Hello, World!

I'm Harsh.

a Software Engineering Graduate student from San Jose State University. Skilled in .NET Core, TypeScript, and React. Experienced in full-stack development and cloud computing. Passionate about exploring new technologies. Let's connect and collaborate on innovative projects.

01 SKILLS 02EXPERIENCE 03PROJECTS

info@harshnaik.com

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Skills

Experience

Internship

Application Developer

June 2023 - August 2023

Played a pivotal role in all phases of developing a team collaboration application, including requirements gathering, design, development, unit testing, functional testing, and load testing. The application includes features like a suggestion system with voting and commenting options, announcements, a contact list, to-do list management, and tracking of JIRA capabilitie
Tech Stack: .NET, React, Azure Functions, SQL Server, Stored Procedure C, Entity Framework, Web API, Docker, JIRA API , JQL

Full-Time

Programmer Analyst

Dec 2021 - July 2022

Worked on all phases of the application development from requirements analysis, design, development, and testing of the application and employed several design patterns
Broad involvement in the .NET system and different innovations: C#, Angular, Web API, and Microsoft Azure, Logic Apps, Angular, Power Platform

Internship

Full Stack Development Intern

Apr 2021 - Sep 2021

Developed Multiple Microservices such as Authentication, Consumer, Policy, and Quotes for Policy Management System using JWT Authorization, DotNet Core Web API, and Deployed them on Azure cloud
Frameworks and Technology: C#, Entity Framework, MVC Architecture, Web API, and Microsoft Azure

Internship

Research Assistant

May 2020 - July 2020

Responsibility: Worked on “Optimizing Parallelization of Legacy Code on the appropriate HPC Platform” project, funded by the Department of Atomic Energy, India
PIC technique using CUDA, which simulates millions of particles in a single iteration and tested it on GTX690, and Quadro K620. Through which we achieved approx. 50x speedup

Projects

SaaS GPT Blogger

SaaS platform built with Next.js 13, React, Tailwind CSS, Prisma, and Stripe for Payment Integration. It offers a wide range of functionalities, including User management , Blog Generation and Blog Management. This user-friendly platform is designed to seamlessly provide these features to users. With its intuitive interface and integration with authentication and subscription services, platform makes it easy for users to interact with artificial intelligence and effortlessly generate blog

E-commerce Cloth Store

Developed a high-performance e-commerce application with 13 individual microservices. Implemented Choreography pattern for microservice architecture and used JSON for inter-service communication. Incorporated Apache Kafka for message queuing, resulting in an overall increase in processing speed of 30%. Deployed on Docker with 99.99% uptime. Tech Stack: NodeJS, MySQL, MongoDB Atlas, .NET Core, Apache Kafka, Docker, React.js, jQuery, Postman, Apache Xampp, Git.

Covid Norms Detection System

Developed a highly accurate detection system for Face Mask Detection and Social Dis- tancing Tracer with a 98.75% accuracy rate using CNN (TensorFlow, Keras, Pretrained ResNet50v2) and a YOLO-based DNN. Trained the system on 10,000 images with a processing speed of 150ms per image and integrated real-time video analysis ca- pabilities. Achieved a precision of 97.8% in identifying mask usage and social distancing violations, leading to improved safety compliance in public spaces.

Cashflow Minimizer

This interactive project utilizes HTML, CSS, and Javascript to solve complex cash transactions dynamically. It leverages Apache servers for generating dynamic input values and implements the Binary Heap algorithm for space and time optimizations. The output intelligently suggests the most efficient way to resolve transactions, such as directly transferring cash between individuals.