Full-Stack Developer Code Optimization Enthusiast C++ Python ReactJS
More About MeHi, I am Mohit Mahesh Vaswani. I am currently pursuing a Master's in Computer Science and Engineering at University at Buffalo. I am passionately interested in developing product-based web applications.
I have more than 6 years of programming experience and several years of industry experience as Software Engineer. I worked as Full Stack Developer working on Javascript Based Frameworks.
I have profound knowledge of Python, C++, and JavaScript. I also have experience working in frameworks like React JS and Next JS, Django during my Work Experience.
As an ambitious Full-Stack Developer, I'm wholeheartedly committed to building robust product-based web applications. With a solid foundation in the MERN stack, I bring industry experience that includes expertise in NextJS, ReactJS, and Python REST APIs. My passion for web development propels me to stay at the forefront of emerging technologies, ensuring that I deliver cutting-edge solutions that meet user needs and drive success.
January 2024 - Present
May 2023 - December 2023
January 2021 - August 2022
January-2020 - August 2020
August 2022 - Present
Focusing on helping students with their career development. Taking part in appointments and working collaboratively through a series of professional development activities, supervision, and reading to expand their own knowledge of career development.
August 2022 - Present
Doing my Masters in Computer Science an Engineering at prestigious State University of New York, University at Buffalo. I am doing my minors in Software Engineering and Systems. Working on Courses like operating systems, distributed systems which are improving me as a Computer Science Student.
August 2017 - May 2021
Did my Bachelors in Information and Communication Technology at School of Engineering and Applied Sciences, Ahmedabad University. I worked upon courses like Software Engineering, Cloud Computing, Signals and Systems, Data Analytics and Visualization etc. These courses helped me to develop skills required to work in industry.
As an aspiring Full-Stack Developer with a focus on the MERN stack, I am dedicated to developing robust and user-friendly product-based web applications. With two years of industry experience in software development, I have honed my skills in building dynamic and interactive web applications using JavaScript frameworks and libraries, such as React and Node.js, while utilizing Python for backend services. I am also Enthusiastic about new Computer Architectures and eager to learn about them. I am passionate about staying up-to-date with the latest web development trends and technologies, and enjoy collaborating with teams to create innovative solutions that meet business needs. With a strong commitment to producing high-quality code and delivering results, I am excited to bring my skills and expertise to new opportunities in software development.
Forward Focus Career Guidance , is a web-application devised for serving Undergraduate/Graduate students from various streams to make them realize their true potential and suggest options for their future studies that align with their natural inclinations. The Web Application was developed applying HTML-CSS-JS, Python-Django and MySQl, and hosted on Amazon ec2 instances utilizing cloud computing principles.
Successfully designed and implemented an 8-bit processor using Verilog and Xilinx Vivado, which included simulation and synthesis of the Verilog code and testing of the resulting FPGA hardware.Demonstrated proficiency in hardware design and programming by independently completing a complex project utilizing tools such as Vivado and Verilog.
Designed and implemented kernel modules including threads management, user programs management and virtual memory module.Demonstrated a primary focus on utilizing Linux systems to simulate the performance of pintOS during the development phase.Guided a team of 3 to successful completion of a group project.
We implemented a model based on Convolutional Nueral Networks(CNN) using keras library of python. The model was initiated in an attempt to solve a social problem by detection of traffic density. We operated image data to train and test our model, the data set was captured at Panchvati Cross roads, Ahmedabad, Gujarat.
Under this project, we studied a data set of 50,000 tweets and analyzed these tweets. We then pre-processed the data using tokenization and POS filtering. We then applied Principle Component Analysis technique to extract the important features from the pre-processed data and classified these tweets into 6 different emotions.