React Js Machine Learning

Lakshmi Manohar Chippada

Binghamton, NY 607-***-**** *********@**********.*** Manohar Chippada EDUCATION

Binghamton University, State University of New York, Thomas J. Watson College of Engineering and Applied Science Master of Science in Computer Science August 2023-May 2025 Relevant Coursework: Operating Systems, Programming Languages, Design analysis and algorithm, Database Management Systems GITAM University, Vishakhapatnam, AP, India

Bachelor of Science in Computer Science and Engineering July 2020 Relevant Coursework: Data Structures and Algorithms, Database Management Systems,Web Development, Computer Networks, Machine Learning

TECHNICAL SKILLS

Programming Languages: Java, Python, C/C++, JavaScript, PHP Web & Backend Technologies: React.js, Node.js, Django, Spring Boot, RESTful APIs Cloud Platforms: AWS (EC2, S3), Microsoft Azure (VMs, Blob Storage) Containerization & Orchestration: Docker, Kubernetes (EKS, AKS) CI/CD & Automation: Jenkins, GitHub Actions, Azure DevOps Databases: MongoDB, MySQL, PostgreSQL

Operating Systems: Linux, MacOS, Windows

Frontend Development: React.js, JavaScript, HTML, CSS, Bootstrap Backend Development: Node.js, Spring Boot, Django, PROFESSIONAL EXPERIENCE

DXC Technology, Professional 1 Application Delivery Bengaluru, Karnataka, India January 2021 – August 2023

• Launched resilient full-stack applications leveraging React.js, Node.js, and Spring Boot on AWS, reducing application latency by 35% and ensuring seamless user experiences.

• Designed RESTful APIs & microservices, improving data exchange efficiency by 40%.

• Developed CI/CD pipelines in Jenkins & Azure DevOps, improving deployment speed by 50%.

• Deployed and managed Dockerized microservices on Kubernetes (EKS, AKS), enhancing scalability and fault tolerance.

• Integrated multiple REST APIs into the backend to fetch the required data and optimized API-UI integration to display real-time eligibility results, detailed feedback, and appeal options, enhancing the user experience.

• Resolved critical bugs and enhanced system reliability, ensuring seamless user experience and consistent application performance.

• Contributed to the development of a cloud service-learning platform, enhancing the user experience by implementing various features.

• Attended 10 industry conferences and webinars on new technology trends to gain insights; shared findings with teams, fostering a culture of innovation that led to the adoption of three cutting-edge tools for project management.

• Conducted in-depth training workshops for new applications, incorporating real-world scenarios and practical exercises; direct feedback indicated a 90% satisfaction rate from participants and improved team confidence in application usage. Marolix Technology Solutions, Software Intern Hyderabad, Andhra Pradesh, India May 2019 – June 2019

• Designed SR Amma Charitable Trust Website to make to it more responsive to all kind of display layouts using CSS Display Grid and Flex.

• Facilitated a modular approach to feature development in React.js, streamlining the codebase and reducing development time by 15 hours per week, thereby enhancing team productivity in feature rollout cycles. PROJECT EXPERIENCE

Faster RCNN for detection of Garbage in Tensor flow May 2024

• Synthesized a tool for detecting garbage bags and container wastes thrown on roadsides or in water, This tool was developed using the Faster RCNN network with supporting framework TensorFlow.

• Proposed to detect garbage without and latency taking less than 150ms of time Technologies: Python, TensorFlow framework

Cloud-Based E-Commerce Platform March 2024

• Built a React.js & Node.js application hosted on AWS (S3, Lambda, DynamoDB, Cognito).

• Containerized six core application components into microservices utilizing Docker and orchestrated deployment with Kubernetes,

• Integrated Stripe API for payments, improving transaction success rate by 30%. ACHIEVEMENTS AND AWARDS

• Q3,Q4 champs award for best employee from DXC Technologies.

• TCS codeVita champion for season 8.

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