Sep 2017 – Sep 2019 · 2 yrs · Bengaluru, Karnataka, India

Oct 2015 – Aug 2017 · 1 yr 10 mos · Bengaluru, Karnataka, India

• At Zipgo, I have these major tasks:
• 1. Customer Android app: I am handling the customer Android app which includes introducing new features and optimizing and maintaining old/broken code. Rapid development.
• 2. Scheduling Automation: We have thousands of trips with hundreds of drivers. I work on scheduling algorithm for allotment of those trips to drivers given some preferences.
• 3. Driver Android app: Quick fix in driver app as and when required.
• 4. R&D: I also work on developing test features (need not necessarily belong to the app) which are not part of the development cycle.

Jul 2014 – Oct 2015 · 1 yr 3 mos · Bangalore

• 1. Development: I have the primary task to implement a new feature from scratch. The major challenge is to get a kick start once I get stuck at some place. Team-work and seeking help from senior members of other teams is a major challenge in this.
• 2. Ideation: We need to come up with break-through ideas which can be
• implemented and patented.

Jan 2014 – May 2014 · 4 mos · Greater Hyderabad Area

• Taking regular reports from every other TA.
• Taking regular lab sessions.
• Invigilating the exam sessions.
• Directly reporting to the professor in-charge.

Aug 2013 – Dec 2013 · 4 mos · Greater Hyderabad Area

• Taking regular classes.
• Directly reporting to the professor in-charge.

Nov 2012 – Jun 2014 · 1 yr 7 mos · Greater Hyderabad Area

• Developing and maintaining a transliteration system across various Indian language pairs.

May 2011 – Dec 2011 · 7 mos · Greater Hyderabad Area

• Development of a knowledgebase being developed as an in-house project at LTRC called PurposeNet. PurposeNet is a knowledgebase of artifacts (man-made objects) in which the knowledge is organized around purpose. Majorly worked on the improvement of the structure of PurposeNet. Also made an effective data structure for an efficient searching and insertion in PurposeNet. Extracted bulk data (which includes properties like color, state, shape etc. of an artifact and a huge list of artifacts) for population of the knowledgebase through various methods of semantic relations extraction from Wikipedia dump. (Completed Under Professor Rajeev Sangal and Dr. Soma Paul, both at LTRC, IIIT, Hyderabad)