frontend across all domains(Consumer, Ops, Marketplace) at OYO Life which includes Consumer facing website and app, internal dashboards, BFF.
• Leading a team of 15+ engineers
• Leading expansion to South East Asia a part of Singapore Tech team.
• Playing a major role in implementing best AB Testing practices, cost reduction, Performance monitoring
• Responsible for some of the key partnerships with external companies like Grab. Users can now book OYO Hotels using Grab app.

Sep 2018 – Mar 2020 · 1 yr 6 mos

• Developed OYO Life Consumer facing Website and App and BFF from scratch.(React, React Native, Node)
• Single handedly set up the entire analytics on the web using Google Analytics further integrating with Google Optimise to create a seamless AB testing Pipeline.
• Worked intensively on SEO improvements which drastically improved organic traffic.
• Memory Profiling of the apps, Code Push implementation(rolling out updates without app store submission)
• Prometheus, Grafana, Firebase Monitoring Integration for latencies and performance monitoring.
• Performed optimisations like Code splitting and chunking, caching which drastically reduced the page load time and improved the overall performance.

Jun 2017 – Aug 2018 · 1 yr 2 mos · Bengaluru Area, India

• Re-architectured all apps to MVVM pattern using Android Architecture Components thereby making the code more organised and testable . Also used Dagger 2.11 for dependency injection.
• Laid the foundation of Test Driven Development and single handedly setup Continuous Integration on Jenkins and linking it with AWS device farm for testing on multiple devices.
• Leading the IOT driven Services Platform on the mobile side which provides Premium Services to Fleet owners like a.) Automatic Accident Detection, b.) Fuel Consumption Monitoring, c.) Rash Driving Detection, d.) Truck Location Tracking, e.) Automatic Truck Lock from Fleet owner’s end.
• Made much needed changes to the code to support Android O devices and also incorporated new Android O features such as Autofilling, Notification Channels, Downloadable Fonts.
• Wrote a library to identify user struggles and collecting errors on the all the apps. This really helped the product and operations team to strategise accordingly.

Feb 2016 – Jun 2017 · 1 yr 4 mos · Bengaluru Area, India

• Built Finomena , Finomena partner and other internally used apps right from scratch.
• Holding a very integral position in the mobile team .
• Have been Full stack, building the backend Apis used in the app myself .
• Have Single handedly worked on many core features of the app, which have helped drastically in customer acquisition, retention and UX improvement .
• Have also worked on internal dashboards which have helped in fraud detection and optimising emi collections .
• Working very closely with Head of Engineering, Product Managers, designers and Founders and ensuring high quality of deliverables without missing deadlines .

Sep 2015 – Jan 2016 · 4 mos · Gurgaon

• Working on the following Projects : -
• Mappr :- A social Learning Platform for schools. (A blend of Facebook , LinkedIn and WhatsApp) which works at the school, parent teacher and student end .
• > Taking complete ownership on the Android side and developing this phenomenal and vast product from scratch.
• > Working on
• Real-time Feeds
• GCM push notifications
• File upload and download in Video, Audio
• PDF , word , excel etc. formats.
• Student endorsement
• Trend Analysis
• Student Progress Consolidation( Right from class prep to class 12 )
• Robust Chatting System
• > Optimizations upto 180% by writing highly efficient code have been done with a very farsighted approach .
• Mappr Trakkr : - An app which lets school administration and parents track the location of school buses. Features like alerting if the bus is going off route, over-speeding etc. are also provided .
• > Efficiently made use of sockets to track location and status (i.e. whether the bus is stuck in traffic, completion of journey,breakdown) of buses in real time.
• > Used Geofencing to effectively determine which stop has been covered by the bus .
• > Used GCM push notifications to alert the parents and the school admin on various bus activities.
• > Incorporated Google directions API and writing efficient and optimized algorithms to determine the route of buses,whether the bus is over-speeding or not following the route , estimated arrival time at each of the stops as well as the distance left.
• > Made the system as automated and robust as possible .
• Other responsibilities include : -
• Working very closely with the backend and the design team and ensuring smooth and efficient development.
• Gracefully finishing up the work well before deadlines .
• Efficiently understanding the requirements of the investors and directors and working on their efficient and optimized implementation .

May 2015 – Nov 2015 · 6 mos · New Delhi Area, India

• Worked on Google Maps Api V2 and Google Location API to Retrieve, update locations of users contacts and plot them on the Map.
• Gracefully geocoded the latitude and longitude coordinates of contacts'​ locations to show their complete address.
• Effectively made use of REST API to update and retrieve locations and other user data on and from the server.
• Created background services, broadcast receivers to alert a user about his contacts' updated locations via notifications.
• Worked on GOOGLE PLACES API and its integration with GOOGLE MAPs API to show places of interest like banks, restaurants, atms and also show their details like complete address, operating hours etc.
• Also worked on SQLite for offline caching of locations and other data to make offline experience smooth and comfortable.

Dec 2014 – Feb 2015 · 2 mos · Gurgaon, India

• Worked on a large sized dataset of a telecom company having 1.5 crore records.
• Initial cleaning and transformation of the dataset was done using pandas and python.
• Outliers were removed.
• Normalization of the dataset was done to make it suitable for applying Machine Learning Algorithms.
• Problem of Big Data was gracefully solved by writing highly efficient code.
• Clustering Algorithms like KMeans and Expectation Maximization were applied to find out customers showing similar behavioural patterns.
• Applied Bootstrapping to effectively select only a few records which represent the entire dataset.
• Effectively used data structures in Python to obtain the data in the required JSON form which was used in Visualization.
• Coordinated well with the front end team to perform Visualization on a parallel chart using D3.js .

Apr 2014 – Sep 2015 · 1 yr 5 mos

• Working with Microsoft for developing High end Applications for mobile and web .

Oct 2013 – Jun 2014 · 8 mos

• Responsible for Sales and Marketing of Windows 8/8.1 .