Surya Roshan Mugada Email & Phone Number

Los Angeles, California, United States

• Contributing as a Fullstack Engineer to role management & login services for 3M+ users by designing,developing, testing, and optimizing API endpoints and web pages using Java Spring Boot and Angular for federal IT.
• Spearheaded improvements within the Role Management and Login team for the GSA project, achieving an 81% reduction in errors and a 33% boost in system efficiency through optimized API development.
• Improved Caching by implementing fault-tolerance with Redis and fallback mechanisms, preventing service downtime during high-traffic and minimizing latency.
• Conducted Twistlock vulnerability analysis, remediating 24 critical security vulnerabilities, significantlyimproving application security.
• Developed an LLM-based ChatBot using Microsoft Cognitive Services, reducing FSD ticket volume byapproximately 70% and improving operational efficiency.
• Represented the company team in Federal AI hackathon to develop a prototype for enhancing the EIA.gov website with AI-driven search capabilities. Leveraged knowledge graphs, ontologies, and RDF stores, utilizing LLMs.

Los Angeles, California, United States

• Developed a machine learning module for radiology data analysis, utilizing KPCA/PCA, TSNE, bootstrapping, K-Means clustering, and conducting cluster stability analysis. Contributed to hyperparameter optimization and.
• Built a website for Radiomics Lab at Keck School of Medicine, USC using WordPress and Python

Seattle, Washington, United States

• Improved the reliability and accuracy of the storage service module by implementing input and output sanitization using typescript and Zod, resulting in a significant reduction in faulty data and failed processes.
• Enhanced monitoring and maintenance of AWS resources by automating the creation and standardizing of Datadog dashboards, allowing for easy identification of inefficient resources and improved overall management of AWS.

Hyderabad, Telangana, India

• Improved the accuracy of a text classifier by implementing various text processing methods and comparing different models, resulting in a significant increase from 65% to 83%.
• Utilized Python, Scikit Learn, NLTK, Naive Bayes and Ridge Classifier, and Javascript to implement and test various models

Hyderabad

Built a knowledge base to develop a new feature, a conversational ChatBot using Microsoft Cognitive service (qnamaker.ai) to answer admission-related queries, thus minimizing human involvement and reducing reply time-achieving an accuracy of 90%

Hyderabad Area, India

• Developed a module for sentiment analysis and user activity check for a company's recruitment service (www.hirestar.io).
• Utilized the Twitter API and various tools to perform sentiment analysis, classify into genres, and obtain user activity statistics

Master Of Science - Ms, Computer Science, 4.0

Activities and Societies: M.S Honors Program Courses: Analysis of Algorithms, Database Systems, Programming Design Paradigms, Foundations.

Bachelor Of Technology - Btech, Computer Science, 9.05

Activities and Societies: Head of Coding Club 2019-2020, CSE Football Team Awarded First Class with Distinction