Sai Prasath Suresh Email & Phone Number

• Building RAG and function calling agents for cybersecurity

Atlanta, Georgia, United States

• Designing defense techniques for improving the robustness of BERT, GPT and Llama2 LLMs against adversarial attacks and malicious inputs.
• Evaluating performance across 3 settings: prompt engineering (few shot learning), prompt tuning, and LoRA.
• Building guardrails leveraging LLM embeddings to effectively identify and prevent the generation of harmful (toxic or bias) content.

Atlanta, Georgia, United States

• Enhanced the ML Testing toolbox by integrating: feature visualizations based on mutual information, and explainable AI (LIME and SHAP) for multi-class classification problems.
• Evaluated the end-to-end development of machine learning models: (1) CNN for 5G Beam Selection, and (2) Autoencoder Based Channel Estimator using Keysight’s AI-testing pipeline.
• Contributed to the AI Testing White Papers on Supervised and Unsupervised learning models for 6G Technology

Atlanta, Georgia, United States

• Developing a Emergency Management portal using Flask for detecting flooding in Georgia counties.
• Designing pipelines for processing and storing data in GCP collected from sensors across the Georgia coast.
• Building a dashboard to visualize real-time data which will be used for emergency planning and response.

Bhubaneswar, Odisha, India

• Research Focus: Deep Learning, Network Security, Reinforcement LearningProject 1: Multi-Class Attack Classification using Reinforcement Learning
• Designed a Double Deep Q Network (DDQN) which dynamically adapts to changes in data distribution using feedback from the user. Achieved +6% accuracy compared to existing benchmarks.
• Investigated the performance of the model on the network data from the cloud based ISOT-CID (8Tb) dataset.Project 2: Covariate Shift… Show more Research Focus: Deep Learning, Network Security, Reinforcement.
• Investigated the performance of the model on the network data from the cloud based ISOT-CID (8Tb) dataset.Project 2: Covariate Shift Mitigation using Continual Learning
• Identified the problem of covariate shift in the NSL-KDD dataset and proposed an seven-stage framework to detect the nature and magnitude of the change.
• Extended replay(dark experience replay) and regularization(learning without forgetting) based continual learning models from computer vision to intrusion detection tasks to handle changing attack distributions. Show less

Singapore

• Developed a novel semi-supervised GAN model for detecting trojan DNNs created by service providers.
• Redesigned existing models to achieve attack-agnostic detection by integrating an Denoising Autoencoder.
• Achieved state-of-the-art performance +3% AUC on computer vision tasks while minimizing run-time by 15%.

Singapore

• Implemented a dual attention based LSTM/GRU models to pre-emptively detect anomalies in a power plant.
• Minimized costs by reducing the false alarm rates to 0.21% with a high detection accuracy of 97.8%.
• Compared the performance of the model with ML models(Random Forests, XGBoost, SVM) and DNNs.

Karlsruhe, Baden-Württemberg, Germany

• Redesigned multiple adversarial attacks such as Zeroth Order Optimization(ZOO) and Iterative Fast Gradient Sign Method (FGSM) to accommodate domain specific needs.
• Evaluated various defence mechanisms including denoising autoencoder, adversarial training, and defensive distillation.

Auckland, New Zealand

• Implemented agent(Stochastic Te Punaha Matatini) and differential equation(Modified SEIR, CovidSim 2.0) based covid-19 models using hybrid automata using composition modelling.
• Analysed the trade off between the economic impact and the health impact by generating a pareto front using ϵ constraint method and particle swarm optimization.

Master'S Degree, Computer Science (Specializing In Machine Learning), 4.0/4.0

Course Work: Fall 2022 Machine Learning (Prof. Mahdi Roozbahani) Interactive Robot Learning (Prof. Matthew Gombolay) Computation Science.

Bachelor Of Technology, Computer Science And Engineering, 9.79/10

Activities and Societies: 1. Secretary of the Literary Society, Panacea 2. Assistant Coordinator of the Counselling Service Team 3. Core.

Class 12, Computer Science, Maths, Physics, Chemistry, 95.8%

Class 10, Maths, Science, Social, English

CGPA: 10/10