Machine Learning Engineering Intern – dotkonnekt Innovation Labs, Bangalore
March 2023 – July 2023
Contributed to a cross-functional team developing machine learning models and algorithms for the company's D2C Experiential Platform.
Key Contributions
- Implemented a cutting-edge recommender engine, encompassing content-based filtering systems, collaborative filtering systems, and hybrid recommenders, for the company's D2C platform.
- Integrated Huggingface models with LangChain, including open-source language models such as BERT and Falcon-40B, into the company's platform, contributing significantly to the platform's language processing capabilities.
- Leveraged AWS SageMaker for model training, proficiently experimenting with various instance types to optimize model performance.
- Deployed models using Node.js and Flask, ensuring seamless integration with existing infrastructure and an improved user experience.
Graduate Instructional Assistant – University of South Florida, Tampa, FL, USA
September 2024 – May 2025
Conducted thesis research on security applications of large language models titled "LLMs for Network Intrusion Detection: A Comprehensive Analysis" working with Graduate Advisor Prof. Ning Wang to comprehensively analyze methodologies.
Fall 2024
"Security and Privacy in ML" with Prof. Guangjing Wang
- Supported instruction and grading, assisting students with questions during office hours
- Helped ensure clarity in assessments for a class of approximately 100 students
Spring 2025
"Privacy Preserving Trustworthy Cyber-Infrastructures" with Prof. Attila Yavuz
- Currently building coursework and supporting instruction
- Assisting with grading and student support
"Human Aspects of Cybersecurity" with Graduate Advisor Prof. Ning Wang
- Building course materials and supporting classroom instruction
- Providing grading support and student assistance