I am a highly motivated computer science master's student with a strong background in web development, machine learning, and data analysis. I am proficient in a variety of programming languages and frameworks, including Java, Python, ReactJS, and TensorFlow. Throughout my academic career, I have tackled projects that address real-world challenges, from building a self-driving car simulation to detecting spam and malicious content. I am a team player with excellent problem-solving and time management skills, and I am eager to leverage my abilities to contribute to innovative projects.
Analyst Intern
Developed of Dark web Crawler Detected Potentially fraudulent UPIs on the various social media platforms. Analyzed and classified over 100,000 websites based on malicious content.
Location: Delhi, New Delhi, India
March-2020 to September-2020
.webp?h=8c0390c311923da6aedfb76f5a3a48a7){kind=logo}
Web Development Intern
Developed web application portal for CoVid-19 patient data management.
Auto Synchronized Hospitals Database of over 10,000 entries with the web application. Developed, Tested and Maintained reusable code for the web application
Location: Mumbai, India
July-2020 to September-2020
Research Intern
Identified and found Proof of CSAM being shared over social media. Worked with in-field people working in rural areas for sharing awareness. This research was funded a grant of $91,666.80 by CIFF,UK.
Location: Mumbai, India
Ocober-2019 to January-2020
Master of Science - Computer Science
Location: Arlington, Texas, United States of America
August-2022 to May-2024
CGPA: 3.57/4.0
Bachelor of Technology- Information Technology
Location: Mumbai, Maharashtra, India
August-2017 to May-2021
CGPA: 7.74/10.0
Technical Skills
Programming Languages
Frameworks
DBMS
Mar 2024 - Present
The project on Self Driving Car in Carla Driving Simulator was something like biting more than I can chew. Self-Driving car are in itself an unsolved problem yet. Yes, we see videos of tesla cars having self-driving feature, but it is still in beta-testing. What I am doing in this project is more than that. It has more focus on changing road conditions rather than just driving. I developed a Sudo-discrete random exploratory reinforcement learning model that has potential to achieve good accuracy. The model is still under training and perfecting itself but has shown promising results. The challenge here is to process huge amount of data quickly as self-driving is a continuous problem. As such I used help form Google Cloud Platform to get a VM with a really good GPU like L4 which can handle too much data easily. I am using PPO algorithm to train the model. Custom reward metric based on infraction caused rather than traditional reward metric of distance travelled.
Jul 2023 - Present
Implemented a convolution neural network to identify ASL signs. Applied use of Google’s
Media pipe API to detect gestures. Classified multiple ASL signs using neural networks. Extending the research to transcribe ALS to English subtitles using NLP
Apr 2024 - May 2024
Developed 3 models SVM, K Means and CNN for SMS Spam detection. Used oversampling to handle imbalance dataset. Achieved 99.6% accuracy for SVM with sentiment analysis showing proof that sentiment analysis impacts spam detection.
Achieved 90+ accuracy for CNN. Low accuracy was found for K Means as the data gets sparse with additional dimension.
Oct 2023 - Dec 2023
Developing a online tutoring platform with exam, assignment and grade management system similar to CANVAS. MYSQL for database design, REACT for frontend and LARAVEL for backend. Using REST API for interaction between frontend and backend. Using JWT token for authentication and authorization of requests from front end. Has all the features of CANVAS and plan to add integrated mailing and chatting system.
Sep 2020 - Apr 2021
A project to visualise patient data, manage and add new patients and their reports for a hospital. A patient trend spotter where every data about every patient in the hospital can be analysed and shown in interactive charts that will also show the progression of a disease in a patient. Based on the progression of COVID in patient, predictions for future inventory are made and the hospital personnel can take required steps to mitigate the issues.
