College: Shri Sant Gajanan Maharaj College of Engineering Shegaon
Specialization: B.E. (Mechanical Engineering)
CGPA: 7.95
Year of Passing: 2024Mechanical Engineering student proficient in SolidWorks, CAD, CATIA, and Fusion 360. Diversifying into software development with expertise in core Java, web development, DevOps, AWS, and Cloud Computing. Seamlessly merging traditional engineering with tech advancements, I aspire to innovate and contribute at the intersection of mechanical engineering and software development.College: Deepchand Chaudhary Jr. College, Seloo
Specialization: Science
Percentage: 67.08%
Year of Passing: 2020In my HSC, I honed vital life skills like problem-solving, time management, presentation, teamwork, and adaptability. Additionally, I ventured into technology, mastering Photoshop, Basic Computer Commands, and Windows navigation. This diverse skill set not only enhanced my academic journey but also prepared me for versatile challenges beyond the classroom.College: Deepchand Chaudhary Vidyalaya, Seloo
Board: Maharashatra State BoardPercentage: 76.80%
Year of Passing: 2018
In my SSC journey, I proudly secured the second rank in the Science Exhibition, showcasing my passion for innovation. As a standout hockey player, I excelled in sports, demonstrating my commitment to excellence. Additionally, my academic achievements were notable, earning me the second rank in mathematics within my School during the SSC exams.Company: Capabl AICTE Program
Starting Date: 25 June 2023
End Date: 25 July 2023
Company: Internpe
Starting Date: 5 June 2023
End Date: 2 July 2023
Company: IBM SkillBuild AICTE Program
Starting Date: 25 Dec 2022
End Date: 15 Feb 2023
Developed DyTSARS, a versatile train software enabling real-time seat allocation even during travel. Achieved user-friendly interfaces, QR code generation / verification, and scalability for efficient passenger management and improved travel experience.
Revolutionizing coding with a user-friendly online editor. Features real time collaboration, syntax highlighting, and Git integration. Developed using HTML, CSS, JavaScript, Node.js, and MongoDB.
Demonstrates how to package a web application as a Docker container image and run it on a Google Kubernetes Engine (GKE) cluster. The web application is then deployed as a load-balanced collection of replicas that can scale to meet the demands of your users.
Leveraged Python and natural language processing to develop Jarvis, a personal AI assistant capable of scheduling appointments, controlling smart devices, and providing real-time information. Improved daily efficiency by 20% and reduced manual tasks by 30%.