Master's Candidate @ UMKC
I am a performance-driven engineer specializing in Scalable Data Architecture, High-Concurrency Processing, and Applied Cryptography. Proven capability to transform raw datasets into high-fidelity business intelligence.
Engineered a privacy-preserving distributed machine learning framework that enables models to train locally on edge devices. By leveraging secure multi-party computation, this system aggregates model weights without ever exposing or centralizing raw user datasets, ensuring absolute data privacy while maintaining optimal predictive accuracy.
Identified and resolved severe architectural bottlenecks within high-traffic, legacy Java and SQL enterprise applications. By completely redesigning the database schemas and optimizing complex queries, I successfully eliminated system logjams and drastically accelerated the data retrieval velocity for critical corporate reporting.
Architected a highly available, real-time environmental monitoring system by integrating remote hardware sensor arrays with a custom-built, secure cloud backend. This robust data pipeline continuously streams, processes, and displays high-frequency data, guaranteeing zero packet loss even under heavy concurrent loads.
Developed automated Python pipelines using Pandas and NumPy to clean and process massive, unstructured datasets, uncovering hidden consumer buying patterns. These insights were translated into interactive Tableau dashboards, providing executives with clear, actionable visual metrics to drive strategic business decisions.
Kansas City, Missouri, USA | 2024 - Present
Provide critical tier-2 technical support and network orchestration for university-wide infrastructure, ensuring 99.9% uptime for advanced research facilities. Developed and deployed custom Python automation scripts that monitor system health, effectively reducing manual diagnostic times by 20% and improving overall lab efficiency.
Hyderabad, India | 2023 - 2024
Architected and maintained scalable Java and SQL-based data modules to support high-concurrency enterprise applications. Spearheaded the restructuring of legacy relational database schemas, which significantly reduced query latency and optimized the data retrieval process for real-time corporate reporting.
Hyderabad, India | 2022 - 2023
Conducted intensive Exploratory Data Analysis (EDA) across massive, heterogeneous datasets to support internal business strategies. Built robust data cleaning pipelines in Python and utilized advanced visualization frameworks to design interactive KPI dashboards for executive stakeholders.
University of Missouri-Kansas City
Kansas City, Missouri, USA
GITAM University
Visakhapatnam, India
Workshop 2026
Certified Associate 2025
AI Specialization