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Dallas, Texas | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE
https://LINKEDIN LINK AVAILABLE
SUMMARY
My expertise lies in crafting robust backend applications, microservices, and APIs using Java, Spring Boot, and Node.js.
On the frontend, I excel in creating engaging user experiences with React.js and Next.js. I've effectively collaborated
with diverse teams, integrating user feedback and design inputs seamlessly to deliver interfaces.
With hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and Artificial Intelligence (AI),
I have successfully implemented models to drive operational efficiency. Leveraging Python, Rasa AI, Segment Anything
Model AI, TensorFlow and advanced machine learning techniques, I have automated inventory problem detection and
integrated sophisticated real-time analytics dashboards.
In Robotic Process Automation (RPA), I have leveraged UiPath to automate various business processes, significantly
reducing manual workloads and aligning with organizational objectives. My initiatives have targeted processes such as
invoice processing and report generation, empowering business users to take ownership of automated processes.
I have extensive experience working with a variety of databases, including MySQL, PostgreSQL, MongoDB, Oracle
Database, and Microsoft SQL Server. This expertise has enabled me to design and implement data storage solutions,
ensuring optimal performance and reliability for various applications.
Additionally, my expertise extends to configuring Airflow, Grafana, and Prometheus for real-time monitoring and
alerting. I have played a role in integrating monitoring tools with existing pipelines, ensuring consistency across
environments and reliability.
My multifaceted expertise uniquely positions me to confront and overcome complex challenges while driving software
development innovation forward. I am dedicated to ensuring that organizations remain at the forefront of technological
advancements and maintain a competitive edge in dynamic market landscapes.
EDUCATION
The University of Texas at Dallas
Bachelor of Science | Computer Science | 2019-2023
PROFESSIONAL EXPERIENCE
Walmart Global Tech, Bentonville, AR, Feb 2024 - Present
Software Engineer II
Developed backend applications using Java and Spring Boot, tailored to the unique requirements of Walmart's
Apparel Assortment Team.
Addressed critical business challenges by developing APIs, resulting in a significant reduction of offshore Purchase
Order (PO) processing times across key regions such as Alaska, Puerto Rico, and Hawaii by two weeks.
Implemented backend enhancements, particularly focusing on the size and pack components of the assortment
workflow, ensuring seamless operations and fostering efficiency gains.
Collaborated with product managers and merchants to translate intricate business requirements into technical
solutions, fostering alignment between technology and business objectives.
Contributed to the empowerment of apparel assortment merchants by implementing new features and
enhancements aimed at optimizing the overall merchant experience.
Home Depot Orange Works Innovation Lab, Atlanta, GA, August 2023 December 2023
Software Engineer Intern
Developed inventory problem detection automation in Home Depot stores, analyzing 500+ images utilizing the
Segment Anything Model AI (SAM AI), Python and machine learning techniques.
Achieved improvement in operational efficiency by providing a faster method to identify issues across multiple
Home Depot aisles, resulting in an enhanced customer shopping experience.
Developed a prototype that serves as a foundation for future expansion and refinement by the data science
teams, facilitating continuous innovation in inventory management.
Collaborated closely with UX designers to seamlessly integrate the SAM AI model into Home Depot's existing
inventory tracking system, emphasizing user-friendly design and functionality.
Conducted rigorous testing and validation of the SAM AI model to ensure high accuracy and reliability in
identifying inventory problems, thereby contributing to improved inventory management efficiency.
Implemented image segmentation techniques, reducing the manual effort required by the internal merchandising
team to identify and address issues, leading to more streamlined operations and improved productivity.
Implemented TensorFlow for predictive maintenance within the inventory management system, enabling
proactive identification of potential equipment failures and optimizing inventory handling processes.
Walmart Global Tech, Bentonville, AR, May 2023 - August 2023
Software Engineer II Intern
Developed a comprehensive metrics dashboard using Next.js and Java Spring Boot, aimed at visualizing key
metrics related to Apparel Assortment plans and relays.
Improved data accessibility and decision-making processes by implementing RESTful APIs to retrieve and display
various plan and relay metrics, empowering merchants to make informed, data-driven decisions.
Worked closely with cross-functional teams to define key performance indicators (KPIs) specific to plan and relay
metrics, ensuring accurate data visualization and alignment with business objectives.
Assisted in user acceptance testing and gathered feedback from merchants to iterate and improve dashboard
usability and functionality, ensuring a seamless and intuitive user experience tailored to plan and relay metrics
analysis.
Home Depot Orange Works Innovation Lab, Atlanta, GA, August 2022 May 2023
Software Engineer Intern
Implemented a Conversational Product Search chatbot using the Rasa AI framework, aimed at enhancing the
customer experience by enabling intuitive product searches and personalized recommendations.
Developed a prototype to demonstrate the potential of conversational chatbots for product search, leading to
further development by a data science team to expand upon the prototype's capabilities.
Seamlessly integrated the chatbot with Home Depot's extensive product catalog and leveraged advanced Natural
Language Processing (NLP) models to enhance search accuracy and relevance.
Designed and implemented a sophisticated real-time analytics dashboard using React.js and Node.js, providing
invaluable insights into customer interactions with the chatbot and enabling continuous optimization.
Collaborated closely with UX designers to conduct comprehensive usability testing and iterate on the chatbot's
conversational flow and interface design, resulting in heightened user engagement and satisfaction.
Applied TensorFlow for image recognition and classification within the chatbot, allowing users to upload images of
products they're interested in and receive accurate search results and recommendations based on visual similarity.
This enhancement improved the chatbot's capability to assist users in finding products quickly and efficiently,
further enhancing the overall customer experience.
Home Depot, Atlanta, GA, May 2022 July 2022
Software Engineer Intern
Engineered an application using Node.js and Google Cloud Platform's BigQuery data warehouse to automate
the sending and resolution of alerts from Airflow to PagerDuty, effectively notifying backend teams of SLA
breaches and ensuring adherence to SLA guidelines.
Implemented a custom dashboard utilizing Grafana and Prometheus to monitor system performance metrics
and alert thresholds in real-time, providing actionable insights into system health and performance.
Integrated the monitoring tools with existing CI/CD pipelines, facilitating automated deployment of alerting
configurations and ensuring consistency across development, testing, and production environments, thereby
enhancing operational efficiency and reliability.
Mary Kay, Addison, TX, May 2021 August 2021
Robotic Process Automation (RPA) Intern
Developed automation solutions using UiPath and Robotic Process Automation (RPA), focusing on business
processes such as invoice processing, data entry, and report generation. This initiative significantly reduced manual
workload by 50% within the accounting, offshore, and financial teams, automating financial metric management
previously handled via Excel sheets.
Collaborated closely with cross-functional teams to identify key automation opportunities, prioritize projects, and
establish success metrics to gauge the impact on critical business objectives, ensuring alignment with organizational
goals and priorities.
Provided comprehensive training and documentation to business users on the utilization of RPA tools and best
practices, empowering them to take ownership of automated processes.
CS Outreach Program, Richardson, TX, August 2019 December 2019
Computer Science Tutor
Delivered engaging instruction in foundational algorithmic concepts utilizing Scratch MIT to a group of students
Developed and implemented weekly lesson plans tailored to the varying skill levels for students.
Provided one-on-one guidance and feedback to students, encouraging them to develop problem-solving skills.
ORGANIZATION EXPERIENCE
UTD Blockchain, University of Texas at Dallas, January 2021 May 2022
UTD Blockchain Technology Lead
Led the advancement of blockchain technological initiatives within the club.
Directed the planning and execution of technical projects, ensuring alignment with club objectives.
Cultivated partnerships with leading Blockchain corporations to develop mutually beneficial projects.
AI Society, University of Texas at Dallas, August 2019 May 2022
AI Society Member
Engaged in collaborative projects and assignments centered around Artificial Intelligence
Participated in hackathons and coding competitions to refine technical skills.
SKILLS AND CERTIFICATIONS
Programming Languages: Java, C++, Python, JavaScript, SQL, CSS, HTML
Automation Tools: UiPath Robotic Process Automation
Programming Frameworks: Spring Boot, React, Node.js, Next.js, Rasa AI, Segment Anything Model AI, TensorFlow
Integration Tools: Airflow, Grafana, Prometheus
Databases: MySQL, PostgreSQL, MongoDB, Oracle Database, Microsoft SQL Server
Emerging Technologies: Machine Learning, Artificial Intelligence, RAG-based Generative AI
Certifications: UiPath Certified RPA Associate
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