Experience
Industry
Machine Learning Engineering Intern
dotkonnekt Innovation Labs, Bangalore
Mar 2023 - Jul 2023
Worked on ML models for the company's D2C Experiential Platform.
- Built recommender engines: content-based, collaborative filtering, and hybrid systems
- Integrated Huggingface models (BERT, Falcon-40B) with LangChain
- Trained models on AWS SageMaker, deployed via Node.js and Flask
Academic
Graduate Research Assistant
SPRAI Lab, University of South Florida, Tampa
Aug 2025 - Present
Continuing doctoral research under Prof. Ning Wang focused on AI safety, alignment, large language models, unlearning, agentic systems, and LLM security.
- Studying how LLMs retain information, follow intent, fail under pressure, and can be made more reliable
- Continuing prior work across federated learning robustness, model poisoning, and security-critical AI systems
Graduate Instructional Assistant
University of South Florida, Tampa
Sep 2024 - May 2025
Conducted thesis research on LLMs for Network Intrusion Detection under advisor Prof. Ning Wang.
Fall 2024
"Security and Privacy in ML"
with Prof. Guangjing Wang
Spring 2025
"Privacy Preserving Trustworthy Cyber-Infrastructures"
with Prof. Attila Yavuz
"Human Aspects of Cybersecurity"
with Prof. Ning Wang