I just graduated with my Master's degree from Arizona State University and found my love with tech. While working on great projects I do workout. I have a keen interest in software development and enjoy working on security too. I understand scalability and right now I am open to joining a wonderful team with whom I can work on great projects.
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Experience
Computer Specialist, ASU Herberger IT Department
• Developed and maintained Herberger websites using Content Management System (CMS) (Drupal), web development language (HTML, CSS, JS), and service ASU tickets using ServiceNow.
• Built low-level software application (Python, C#) and interface for art projects and their exhibition.
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Projects
A secure banking application hosted on cloud utilizing Hyperledger blockchain platform
• Developed a multiuser banking application using Scrum model and CI/CD (SDLC) hosted on AWS EC2.
• Device security strategies that refrain from exploiting any vulnerabilities (Java, JS, PKI, AWS IAM ).
• Troubleshooting for reliability, scalability in the application for response time under 3 seconds, and capture transactions on the blockchain platform (Selenium, AWS ACM, Hyperledger).
Analyzing meal data to extract features, train model and classify glucose, insulin levels
• Extracted different time series features from the CGM data and CGM timestamp cell arrays.
• Provided this data to PCA and derive the feature matrix to train models to recognize data.
• Computed k fold cross-validation on the training data evaluated the recognition system and clustered meal data based on the amount of carbohydrates in each meal (Python).
Software application for spatial queries for the client’s operational and strategic level decision
• Developed a software application to run multiple spatial queries on a large-scale database that contains geographical data as well as real-time location data of taxicab firm customers (Scala, Java).
• Increase profit margin by rectifying the decision time for the client’s operational (day-to-day) and strategic level (long term) decisions (SparkSQL).
Stockpedia: Visualizing Relationship between Stock & World Events
• Analyze the effects of real-world events on the S&P 500 Index, we implemented Stockpedia (Python, HTML, CSS, D3.js), an interactive visualization tool to get insights into the index (MySQL).
• Achieved reduction in the sector-wise analysis time by 5% and added user-friendly visualization.
Inquisitor: Question Answer System
• Assembled a software (Java, C++, JS) on information retrieval to get a pair of questions and answers using learning to rank model that quantitatively rank answer candidates from the relevant question pool.
• System also recommends the questions using the machine learning model (Python, Jenkins).
• Performance enhanced by 40% with high accuracy and rectifying storage bottleneck problems in databases and published research paper in the IEEE conference.
Sentimental analysis using Hadoop and GNU Octave
• Using Cloudera Hadoop collected Twitter data using Apache Flume and Twitter API. (Python, R)
• Passing data through MapReduce and plotted it using GNU Octave in 2D and 3D for sentimental analysis.