Rohit Chandra Joshi

I am a highly motivated individual with a passion for computer science and artificial intelligence. Currently pursuing a B.Tech degree in Computer Science with a specialization in Artificial Intelligence and Machine Learning (AIML) at Sharda University, I strive for academic excellence, maintaining a CGPA of 9.38*.

In my intermediate studies at V.V.M.I.C. Champawat, I excelled in the field of Science, achieving impressive percentages in PCM (91.33%) and overall (87%) in 2019.

I have a strong programming background, with advanced proficiency in Java and intermediate knowledge in Python, C, JavaScript, HTML, CSS, and SQL. I am also familiar with PHP. Alongside my programming skills, I am experienced in working with frameworks and libraries such as Pandas, Numpy, Scikit-learn, TensorFlow, and React.js. My technical expertise extends to machine learning, pattern recognition, natural language processing (NLP), neural networks, deep learning, Android development, and MySQL.

I possess a solid foundation in data structures and algorithms, OOP, DBMS, OS, and CN, enabling me to approach problem-solving tasks with efficiency and creativity. I am well-versed in tools like Git, AWS, GCP, Mac, and Windows, allowing me to collaborate effectively and adapt to different development environments.

Beyond technical abilities, I possess excellent communication, teamwork, problem-solving, and leadership skills. I thrive in collaborative environments and enjoy working with diverse teams to achieve common goals.

I have successfully completed certifications such as "Machine Learning A-Z Hands-on Python" (May 2021 - July 2021) and "Google Project Management" (October 2022 - November 2022), further expanding my knowledge and expertise.

Throughout my academic journey, I have undertaken various projects that demonstrate my practical skills and innovative thinking. For instance, I developed "MYPAUDHA," an intelligent Android app for plant disease detection and cure, utilizing machine learning and Android Studio. By implementing convolutional neural networks (CNN), I accurately identify plant diseases and provide specific treatment suggestions. Another notable project is "Human Face Emotion Recognition Research Project," where I achieved an impressive accuracy of 92% on the Young AffectNet-HQ dataset using a convolutional neural network.

Apart from academic projects, I have also worked on real-world applications. One such project is the "Smart Android App for University Management System," which involved implementing face recognition technology for automated attendance tracking and developing features for timetable management and student grades. Additionally, I developed the "Divyang Banking App," a web app using React.js and the annyang API, designed to provide accessible banking services for physically challenged individuals.

In terms of professional experience, I completed a machine learning internship at Smart Knower from June 2022 to August 2022. During my internship, I worked on a gender classification model as a minor project and contributed to a major project focused on income prediction using various machine learning algorithms.

As an active member of the Google Developer Student Club, I served as the Machine Learning Lead from 2022 to 2023. In this role, I organized two ML Study Jam Bootcamps, fostering a collaborative learning environment and promoting knowledge sharing.

I am proud of my achievements, including securing the 5th rank in the 4th Technovation Hackathon at Sharda University in 2022 and the 4th rank in the Smart 'o' Hack Hackathon at MAIT in the same year. Additionally, I received recognition in the district merit list of the 12th class board exams in 2016 and participated in the National Level Science Exhibition organized by the Government of India in 2019.

Lastly, I have contributed to academic publications, including an evaluation of supervised machine learning models for handwritten digit recognition, presented at the 2022 4th International Conference on Advances in Computing, Communication Control, and Networking (ICAC3N).

Overall, I am a dedicated and accomplished individual with a strong technical skill set, a passion for innovation, and a drive to make a positive impact through technology.