Pavana P Karanth
Computer Science & Psychology student
Visvesvaraya Technological University • 2022-2026
About Me
An undergraduate aspiring to leverage AI for Psychology and research more on ML :)
Self Introduction
Hi! I'm Pavana, an undergraduate pursuing Bachelors in CS Engineering along with a Minor in Psychology.
Interested in the intersection of Artificial Intelligence, Psychology and Policy making. some of the niche topics include Natural Language Processing, Machine Learning, Simulations, Cognitive Computing and Modeling, Decision Making and Judgement, AI Ethics.
Random: I like cats and books :)
Neural Signatures of Disturbed Dreams: An EEG-Based Approach for Detection and Assisted Diagnosis of Nightmare Disorder
Extended a team-based academic prototype into an independent research investigation presented at the State-level Student Project Programme (SPP) organized by KSCTC. Under the guidance of Dr. Peter Simor, collaborated with the Budapest Sleep Research Lab to investigate neural signatures of nightmares in PSG/EEG data, focusing on stage-specific spectral patterns and anomaly detection across REM and N2/NREM sleep.
Contributions: Research Design, EEG Signal Processing, Spectrogram Analysis, Machine Learning, Model Experimentation.
Assessment of dimensions of Psychosocial impact of mental health apps with AI integrated analysis in South and Southeast Asian adolescents and young adults
The aim is to explore how AI-integrated mental health apps influence the behavior and coping mechanisms of South and Southeast Asian young adults facing acute stress and complex mental health issues, while also analyzing their impact on perceptions of social support. The anticipated outcome is a comprehensive understanding of how digital interventions affect psychosocial well-being, highlighting the need for culturally sensitive mental health solutions.
Contributions: Literature Review, Project Design, Qualitative and Quantitative analysis.
Application of Artificial Intelligence in Dementia
Conducted research on using AI for diagnosing dementia and supporting patients in daily life under the guidance of Mr. Prince Tufon (MIT). The study found that AI, particularly when combined with MRI data, improved diagnostic accuracy from 73.9% to 99% and could distinguish Alzheimer's patients from healthy individuals with 90% accuracy, highlighting AI's potential to enhance dementia care.
Contributions: Literature review, Data collection, Analysis.
Experience & Extracurriculars
Dell Technologies
Aug 2026 - PresentSoftware Engineer 1
Working with the iDRAC team on AI and automation initiatives, focusing on building intelligent, scalable solutions for infrastructure management. Applying software engineering, automation, and AI-driven approaches to improve system workflows, operational efficiency, and the management of enterprise infrastructure.
Dell Technologies
Jan 2026 - Jun 2026SWE Winter Intern
Worked on the “DESTINY - AI & Automation” project within the Infrastructure Solutions Group (ISG) at Dell. Contributed to the development of an enterprise server management platform focused on real-time server monitoring, resource reservation, intelligent scheduling, and workflow automation. Developed backend services and automation workflows using Python, FastAPI, PostgreSQL, and background workers, while working with iDRAC interfaces and remote server infrastructure to improve resource utilization and system reliability.
Dell Technologies
May - Aug 2025SWE Summer Intern
Working on the "Soft Calls – Data Analysis and Insights" project as part of the Infrastructure Solutions Group (ISG) at Dell. Responsible for data modeling, management, and analysis using tools like Splunk and Python. Applying deep learning methodologies and statistical techniques to uncover insights and support informed decision-making.
Project Crystal
Feb 2024 - PresentFounder
Leading the organisation "Project Crystal" which aims to destigmatise mental health in youth by psychoeducating caretakers and teachers in order to take better care of the psychological health of children and youth.
Dell Technologies
Jun 2024 - Feb 2025STEM Aspire Mentee
Participating in mentorship and training programs focused on STEM careers, to understand the industry.
Stanford: Code in Place
Apr 2024 – Jun 2024Section Leader
Guiding multiple teams of students selected for the program and teaching them the fundamentals of programming.
Astronomy Made Easy
Sept 2023 – 2025Lead Journal Editor & Administrative Assistant
As the Administrative Assistant and Lead Journal Editor at Astronomy Made Easy, I guide and coordinate team efforts to make space studies accessible by bridging high school and university-level coursework in astronomy. Led editorial processes, managing cross-functional teams, and developing engaging content strategies across social media and blogs to expand the organization's reach and enhance public engagement with astronomy.
Achievements
- 2026
State-Level Presenter, Student Project Programme — KSCTC
Selected to present research on EEG-based nightmare disorder detection at the State-level Student Project Programme (SPP) organized by the Karnataka State Council for Science and Technology.
- 2025
Invited Speaker, SWITCH 2025 Conference — QAI Ventures
Selected through QAI Ventures to represent our team and present our quantum machine learning solution for credit card fraud detection to an international audience at SWITCH 2025 in Singapore.
- 2025
Global Winner, GenQ Quantum Hackathon Series — QAI Ventures
Won 1st place in the Fraud Detection track and 1st place overall with Team Quantum Kitties at QAI Ventures' GenQ Hackathon in Singapore. Developed an interpretable post-hoc credit card fraud detection solution using Quantum Graph Neural Networks (QGNNs), earning the coveted Golden Ticket to the QAI Ventures Accelerator selection.
- 2024
International Winner, Quantum Formalism — Quantum Federated Summer Hackathon
Won the international Quantum Federated Summer Hackathon organized by the Zaiku Group, receiving a $2,000 prize.
- 2023
AWS Scholarship Recipient
Selected among the top 500 applicants from 2,000 candidates for a 6-month nanodegree, AI Programming with Python, offered through the AWS Scholarship program.
- 2019
Presenter, Indian Science Congress
Presented research findings at the 106th Indian Science Congress held at Lovely Professional University (LPU), Punjab.
- 2018
State Level Winner, National Children's Science Congress
Recognized as a “Yuva Vignani” for the 26th National Children’s Science Congress held in Odisha.
Skills
Languages
Python, Java, C, R, LaTeX, JavaScript, HTML, CSS, SQL
Developer Tools
Linux, Google Cloud Platform, Azure, Overleaf, GitLab
Frameworks
PyTorch, TensorFlow, Streamlit, Keras
Content Tools
Microsoft Applications, Google docs, Canva, Adobe Photoshop, WordPress
Collaborative Tools
Notion, Google docs, Trello, Evernote
- Quantitative & Qualitative Research
- Literature Reviews
- Hypothesis Development & Testing
- Research Planning & Execution
- Data Collection & Analysis