Portfolio

Senior Software/Firmware Engineer in Marvell India, Working in Precision Time Protocol in Automotive Domain.Master of Technology in Computer Science from NIT Delhi. 3.5 years of experience executing various business functionality requirements, delivering stable and scalable approaches to improve target Application Development within time and quality parameters as per project management and best practice guidelines under an organization of repute.

Skills

AZURE, C#, DOTNET CORE, MicroService, C++, Python, Machine Learning, Deep Learning, Precision Time Protocol, Firmware Development

Experience

SENIOR SOFTWARE-FIRMWARE ENGINEER

MARVELL SEMICONDUCTOR

Working on Precision Time Protocol in Automotive Domain. Involve in Firmware Development for Automotive Switch Development.Working on creating the development automation and testing automation.

SOFTWARE-FIRMWARE INTERN

MARVELL SEMICONDUCTOR

Working on creating tools and framework for the Business Units. Participating in creating unit tests and development of the product. Involved in the maintainability of the documentation of the product.

ENGINEER (DOTNET CORE DEVELOPER)

NAGARRO INDIA SOFTWARE PVT, LTD

Worked on the domain of Investment Banking BackOffice responsible for developing, and improving the functionality and analysis of the functional impact of the Corporate Actions Service. Problem-solving and Optimizing ability.

Education

National Institute of Technology , Delhi

Mtech - Computer Science (2022 - 2024)

GPA 8.9

Dr. A.P.J Abdul Kalam Technical University

BTech - Computer Science (2016 - 2020)

GPA 8.34

Achievements

NIT Delhi Convocation 2024 – NIT Delhi MTECH 2024 Silver Medalist recieved by Hon’ble Vice President of India.

Nagarro Software Pvt Ltd – Achievement of recognition in Outstanding Work in the project.

Completed 350+ questions of LeetCode. 5 Badges earn on leetcode

Publication

SCIENCE DIRECT JOURNAL - SRANK : Guiding Schema Selection in NoSQL Document Stores (Co-Author)

MTech - Computer Science (2022 - 2024)

This paper presents a model for evaluating schema alternatives in NoSQL document stores, emphasizing the importance of schema design for performance. It includes a four-phase process to analyze schema options and recommends the best choice based on a computed Schema Rank (SRank). A case study on a Hotel Reservation System demonstrates the model’s effectiveness in optimizing query response time, storage efficiency, and overall performance. Refer : Paper Link

IEEE CONFERENCE - Cost Model for Schema Choices: Performance and Trade Analysis (Author)

MTech - Computer Science (2022 - 2024)

This paper addresses the challenges of schema design in NoSQL databases by employing directed acyclic schema graphs and knowledge graphs to analyze field interdependencies in workload queries. It utilizes a Cost Model to estimate and identify optimal schemas, demonstrating that the proposed approach achieves shorter query execution times, lower latency, and improved maintainability. This significantly simplifies schema decision-making for users, a critical issue in the field for decades. Refer : Certificate Link

Projects

Optical Character Recognition of Hindi Characters Using Logistic Regression (using built-in and user-defined function)[M.Tech 1 Semester Project ] Refer : Project Link

Cancer Detection Using Transfer Learning [M.Tech 2 Semester Project ] Refer : Project Link

Resume

Link : Resume Link

INTERESTS

I like to Travel and Dance. I also like to spend my time on LeetCode to solve different types of Programming. I like the combination of Hot Tea and Interesting Book in my free time.