L

Lakshmi Priyanka Bhallamudi

About

Detail

Texas, United States
Contact Lakshmi regarding: 
id_card
Internships

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • University of Texas at Arlington
    Research Assistant
    University of Texas at Arlington
    Jan 2025 - Current (1 year 5 months)
    Constructed Python pipeline (Pandas, NumPy) analyzing $2.3B municipal budget against 5 benchmarks, creating Tableau dashboards that revealed substantial property tax dependency, while validating Generative Al projections with 92% accuracy and reducing analysis time. Designed executable app integrating spaCy NLP chatbot and Gurobi solver that transforms conversational inputs into facility location optimization models with high parameter accuracy, while crafting Matplotlib/Plotly visualizations that improved resource allocation.
  • Wipro
    Software Engineer
    Wipro
    Apr 2022 - Feb 2023 (11 months)
    Architected a scalable E-commerce platform using MVC architecture with C#, ASP.NET, and SQL Server that processed 5,300+ daily transactions while maintaining near-perfect uptime with elastic load balancing and supporting 70K+ concurrent users via Redis caching. Engineered responsive front-end interfaces with Bootstrap framework and jQuery plugins to reduced bounce rates by 28%, while implementing browser-side and CDN caching strategies along with image optimization techniques that decreased page load times. Orchestrated end-to-end application deployment through CI/CD pipelines (Azure DevOps), reducing release cycles from weeks to days, and collaborated with agile cross-functional teams to deliver critical features that generated $150K in ad
  • virtusa
    Data Analyst
    virtusa
    Jan 2022 - Apr 2022 (4 months)
    Transformed incident management through ITIL-compliant structured triage protocols on ServiceNow platform, achieving on-time resolution for 200+ weekly tickets and cutting average resolution time from 48 to 12 hours while maintaining rigorous SLA compliance. Developed automation solutions using UiPath that digitized 5 critical business workflows, reclaiming 30+ hours of weekly manual processes and elevating data accuracy from 87% to 96.5%, directly supporting mission-critical financial reporting systems and quarterly compliance audits. Created interactive performance visualizations using Power BI DAX formulas that translated complex SRE metrics for executive leadership, facilitating strategic decisions that boosted system reliability and cu
Education verified_user 0% verified
  • University of Texas at Arlington
    Master's in Computer and Information Sciences
    University of Texas at Arlington
    Aug 2023 - May 2025 (1 year 10 months)
Projects (professional or personal) verified_user 0% verified
  • S
    Smart Web App for Restaurant Search and Photo Management
    Sep 2025 - Current (9 months)
    Engineered feature-rich React application integrating Yelp API for personalized restaurant discovery with 19+ search parameters and Google Maps API for real-time location visualization, processing 600+ daily search queries with 95% accuracy, and implementing secure authentication. Pioneered a scalable cloud storage solution on Google Cloud Platform that efficiently managed 2 TB+ of user-generated content with overflowing availability, while optimizing image compression to reduce storage costs and increasing average session duration from 2 to 8 minutes.
  • G
    GradTrack - Job Track Widget for Students
    Jun 2025 - Jul 2025 (2 months)
    Built a React + TypeScript widget to streamline applications with resume versioning, AI-powered JD analysis, and auto-reminders. Integrated OpenAI API for real-time resume feedback to handle persistent job data, reducing application friction and context switching by 80%. Shipped as a mobile-ready PWA with <7s load time for on-the-go access and roadmap for Gmail, LinkedIn, and campus portal integrations.
  • A
    Advanced Resume Analysis & Career Recommendation Engine
    Jan 2022 - May 2025 (3 years 5 months)
    Simulated comprehensive document processing pipeline using Python/NLTK extracting 33+ key attributes, significantly improving candidate evaluation accuracy while substantially reducing screening time through automated skills identification and pattern matching algorithms. Refined machine learning skills-matching system that dramatically improved candidate-role alignment; algorithms delivered personalized career recommendations that achieved strong user satisfaction while saving recruiters 13 hours weekly. Deployed a cloud-native microservice processing 1,600+ diverse applications daily with exceptional extraction accuracy, integrating seamlessly with existing enterprise HR systems while enabling real-time candidate screening and automated q