Roposo

iOS Developer

March 2019 - present

• Worked on Spotlight Integration of Roposo iOS App.
• Currently working on AV Foundation, Core Image, Metal Kit for Image processing and developing filters and relevant stuff.

Jabong

iOS Developer

August 2017 - January 2019

• Worked on iOS Application of Jabong, developing numerous features and components for the same.
• Worked on 3D Modelling, 3D Scene Development, Unity 3D & Augmented Reality using ARKit to develop a POCs.
• Also contributed in other POC (Clothes classifier), worked on Image processing & Machine learning using CoreML & CreateML platform of apple for the same. Multiple scripts in Python were written to for preprocessing, data collection & data cleaning.
• Single handedly developed a data collection framework for the iOS app, which collected user data at various trigger points, and sent it to backend in order to analyse user behaviour and mine pattern for personalisation. It is being used by each and every component of the jabong iOS app as of today. It was a large project with 3 phase development and hundreds of events. Single handedly ported the complete address and user profile system to other backend within a short period of time. Developing parsers, models and commands for the same.
• Independently ported the complete address and user profile system flow to the new backend system within a short period of time, with end to end quality insurance.

Delhi Police

Intern

June 2016 - August 2016

• Leaded a team of 4 Developers with the help of a mentor from Xebia Inc. Carried on Requirement Elicitation to understand the need of product. Definition and Allocation of tasks among fellow members. Also made the workflows and models for development of each and every component of the IPS.
• System uses Geo-Spatial Analysis and Heat Maps to categorise the areas as per the frequency of illicit activities like robbery, snatching and motor vehicle theft. Active data collection as Geo Tagged Images from Google Drives into MySQL database using workflows created in Talend Open Studio (ETL Tools). Location extraction was done using Python. Results displayed as relevant and appealing visualisations, charts and graphs using Tableau (Data Visualisation). Deployment, Testing & Debugging of software. Cron jobs were made in Python. Open source software’s used to reduce the cost of overall system to zero. Mentor from Xebia Inc.
• Due to significant utility crime management planning received appreciation from DCP (Outer District) and an article in a National Daily Newspaper. Internship was community service for a social cause.

Briston Technomach

Intern

December 2015 - January 2016

• Data fetched from MySQL database being fed by devices in various fuel consuming generators and vehicles.
• Graphs plotted in python using Matplotlib and Seaborn to infer the fuel filling and consumption time durations replacing the trivial manual method. (Theft Detection)
• Various other processing is done on graphs like graph Smoothening and Noise detection in graphs.