About Me
Ph.D. student in Computer Science at The University of Kansas (KU), focusing on Adversarial Machine Learning in autonomous systems. Passionate about AI Security, ML systems, and building practical, high-impact solutions.
Recent honors include KU EECS Honors Award (2025) for my Master's thesis on autism stimming detection and the Paul F. Huebner Memorial Award (2024) for teaching excellence potential.
Education
Doctor of Philosophy (PhD) in Computer Science
The University of Kansas (KU), Lawrence, KS, USA • GPA: 4.0
Expected May 2027
Research Focus: Adversarial Machine Learning in Autonomous Systems
Master of Science (MS) in Computer Science
The University of Kansas (KU), Lawrence, KS, USA • GPA: 3.9
May 2025
Graduated with Honors. Specialized coursework: Machine Learning, Computer Vision, Cybersecurity
Bachelor of Technology (BTech) in CSE
Jawaharlal Nehru Technological University (JNTU), Kakinada, India • GPA: 3.4
Sep 2020
Focus: Software Development, Programming Languages, Operating Systems
Publications
Master’s Thesis – Action Recognition for Autism Support
KU EECS Honors Award, 2025
Developed a custom 1D-CNN to detect harmful stimming behaviors (head banging, arm flapping) in autistic children from video, achieving 93.93% accuracy.
Research & Experience Highlights
PhD Research – Adversarial ML & AI Security
Researching adversarial ML/AI security vulnerabilities and machine unlearning methods for deep learning models.
Data Science Research Assistant (KSDS)
Built mobile/web app for Kansas cost-of-living analytics; used OCR to extract receipt items and structure data for dashboards.
Graduate Teaching Assistant (KU)
Supported Computer Vision, Software Engineering, Programming II, and Unit Operations Lab for 170+ students; improved outcomes 15–20%.
Data Analyst Intern, Starlight Theatre
Kansas City, MO • Apr 2023 – Jul 2023
Managed end-to-end data-driven projects, impacting decision-making for 5+ departments. Designed dynamic dashboards, improving access to strategic insights by 40% and reporting efficiency by 30%. Delivered tailored data solutions, reducing manual analysis workload by 25%.
Data Analyst, Infosys Ltd
India • Nov 2020 – Jul 2022
Developed 5+ interactive dashboards/reports using TIBCO Spotfire and Power BI, reducing reporting time by 35%. Automated ETL workflows with Alteryx, processing 100,000+ records and reducing prep time by 40%.
Achievements & Recognition
KU EECS Honors Award
2025 - Recognition for outstanding Master's thesis on autism stimming detection
Paul F. Huebner Memorial Award
2024 - Award for teaching excellence potential and dedication to student success
Poster Presentation - KU GEA Research Symposium
2024 - Presented my Master's thesis on autism stimming detection at KU GEA research symposium
Master's Thesis Defense
Successfully defended thesis on autism stimming detection with 93.93% accuracy
ACM CCS 2024 Volunteer
Volunteered at the prestigious ACM Conference on Computer and Communications Security 2024