Raghav Krishnaswamy Email & Phone Number

Chicago, Illinois, United States

Low Latency Execution / Ultra-low latency

Ann Arbor, Michigan, United States

Natick, Massachusetts, United States

• Utilized the Confluence REST API to gather Security Form Responses and perform analyses that helped the product security team improve secure development practices at MathWorks by 20%• Working in a team of engineers using Agile Scrum and integrated and automated 3 new security policies into MATLAB• Classified JIRA, Bug Bounty, and Gecko bugs using a text-based classification model that utilized Natural Language Processing, hosted this model as a live script on AWS, and achieved 94.3% accuracy

Ashburn, Virginia, United States

• Developed a Blazor front-end application using C#, JS, and React that enabled the data science team to push their analytics to the SQL database tables without the aid of the software engineering team and automated 95% of the process saving 3 hours/week• Advanced another Blazor Web Application using C# and JavaScript that automated the process of new team members to Ascentia, Databricks, Microsoft Azure and other proprietary team technologies which saved management 5-man hours of work per month• Improved efficiency of build and provisioning by optimizing bash scripts by 10% which improved efficiency for 15 employees• Worked with engineers in an Agile Scrum Framework and utilized Jenkins and Serial Jenkins to debug code simultaneously

Herndon, Virginia, United States

• Created an Internet of Things Project in collaboration with Cisco engineers and mentor and presented to upper management• Used Xcode to create an app (Loki Health) to streamline the appointment process by 40% and provide more efficient healthcare• Implemented this application in the nearby community to enable doctors to treat more patients more efficiently

Richmond, Virginia, United States

• Developed a machine-learning algorithm with 92% accuracy for a remote tutoring service that paired tutors and students• Employed a qualitative and quantitative survey of tutors and students to pair them based on personality and learning traits• Optimized the use of classification-based machine-learning algorithms such as SVM and K-NN using TensorFlow rather than the regression-based approach taken in my other projects and adapted the algorithm for daily operations of the company.

Ashburn, Virginia, United States

• Organized class discussions on the SATs, ACTs, Calculus, AP Classes and AP Exams as a Teacher’s Assistant• Helped kids with homework and acted as a resource to foster success with schoolwork • Contributed to the back end of the business with payroll, cold-calling, customer relationship management, and advertisements

Leesburg, Virginia, United States

- I developed a Machine Learning research project which attempted to predict adverse reactions between two medications/drugs in the human body by utilizing their physical, chemical, genomic, and therapeutic properties. - This project was worked on in collaboration with a partner in my school, the Academy of Science, and researchers at the HWA Chong Institute. - A model was developed and able to predict interactions with over an 80% accuracy. The results were presented at a symposium, judged and received high praise and acclaim.