About Me
Hi, my name’s Rahul Gautam and I’m a Computer Science Graduate Student at North Carolina State University. My passion lies in developing scalable software solutions to real world problems so that we can make our lives less mundane and spend more time on interesting problems like astrophysics and climate change.
Currently I am looking for Software Developer opportunities as I am graduating in December 2022.
I have 3 years of work experience working as a Full-Stack developer at Morgan Stanley and then as an intern at Aloft Appraisal. I was part of the collateral team at Morgan Stanley and was responsible for the development of the Loan Estimation software that is used by thousands of financial advisors. At Aloft Appraisal I was responsible for developing a pricing tool to predict the price of an appraisal based on complexity of the property. I have experience designing scalable systems and am proficient in Java, React, Spring Framework, and SQL.
Projects
Used different machine models (Random Forest, XGBoost, Logistic Regression, and KNN) for predicting weather anamolies on NC State Climate Data. Handled imbalanced data by using nearest neighborhood cleaning under-sampling while training. Achieved an F-1 score of 0.95 and a recall of 1
Bioinformatics tools mining using Machine Learning and Citation Analysis
Built an application to mine bioinformatics tools from scientific journals and map them to their use-cases based on the papers that they cite and the content of the paper. Sometimes common bioinformatics tool names are words out of the English dictionary like STAR and Salmon. These words are called homonyms. Used an SVM classifier to distinguish the bioinformatics tool detected from a homonym of the word with an accuracy of 97%.
Developed an E-Learning portal (using Node.js and Angular) for non-profit Agastya to deliver educational content to underprivileged children in India in vernacular languages amidst the COVID-19 pandemic. Awarded 1st prize in Morgan Stanley’s Technology in Innovation program.
Experience
Developed a pricing model to predict the price of a property apppraisal based on complexity of the property and its surrounding properties. Led to time savings to the extent of 80%.
Worked as a part of the security based lending team at Morgan Stanley. Was part of various projects. The most revenue generating product was a loan estimation system to predict the value of loan that can be disbursed based on the client’s trading portfolio. Also developed services based on the microservice architecture to perform eligibility checks on the collateral and the borrower. Spearheaded data science initiatives to create analytical pipelines for identifying potential clients and reporting.
Developed an extensible automation testing framework in Java for the Loan Booking application that reduced regression testing time from 2-3 days to around 3 hours. Integrated this utility into the Jenkins CI pipeline to perform sanity tests before code deployment.
Education
North Carolina State University
Master of Computer Science
August 2022 - December 2023
Relevant Coursework: Software Engineering, Foundations of Cryptography, Artificial Intelligence, Advance Learning and Data Analysis, Neural Networks, Computational Methods in Molecular Biology, Graph Data Mining, Computer Models of Interactive Narrative
Indian Institute of Information Technology Allahabad
Bachelor of Technology ( Information Technology with Honors)
June 2014 - July 2018
Relevant Coursework: Data Mining and Warehousing, Image and Video Processing, Compiler Design, Computer Networks, Artificial Intelligence, Design and Analysis of Algorithms, Object Oriented Methodologies, Operating Systems, Data Structures and Algorithms