Yashwant Bezawada
Software Engineer | Tinkerer | M.S. Computer Science '20
Collierville, Tennessee
Overview
Work Experience
Software Engineer Advisor
2022 - Current
• Developed a Gen AI–powered customer-facing chatbot for shipment tracking, scheduling, and account queries that significantly increased user engagement and accelerated response times. • Led a team to develop a multimodal retrieval-augmented generation (RAG) chatbot integrated with the FedEx knowledge base, streamlining access to packaging standards and enabling employees to quickly locate relevant documentation, cutting helpdesk resolution times. • Collaborated with product and infrastructure teams to define a generative AI roadmap, contributing to operational efficiency improvements and driving innovation in associate tools and automation. • Architected end-to-end MLOps pipelines to streamline deployments, enhance reliability, and enable server inference for continuously re-trained models. • Migrated mission-critical applications to Azure Kubernetes Service (AKS), reducing deployment times by 65% and strengthening security measures, saving $800K annually. Technologies: PCF, Microsoft Azure, Java, Spring Boot, SQL, Cassandra, Microservices, Azure OpenAI API (GPT4), Falcon 40B, LLaMA (7B), LangChain, Pinecone, Redis, HuggingFace Transformers
Software Engineer II
2020 - 2022
• Develop and maintain global enterprise-level pricing solutions that impact internal pricing users and external customers across the globe to support FedEx’s business strategy and goals with a customer-first ideology • Spearheaded multiple application modernization efforts including Legacy to CloudOps Migration, WebLogic to Spring Boot Conversion, Spring Boot Admin, API Gateway and Service Discovery adoption • Developed Enterprise Discount Database (EDD) Archive-Purge process dramatically reducing the Database growth rate in GBs and cutting down the overall DB size by 11 TB • Technology Stack: Java, SQL, JMS, Shell, WebLogic, Spring Boot, Cloud Native Microservices, PCF, Maven, Angular, Ab Initio, Jenkins CI/CD, Cloudbees Flow
FedEx Small Business Grant Contest is a grant program started by FedEx in 2012 to award U.S. based small businesses.
Software Engineer Intern
2019 - 2020
• Responsible for refactoring existing disputes system using Payment and Dispute Management Suite from Visa and Verifi • Implementing software for customer-facing products and internal corporate tools • Part of the NFCU Digital Labs team using Agile methodologies, including Scrum, pair programming, behavior-driven development, and user-focused design • Technology Stack: Pivotal Cloud Foundry, Microsoft Azure, Java microservices, Spring Framework, Maven, Angular, Selenium/Postman testing, Azure DevOps CI/CD
Graduate Teaching Assistant
2018 - 2019
• GTA for IT Problem-Solving Using Computer Programming (IT 106) and Object Oriented Java Programming (IT 206 courses). Summarized concepts, conducted labs and formulated questions for assignments
IT Technical Support Assistant
2018 - 2018
• Responsible for internal ticketing system • Diagnose, troubleshoot and resolve a range of software, hardware and connectivity issues • Address VoIP issues and support clients for L1/L2 IT issues • Involved in installations and maintenance of SCCM, VMs, UNIX, and Windows systems • Conduct daily system monitoring, verify the integrity and availability of all hardware, server resources, systems and key processes • Install new / rebuild existing servers and configure hardware, services, settings, directories, storage, etc. in accordance with standards and project/operational requirements
Software Engineer
2017 - 2018
• Integrated Twitter, Facebook, LinkedIn, YouTube & Google+ APIs to be used as connectors in the platform • Developed an extensive module to edit and detect image similarities • Optimized backend to reduce load times with no tradeoffs by developing algorithms that could detect feed similarities both in text and images • Lead a team of three to orchestrate a Chrome Extension to be used as a website assistant. • Developed a News Aggregator Application to compile news from various sources • Developed an algorithm to rank person’s social impact ranking based on their online presence • Wrote complex webscapers to get million+ text samples to be trained on AI engine • Developed a robust module to store & maintain user info by integrating AWS S3 APIs into the system • Wrote scripts for migrating databases from one server to other without effecting the current online users
Research Intern
2017 - 2018
Worked on a framework that learns the physical properties of the content/object from unlabeled data using an unsupervised representation learning GAN, which explicitly encodes basic physical laws into the structure and uses them, with automatically discovered observations from videos, as supervision.
Marketing Management Intern
2017 - 2017
• Had training in presentation skills, application of marketing principles and analysis of few Harvard Business School cases • Developed product and service marketing strategies for local startups • Assisted in market analysis to gain insight on competition pricing and consumer data
Education
Master's degree
2018 - 2020
Bachelor's degree
2014 - 2018