I am a dedicated Software Engineer with a fervent interest in solving complex problems through innovative applications. Currently, I am pursuing my M.S. in Data Science and AI at San Francisco State University, where I maintain a GPA of 3.9 (Expected Graduation: Dec 2024). With over four years of industry experience, I have honed my skills across a diverse array of technologies and frameworks, constantly striving to push the boundaries of what is possible. My journey is driven by a passion for leveraging technology to create impactful solutions and drive meaningful change.

• Software Engineering Tutor (Full-Stack) CSC 317- Introduction to Web Development, SFSU
  Sep 2023 - Present, San Francisco, CA

  • Leading lectures and office hours in HTML, CSS, JavaScript, React, Node.js, and API development for 135+ students.
  • Providing one-on-one support and feedback to 100+ students on assignments and 10+ group projects.
  • Automating 35% of grading with a custom shell script, saving 5 hours per week and increasing accuracy.

• Web Development Bootcamp Fellow (Full-Stack) CODEPATH
  Jan 2024 - May 2024, San Francisco, CA

  • Selected for a full-stack JavaScript program as one of 250 fellows out of 2500+ applicants.
  • Developed a discussion forum using Vite (ReactJS), NodeJS, MySQL enhancing user engagement by 25%.

• Software Engineer (Full-Stack) MU SIGMA INC.
  Oct 2019 – July 2023, Bengaluru, India

  • Built and deployed a robust CMS platform using React.js, Node.js, PostgreSQL, Redis, and Alfresco CMS, generating over $500K in revenue.
  • Designed and optimized a Real-Time Data Streaming application, reducing simulation times by 50%.
  • Led a team to develop a work tracking and evaluation application with Angular and PostgreSQL, reducing review time by 50%.

• EduBridge

  • Developed a learning management system using React.js and Node.js, deployed on AWS, improving security and efficiency by 30%.

• FlareGraph

  • Created a web app using Plotly and Python Dash for visualizing fire incidents, improving decision-making with intuitive filtering.

• KnowledgeGrid

  • Built a knowledge-sharing platform using PHP and MongoDB, implementing Python algorithms for keyword extraction.

• AllocMate

  • Automated project allocation and evaluation using JSP, Servlets, JavaScript, and DBMS, enhancing efficiency and accuracy.

• San Francisco State University
  • M.S. in Data Science and AI, 3.9 GPA
  • Expected Graduation: Dec 2024

• Email: naisarg.halvadiya@gmail.com
• LinkedIn: linkedin.com/in/naisarg-halvadiya
• GitHub: github.com/nh0397

• I love the art of debugging and have been constantly trying to master it.
• Enjoy working on challenging problems and improving efficiency in various processes.

Feel free to reach out if you have any questions or if you just want to connect!