Software Engineer

Arvind Krishnan

# ad0erb@r.postjobfree.com ï linkedin/Arvind § github.com/arvindk0 H +1-602-***-****

EDUCATION

Arizona State University - Master of Computer Science Tempe, AZ Aug 2022 - Present

National Institute of Technology, Tiruchirappalli - B. Tech in Computer Science and Engineering Tiruchirappalli, I Jul 2016 - Jun 2020

Coursework: Data Structures Algorithms, Machine Learning, Software Engineering, Principles of Programming, Compiler Design, Operating Systems, Advanced Database Management Systems, Computer Organization and Architecture, Software Security, Data Mining. PROFESSIONAL EXPERIENCE

MathWorks Natick, MA

Software Engineer Intern May 2023 - Aug 2023

Worked on the back-end detection algorithm to identify previously installed MATLAB support packages, helping customers to quickly get to a working state.

Worked on a highly impactful project used by 33,720 customers in the year 2022 and contributed to a future release.

Pioneered the development of a new C++ code-base from inception to implementation, meeting all project milestones within the scheduled timeline.

Ensured the code’s reliability and robustness by conducting comprehensive unit testing with Google Mocks. Fidelity Investments Chennai, India

Software Engineer Aug 2020 - May 2022

Built a robust web application solution to automate the report generation capability by connecting to various backend REST APIs and collecting data that saves 20FTE manual effort and 100k financial risk per year.

Leveraged effective MongoDB sharding techniques to optimize data storage and retrieval, ensuring the application’s scalability and performance.

Demonstrated expertise in Java Design Patterns, resulting in highly maintainable code that promotes reusability and significantly reduces the Total Cost of Ownership (TCO) of the application.

Collaborated closely with Chapter Leads to align automation, scalability, and performance requirements, ensuring the application met strategic objectives.

Successfully integrated the application with Jenkins CI-CD pipeline, enabling automated deployments and saving 5FTEs of manual effort annually.

Executive Graduate Trainee Aug 2020 - Dec 2020

Developed a Machine Learning predictive model to effectively predict the resolution time of ServiceNow tickets raised. ( 20k tickets per year)

Employed advanced feature engineering techniques, including one-way ANOVA and Cramer’s V, to extract meaningful insights from the data and enhance model performance.

Implemented a highly accurate Random Forest Classifier model, achieving an impressive accuracy rate of 95 percent. The model was further optimized using Bayesian Optimization to ensure quick ticket resolution and efficient downtime planning. TECHNICAL SKILLS

Programming: C++, Java, Python, MySQL, PostgreSQL, MongoDB, HTML, CSS, TypeScript

Frameworks and Tools: Spring Boot, NodeJS, Docker, Flask, REST, Git, Perforce, Sandbox PROJECTS

Reference Prediction of Caches using Machine Learning, Final year project Jan 2020 - May 2020

Built a machine learning predictive model to effectively predict cache reuse in the Last Level Cache (LLC).

Collected, cleansed, processed over 400k lines of data and used effective feature engineering to classify block reuse.

Employed a comprehensive approach to model selection and optimization, fine-tuning hyper-parameters for a range of supervised algorithms, including XGBoost, SVM, ANN, MLP, and AutoML.

Achieved 6.2 percent improvement in accuracy with XGBoost. SP Prediction using Feed Forward MLP, Class project, Machine Learning Jul 2018

Developed a machine learning predictive model to predict future SP Index given 6 months of past data.

A Feed Forward Multi-Layer Perceptron model trained using training data and tested on the test data.

Given SP Index of ‘t-1’, the model predicts the index of ‘t’ with an accuracy of 92 percent. ACHIEVEMENTS AND RESPONSIBILITIES

Runner up CODEChella 2023, MathWorks.

Sports Program Official Sun Devil Fitness Complex, ASU.

Head - Organizing Committee Vortex, CSE Department’s technical symposium, NITT.

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