MALAVIKA V
Cryptography Intern at Indian Institute of Technology Madras
About
Experience
Cryptography Intern
Indian Institute of Technology Madras
January 2026 - Present
- Developed a secure protocol for finding a random common element from secret-shared datasets using Secure Multi-Party Computation (MPC) techniques. - Implemented privacy-preserving set intersection protocols using secret sharing, randomized encoding, and 1-out-of-n Oblivious Transfer (OT). - Designed and evaluated protocols under the semi-honest adversarial model with simulation-based security proofs based on ideal/real world paradigms. - Built Python-based prototype implementations of existing and proposed protocols using socket programming for secure two-party communication. - Conducted performance analysis on datasets of varying sizes and evaluated execution time and communication overhead. - Worked with cryptographic concepts including Private Set Intersection (PSI), Secure Two-Party Computation (2PC), blind exponentiation, and Decisional Diffie–Hellman (DDH)-based security assumptions.
NLP Intern
National Institute of Technology Karnataka (NITK), Surathkal
June 2025 - July 2025
- Developed a prompt-based framework for layman summarization of radiology reports using Named Entity Recognition (NER) and Retrieval-Augmented Generation (RAG). - Implemented medical entity extraction using BC5CDR and Biomedical NER models and integrated external medical knowledge sources including SNOMED CT, Wikipedia, and RADx. - Fine-tuned BGE embedding models and utilized ChromaDB for semantic retrieval and storage of medical term definitions. - Generated patient-friendly radiology summaries using LLaMA-3 and Zephyr large language models with zero-shot and few-shot prompting strategies. - Evaluated summaries using relevance (BLEU, ROUGE, BERTScore, METEOR), readability (FKGL, DCRS, CLI), factuality (AlignScore, SummaC), and clinical fidelity (CheXbert, RadGraph) metrics. - Conducted experiments using Python, Hugging Face Transformers, SentenceTransformers, and NLP-based evaluation frameworks.
BIG DATA - Data Science Intern
Luminar Technolab
August 2022 - August 2023
- Worked on data collection, cleaning, and preprocessing to prepare datasets for analysis and model development, ensuring data accuracy and consistency. - Performed exploratory data analysis (EDA) and built basic Machine Learning models using Python, gaining hands-on experience in data-driven problem solving. - Utilized tools and libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn for data analysis, visualization, and model implementation. - Created data visualizations and dashboards using Tableau and Power BI, and collaborated with team members to deliver insights and document project outcomes.
Education
Masters of Science (M.Sc)
Central University of Tamil Nadu
January 2024 - January 2026
Field: Computer Science
Bachelor of Science (B.Sc)
Kannur University – EKNM Govt.Collage Elerithattu Kasargod
January 2019 - January 2022
Field: Physics
Higher Secondary Education
Rajahs Higher Secondary School Nileshwar
January 2017 - January 2019
Field: Biology Science
Skills
Advanced
Expert
Intermediate
Contact Information
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