Innovating with Code, Engineering with Passion
I began my education in 2018 and have been passionate about
technology ever since. I am a passionate with a strong foundation
in computer science. I hold a Bachelor of Engineering in
Information Technology from Gujarat Technical University, where I
gained essential knowledge in software development, networking,
and systems. Currently, I am pursuing my Master's in Computer
Science at Loyola Marymount University, where I am honing my
skills in Full-stack development, Data Science, AI, and cloud
technologies.
I started gaining professional experience in December 2020 and
have since worked as Software Engineer with 4+ years of experience
in full-stack development, databases, devOps, machine learning,
statistical modeling, data analytics, and data engineerin. With
the skilled in JavaScript, Python, React.js, Node.js, SQL,
PostgreSQL, MongoDB, Docker, TensorFlow, Power BI, and AWS.
I have experienced in building scalable web applications and
microservices, optimizing performance, and deploying cloud-based
solutions with CI/CD pipelines. Proficient in building predictive
models, handling large datasets, and deploying AI-driven solutions
to optimize decision-making. Passionate about transforming raw
data into actionable insights. I've also mentored and trained a
team of 10 developers in full-stack programming.
Coursework: Artificial Intelligence, Data Science, Agile
methodology, Database Systems, Program Language Semantics
GPA - 3.76
Coursework: Object Oriented Programming, Web Programming, Mobile
Application Development, Operating System and Virtualization,
Data Structures and Algorithms, Data Compression
GPA - 3.82
Developed an AI-driven system that provides real-time feedback on job interviews by analyzing tone, speech, eye contact, and pronunciation to help users improve their interview skills. Users are asked to upload their resume and job description, based on which the interview is conducted.
Created a student engagement platform designed to enhance academic support, track performance, and provide personalized learning experiences. It utilizes machine learning, NLP, deep learning, and computer vision to analyze student behavior, predict academic performance, and offer tailored recommendations.
Created a platform that connects businesses and investors through syndicate investments, allowing businesses to secure funding based on future revenue, while enhancing investor participation and transaction efficiency. The platform enables individual investors to collaborate with others on a single investment.
Built a social networking platform that allows users to connect with potential matches, share posts, and engage in real-time messaging, with analytics to enhance the user experience and engagement. The platform helps individuals find their life partner.