Jun 2018 – Aug 2019 · 1 yr 2 mos · Greater Hyderabad Area

• End to end development of a new microservice used by teachers and students to check for grammatical errors.
• Developed a highly available data processing pipeline for real time feedback using Apache Spark and Storm.
• Used NLP to identify and correct grammatical errors made by non native english speakers.
• Built high throughput ETL pipeline for data warehouse between staging layer and presentation layer.
• Designed reliable and efficient databases according to user requests and business requirements.

May 2017 – Jul 2017 · 2 mos · Greater Hyderabad Area

• Worked on the Adaptive Learning Platform to improve the learning experience of students.
• Applied machine learning to predict the performance of student in the exam based upon the past performance
• and interaction of students with the learning platform.
• Built a machine learning pipeline using python to process large datasets in production environment using pyspark,
• scikit-learn, pandas, numpy, scipy and seaborn.
• Received a Pre-Placement Offer (PPO) based upon my contributions to the team.

Apr 2016 – Sep 2016 · 5 mos · IIT Roorkee

• The project aimed enhance the functionalities of Area fill dialog.
• Move all the individual fill style tabs inside the area tab.
• A new widget to replace the preset list view to icon view and add create a context menu for rename and delete functions.
• User selectable palettes in color tab and fixed recent colors feature broken since LO 3.0
• Technologies used - C++, Gtk, Qt, CPPUnit
• Build Tools - CMake, Gerrit with Jenkins CI

Nov 2015 – Nov 2016 · 1 yr

• Implemented mathematical and predictive models of equities through extensive research of academic literature.
• Developed high sharpe ratio alphas in python using Numpy and Scipy to determine the risk-return profile of equities.
• Implemented algorithmic strategies to place bets in American and European equities market.
• Back-tested the strategies on a proprietary trading platform - websim.

May 2015 – Aug 2015 · 3 mos

• The project involved improving the sidebar user interface and functionality by adding some of the most commonly used
• office suite features.
• Created a Page tab and Slide Background tab to modify the page and background properties.
• Improved the sidebar selection analyzer to identify shapes and curves
• Revamped the Area tab,Line tab, Impress slide transition tab and Calc sidebar tab
• Technologies used - C++, Gtk, Qt, CPPUnit
• Build Tools - CMake, Gerrit with Jenkins CI