Sai Karthik Nallamothu

సాయి కార్తీక్ నల్లమోతు

I'm currently pursuing my M.S. in Computer and Information Sciences at University of Central Florida, and I completed my B.Tech in Computer Science and Engineering at SRM University-AP.

skarthik.nallamothu@gmail.com

Resume / LinkedIn / Github / Scholar

Sai Karthik Nallamothu - Professional Photo. Copyright owned exclusively by Sai Karthik Nallamothu. Not AI-generated.

Research

Interested in the intersection of Human Interaction and Intelligent Systems in healthcare and medical applications.

Updates

Aug 2025: Joined University of Central Florida to pursue M.S. in Computer Science. Looking forward to this new chapter in life!!

Experience

Research Assistant
SRM University AP, On Campus
Aug 2023 -- May 2025

Built a real-time intrusion detection system using Genetic Algorithms for feature selection on a 500,000-event network dataset, achieving 15% higher accuracy and 12% fewer false positives than baseline models.
Engineered federated learning frameworks for early autism screening and saffron adulteration detection across 3 institutions, preserving 98% data privacy while improving cross-site predictive performance by 10%.
Collaborated on 5+ interdisciplinary AI initiatives, presenting findings at internal research symposia and driving 20% greater integration of project outcomes into laboratory workflows.

Research Intern
Deakin University (TULIP Lab), Virtual
Jun 2024 -- Sept 2024

Performed time-series anomaly detection on 50,000+ observations using PyOD, DeepANT, STUMPY, and scikit-learn, improving precision by 14% over standard baselines.
Benchmarked Isolation Forest, Gaussian Mixture Model, and AutoEncoder architectures, reducing false-alarm rates by 18% through optimized hyperparameter tuning and model selection.
Authored modular, reproducible anomaly-detection pipelines enabling 2× faster deployment and collaborative scalability across research teams.

Education

M.S. in Computer and Information Sciences
University of Central Florida, Florida, USA
Aug 2025 -- Present

Relevant Coursework: Advanced Artificial Intelligence, Incident Response Technologies, Design and Analysis of Algorithms.

B.Tech in Computer Science and Engineering (Specialization in AI and ML)
SRM University-AP, Andhra Pradesh, India
Sept 2021 -- Jun 2025

Project: Permutation Effects in Multilingual Summarization using Transformers via Ordered Evaluation
Relevant Coursework: Machine Learning, Data Structures and Algorithms, Applied Data Science, Artificial Intelligence

Publications

C=Conference, J=Journal, P=Patent

[C.1] Application of Machine Learning Algorithms and Feature Selection using Genetic Algorithm: A Case Study on Cyber Attack Detection.
YVK Tapas Kumar Mishra, Sai Karthik, Pradeep Sai Teja, Raja Pavan Vignesh.
In Proceedings of the 9th International Conference on Innovations in Information and Communication Technology (I2CT), 2024.

[C.2] Comparative Analysis of Feature Representations for Topic Modeling with Latent Dirichlet Allocation.
SK Nallamothu, RKK Yenduri, SS Pippalla, K Karthik, BS Alapati.
In Proceedings of the 15th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Mandi, 2024.

[C.3] Early Childhood Autism Screening Through Facial Feature Extraction.
SK Nallamothu, N Dutta, G Ghinea, SS Beri, SK Mekala, A Abdul.
In Proceedings of the 8th International Conference on Parallel, Distributed and Grid Computing (PDGC), 2024.

[C.4] Assessment of Data Augmentation Paradigms in Pathology Identification.
SK Nallamothu, PST Sanka, S Vaka, RPV Kajjayam, Y Vidavaluru.
In Proceedings of the 22nd International Conference on Information Technology (OCIT), 2024.

Projects

Adversarial-Resilient ANN for Medical Diagnostics
Code

Developed a deep neural network optimized via Genetic Algorithms for hyperparameter tuning on clinical MRI datasets, achieving 94% classification accuracy under noisy and adversarial conditions. Integrated fuzzy logic to enhance model interpretability and robustness.