Skilled developer in creating applications using Machine Learning technologies. Proficient in cloud based services and database management systems. Ambitious & determined to achieve results by providing intelligent business solutions.
I’m currently pursuing Master’s in Computer Science, majoring in the field of Artificial Intelligence at The University of Texas at Arlington and I will be graduating in May 2020.
During the coursework, I have gained theoretical and practical knowledge of computer science with proficiency in Java, machine learning and databases. My vision is to develop applications that would make human lives easier using these technologies.
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Experience
• Implemented a sector-based trade recommendation system which recommends the top 5 performing stocks based on their current market price over the period.
• Captured the live data from Nifty 50 stocks using the Yahoo Finance API and stored in the database.
• Initially, the user logs into the system with his login details (username, password).
• He then selects the market capital to get a list of securities.
• After the selection, the top 5 performing stocks in the last two weeks are displayed on the basis of their growth.
• The user can select and save the stock to his portfolio with current price. So when he logs in later, the previously stored data is also visible.
• Technologies used: Java, SpringBoot, Oracle, AngularJS, Html, CSS
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Projects
Medical app for doctors using Virtual Reality (Unity3D, Blender, C#, OpenCVForUnity, SVM)
• Built an immersive application for doctors and medical trainees to perform a detailed study of human anatomy parts such as heart, brain and DNA using Unity3D platform by performing hand gestures to zoom in, zoom out and rotate these assets.
• Used SVM model to classify the real-time hand gestures performed by the user and obtained 85% accuracy.
• This project was selected among top 15% projects in the Ignited Innovators of India project competition.
Live Object detection using TensorFlow (OpenCV2, CNN, Python, Matplotlib, Numpy, PIL)
• Developed an application for detecting live objects in the frame of the user using webcam.
• Object detection model is created using TensorFlow Object detection API by making use of models trained on COCO dataset. Achieved 89% accuracy with Faster RCNN model.
Auto-scaling Web Application (AWS Cloud, Apache J-meter, Flask)
• Implemented auto-scaling for monitoring the load on the server by configuring AWS auto scaling services based on the user traffic, increasing the number of EC2 running instances.
• Used Apache J-Meter as a load testing tool for creating traffic, analyzing and measuring the performance of the web application deployed on Amazon Web Service.
Earthquake Data Visualization (Microsoft Cloud, Flask. PyCharm IDE, Redis cache)
• Created a Python Flask Web Application to Azure Database Service allowing the users to access the USGS Earthquake dataset based on depth, magnitude and time ranges. Analyzed performance by running up to 1000 random queries.
• Implemented Redis cache for caching the data which reduced the fetching time by 50%.
Full Stack website for SayItRight organization (HTML, CSS, JavaScript, PHP, MySQL, CodeIgniter, MVC, XAMPP)
• Developed an e-commerce responsive website where a Business organization can offer their services to customers.
• The website is built using MVC pattern in CodeIgniter framework and deployed on University of Texas, Arlington cloud.