GAVIN HENRY LEWIS

 (812) 803-5278 • gavlewis@iu.edu

github.com/gavin-lewis/                                                                                                                   linkedin.com/in/lewis-gavin

 

EDUCATION

Indiana University Bloomington, Indiana                                                                       [May 2023]

Master of Science in Computer Science                                                                                           GPA - 3.9/4.0

Relevant Coursework: Applied Algorithms, Elements of Artificial Intelligence, Applied Machine Learning, Data Mining,

 Computer Vision, Advanced Operating Systems

University of Mumbai, Mumbai, India                                                                        [October 2020]

Bachelor of Engineering in Computer Engineering                                                 GPA - 9.58/10.0

 

TECHNICAL SKILLS

Programming Languages:      Python, Java, Matlab, C, C++, R, HTML, PHP, JavaScript, Perl, Verilog, Linux Shell

Libraries & Frameworks:       Pandas, Matplotlib, Seaborn, NumPy, TensorFlow, Sklearn, NLTK, NodeJS, CERN Root

Tools and Analytics:       Vivado, Docker, Git, Tableau, Jupyter Notebook, Anaconda, Nikto, Nessus

Cloud and Database:              Google Cloud Platform, AWS, MySQL, MongoDB, BigQuery

 

EXPERIENCE

Indiana University Bloomington, Indiana, USA                                                   [August 2021 – Present]

Associate Instructor, Informatics Capstone Project

·       Planned and organized coursework for the course to teach students back-end web development.

·       Mentored 4 project teams for the web development projects.

·       Promoted the use of agile methodologies and best project development practices. Conducted bi-weekly sprint meetings and evaluated the project progress of the teams.

·       Conducted Office hours and responsible for conducting discussion sessions with the teams.

Tata Institute of Fundamental Research (TIFR), Mumbai, India                                  [July 2019 - May 2021]

Research Intern, Department of High Energy Physics

·       Designed a high precision Time to Digital Converter (TDC) with resolution of ~19 pico-seconds using Field Programmable Gate Arrays (FPGAs).

·       Reduced transmission error by 12% by implementing FIFO queue with Universal Asynchronous Receiver-Transmitter.

·       Developed a test bench to validate the design and tested the system with external inputs using Function Generator.

·       Performed outlier detection, analysis and visualization of data using CERN Root package.

Bharat Petroleum Corporation Limited (BPCL), Mumbai, India                                [December 2018 - January 2019]

Project Intern - IS Network and Security

·       Identified and analyzed various threats and vulnerable devices on BPCL servers and network using Nessus tool.

·       Worked on setting up of Honeypot to detect malicious network discovery scripts running on compromised systems and generated a threat assessment report.

 

PROJECTS

Chess-Like Game / AI Player                                                              [October 2021- November 2021]

·       Designed a Chess like board game that uses Decision Trees with Alpha/Beta Pruning (Minimax) to find the optimal decision move.

·       The AI player designed was in the top 1 percentile of the AI players designed for the class.

Home Credit Default Risk Detection                                                   [October 2021- December 2021]

·       Designed a classifier to predict the capability of a person to repay the loan based on the Kaggle Competition.

·       Compared models such as Logistic regression, XGBoost, Random Forest and MLP, of which XGBoost cross-validation performed best.

Malware Family Classification                                                                 [January 2019 - April 2019]

·       Designed a malware family classifier based on image characteristics of malware.

·       Developed models with 18.81 GB of train data in Microsoft Malware Classification (BIG 2015) on Kaggle using CNN and a model with the ‘Malimg’ dataset using KNN.

Student Portal (sp.fcrit.ac.in)                                                             [June 2018 - August 2018]

·       Deployed a sub-portal for college website to view results of students after logging into the portal.

·       Created admin side pages to manage users, record attendance and improved access control.

 

CERTIFICATIONS / COURSES

·       Advanced Matlab for Scientific Computing (Accomplished with Distinction)             [Stanford Online- Lagunita]

·       Blockchain Architecture Design and Use Cases                               [NPTEL - IIT Kharagpur and IBM]