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About Me

Kalyanam Dewri

I'm a junior at Arizona State University, focusing on Computer Science with a specialization in Software Engineering. I'm passionate about leveraging advanced technologies to solve complex problems and drive business outcomes.

Education

B.S. Computer Science (Software Engineering) | Minor in Philosophy
Arizona State University
Ira A. Fulton Schools of Engineering
Graduating May 2026

Relevant coursework: Data Structures, Algorithms, Probability & Statistics, Distributed Systems

Professional Experience

Arizona State University, Tempe, AZ: Deskside Support (Part-time)

Jan 2024 – Present

  • Implemented a priority-based triage system that reduced ticket resolution time by 40%.
  • Delivered rapid on-site support to C-suite executives, achieving 98% satisfaction.
  • Designed an AI-powered Excel booking system that cut scheduling conflicts by 50%.

Outlier, Remote: Software Developer

May 2024 – Sep 2024

  • Enhanced a speech-language classifier using Python, NLTK, and PyTorch to boost accuracy to 95%—a 12% improvement that directly optimized customer communication and operational efficiency.
  • Spearheaded the full development cycle in Java, delivering a robust front-end solution that reduced user onboarding time by 25% and accelerated time-to-market.
  • Conducted a rigorous security audit identifying vulnerabilities in 25% of internal accounts, resulting in a 40% improvement in overall security compliance and risk mitigation.

(CAOE), Phoenix, AZ: QA Research Intern (REU)

May 2023 – Jun 2023

  • Formulated predictive models for DHS infrastructure using Pandas and NumPy.
  • Presented data-driven optimization strategies to DHS technical representatives, achieving a 92% approval rate.
  • Streamlined data workflows, reducing manual processing time by 30%.

Projects

Cal Hacks 10.0 – Winner, San Francisco, CA

Oct 2023

  • Developed Health Insurance 4 Dummies, a full-stack web app delivering insurance estimates in under 2 seconds, reducing decision time by 30%.
  • Partnered with InterSystems to integrate data analytics, boosting user engagement by 25%.

DASSH Student Challenge 2023 – Winner, Tempe, AZ

Feb 2023

  • Engineered a smart Live Emergency Response System (LERS) using AI, ML, and IoT, reducing emergency response times by 30%.
  • Enabled real-time, coordinated communication among stakeholders, boosting situational awareness by 25%.

Neural Network for Financial Time Series Forecasting, (TensorFlow)

Feb 2024 - Present

  • Engineered an LSTM model in TensorFlow achieving 85% accuracy and reducing MSE by 20% via grid search and dropout regularization.
  • Optimized training pipelines with batch normalization and early stopping, boosting computational efficiency by 30% for real-time trading strategy analysis.

Contact

Email: kdewri@asu.edu
LinkedIn: linkedin.com/in/kalyanamdewri
GitHub: github.com/kalyanamdewri