Leading an innovative research initiative to customize routers and edge devices, advancing the capabilities of recommendation systems. This project aims to dramatically improve data efficiency and accuracy, paving the way for smarter, faster content delivery directly from the network's edge.Focused on harnessing the power of edge computing to personalize user interactions, my research seeks to reduce latency and enhance the relevancy of recommendations. By processing data closer to the user, the project promises a significant.

• Leading the initiative to develop a cutting-edge testing tool tailored for VR environments, aimed at empowering VR developers withrobust capabilities for creating, executing, and managing test cases. This tool is designed to address the unique challenges of VRapplication development, streamlining the process of identifying and rectifying issues to enhance overall application quality the testcase smells, and code smells are identified using our Java VR tool, and we are also working on creating the Pipeline.• This project introduces an advanced testing platform that enhances VR experiences by ensuring the reliability, performance, andimmersion of VR applications, setting new quality assurance benchmarks in the dynamic field of virtual reality, facilitating test plans,reviewing test scripts, and working on CI/CD by creating automated GitHub actions and using Jenkins for Infrastructure Managing.

I executed essential operations for the company on assigned tasks, implemented Python for the backend of the automation toolsand test cases, and worked along with business analysts, developers, and customers according to the Agile Framework.• In conjunction with the behave module in Python, I utilized the Gherkin Language for the BBD framework and Selenium testing, all accomplished on theIntelliJ IDE, and increased the overall system quality, giving the product 97% quality of service by also fixing the CI/CD issues.• Additionally, I employed Postgres SQL, Docker, and Rest API tools like Postman to verify features on the company applications and Created a project baseline.• Collaborating with the North American Platform team at Stryker, I played a key role in important feature verification, code fixes, andbug fixes, contributing to the success of the Engage 7.0 product for the entire Stryker R&D department• All the Metrics like several feature tests and the efficiency test rate score, quality rate, and Number of bugs found and cleared are allplotted on the panels in the Grafana. Moreover, I contributed to creating, maintaining & reporting the Test Plans.

• Spearheaded the implementation of a Face Recognition-based attendance system for the project, provided by RannlabTechnologies, utilizing Python programming language and Image processing Techniques.• Collaborated closely with the Managing Director of Rannlab Technologies to develop the entire product, achieving animpressive accuracy rate exceeding 95 percent, and designed Functional Specifications and Project Plans.• Successfully delivered a highly accurate and efficient attendance solution, significantly benefiting schools in the Noidaregion. Created a website for managing front-end tasks with HTML,CSS,JAVASCRIPT• Measurements like accuracy and several images furthermore metrics are calculated and displayed using Grafana.

Independently led the project on the Automation of Server and IT Infrastructure Status Monitoring at the National Atmospheric Research Laboratory. Developed a software solution achieving a remarkable 97 percent accuracy in detecting non-functional computers.Implemented the project through web/desktop application development using Python, SQL Server, and website hosting concepts.We utilized Python and IntelliJ IDE as key tech stack components, demonstrating proficiency in software development and IT infrastructure automation.

Spearheaded the development of a website for Team Claw, enhancing the frontend application with HTML, CSS, and JavaScript for an improved user experience.Implemented PHP for the backend application, contributing to a notable increase of over 45 percent in user satisfaction compared to the previous website.

Learned tools and techniques of data science and implemented it ongiven projects.Tech Stack: Python, Machine Learning, data science

Worked on practical task Interface with a stock price data feed andUse JPMorgan Chase frameworks and tools and data visualization.Implemented it by using JP MORGAN CHASE framework works and toolsand gained practical skills in React, typescript, web applications andTechnical Communication, Financial Analysis.Tech stack: python, react.

Led the practical task of cracking a leaked password database using the Hashcat tool for unhashing, achieving a 90 percent system resilience improvement; validated with MD hashing algorithm.