Rakshith Manandi Email & Phone Number

Sunnyvale, Ca, Us

Sunnyvale, California, United States

Dallas, Texas, United States

• Propelled to apply Data science techniques to security logs to understand gaps and mitigate threats in our network. • Led the initiative to detect C2 beaconing patterns in network communication that could be malicious.• Engineered features to help profile temporal behavior of anomalous data points indicative of C2 beaconing.• Actively involved SME’s to determine Risk Acceptance levels while setting filtering thresholds for the features.• Refined KMeans++ algorithm to tackle exponentially large bias that exists in security due to highly imbalanced classes. • Reduced the number of potentially malicious data points the analysts had to triage by over a 1000%.• Actively engaged in a feedback loop with cross-functional teams and constantly improved the model by integrating it. • Generated interactive plots & daily reports to aid in easier understanding of the results for the clients.• Documented all the efforts diligently and supervised the documentation initiative across the whole team.• Delivered big data ETL pipelines to reduce execution time by more than 95% and saw the model to production.

Greater Salt Lake City Area

- I worked cross-functionally with the three Data Science teams, where I analyzed cellular level features from the world's largest empirical Biological image dataset to identify unhealthy cells from healthy cells.- I developed a Variational AutoEncoder (VAE) to identify domain shifts in heterogenous multimodal data. - Improved the ability of the VAE tobetter discern the domain shifts by performing feature engineering using context aware machine learning.- Also developed a baseline model to which I compared all the iterations of my improved model and analysed where the improvements could be done in a principled way.- Built statistical metric functions to ensure consistency of the model performance across different iterations.- Communicated the results effectively to biologists by encapsulating them into interactive plots and images.

I'm currently the Teaching Assistant for the course MGTF 495 - Data Science for Finance using Python. My responsibilities include leading discussion sections where I go over evasive topics by breaking it down and explaining it in a simpler way. I make the course material which includes powerpoint presentations, hands-on jupyter notebooks going over the ML algorithms and also maintain the class website and Piazza.

As a Graduate Teaching assistant I hold discussion sessions where I teach fundamental concepts and reiterate on complex topics focussed in class to make sure all the students are able to understand and are comfortable talking in terms of fundamentals of Biomedical Imaging. Additionally, I'm also actively involved in playing an important role in designing the assignments and grading them. I also mentor individual/group of students with their assignment needs or any other help with regard to the course

United States

- Developed an AI pipelinet hat deploys UNet(CNN) to automate the process of segmenting cardiac images.- Overcame data scarcity by using data augmentation techniques - Affine transformations.- Modified the UNet architecture to better perform on cardiac images affected by congenital heart disease.- Significantly reduced the segmentation time by99.99%from 1 hour 15 minutes per image to almost 1 second per image.

As a Graduate Teaching assistant I hold discussion sessions where I teach fundamental concepts and reiterate on complex topics focussed in class to make sure all the students are able to understand and are comfortable talking in terms of human physiology. Additionally, I'm also actively involved in playing an important role in designing the assignments and grading them. I also mentor individual/group of students with their assignment needs or any other help with regard to the course

San Diego

As a Graduate Teaching assistant I hold discussion sessions where I teach fundamental concepts and reiterate on complex topics focussed in class to make sure all the students are able to understand and are comfortable talking in terms of human physiology. Additionally, I'm also actively involved in playing an important role in designing the assignments and grading them. I also mentor individual/group of students with their assignment needs or any other help with regard to the course

Greater San Diego Area

- Worked on implementing various Machine Learning and signal processing techniques to reduce or overall suppress calibration time of Brain Computer Interfaces.- Researched on methods to build a dynamic and adaptable Brain Computer interfaces.

Vellore Area, India

- I took up the initiative to design a seminar series where the technical members of the chapter pick up a topic that is in relevant to the industry and hold a hands-on seminar every week and help students gain invaluable skills. - The seminar series topics included Arduino, Raspberry Pi, Wi-FI and Bluetooth communication, Data Structures and algorithms.

Masters, Bioengineering And Biomedical Engineering

Bachelor'S Degree, Electrical, Electronics And Communications Engineering