A proactive software engineer working on trending technologies: AWS, Python, C/C++. Implemented real-time solutions using the Git version control system by conceptualizing and analyzing complex systems. With an adept understanding of software applications and well-rounded soft skills including first-rate communication and presentation skills, I can be the ideal candidate.
-
Experience
Firmware Developer Intern, Molekule Inc Jun 2019 - Dec 2019
• Developed scripts by integrating AWS IoT Python SDK, responsible for calculating Reboot and connectivity metrics for Molekule Air purifiers.
• Designed and created database tables in AWS DynamoDB, populating with relevant device metrics data, and grouped
based on Firmware versions.
• Analyzed metrics, helping development teams to get an idea of how devices are performing in real-time, determine areas
to target, thus increasing device efficiency from 95% to 99.99%.
• Automated the process of metrics collection, calculation, and reports generation to a degree of 90%.
Software Engineer, Arcserve India Software Solutions Pvt Ltd Jun 2017 - Jul 2018
• Played a crucial role in enhancing key features in Arcserve UDP Archiving, an e-mail archiving solution designed to
protect corporate email records, helping companies to archive emails for governance and compliance purposes. Supports
internationalization, allows search in local languages, and multi-byte characters. Uses Sphinx and open-source search engine. C, PHP, and MySQL form the technology stack.
• Resolved issues related to multibyte-character involving CJK and emoticon characters, thus improving mail search using Sphinx by 30%.
• Fixed LDAP Authentication integration of mail servers (Microsoft Exchange, Lotus Domino, O365) with UDP Archiving, resolving license consumption issues.
• Improved the functionality and UI of UDP Archiving Outlook Plugin by a margin of 50%, giving better search results and accurate data on the Dashboard.
-
Projects
Autonomic Configuration of Web Server Using Deep Reinforcement Learning
• Implemented a Deep-Q Networks based model to automate apache web server configuration in an environment with dynamically changing workload. Leveraged 8 important performance affecting apache parameters to optimize server performance, resulting in a 22% increase in the Requests-per-second metric. Designed the Deep Q agent as a neural network having an 8X32 architecture with activation and dropout layers, resulting in a reinforcement learning model with an accuracy of 80%
• GITHUB: https://github.com/jayaprakashreddydumpa/Autonomic-Configuration-of-Web-Servers-Using-Deep-Q-Learning
Sentiment Analysis for Airbnb Reviews
• Built an Artificial Neural Network model taking the POS tagged word vectors of reviews as input. The model predicts sentiments of reviews to an accuracy of 74%
• GITHUB: https://github.com/jayaprakashreddydumpa/Sentiment-Analysis-using-ANN
Predict Soccer Match Results
• Developed a soccer match prediction Logistic regression model, using the Newton-Raphson algorithm to calculate regression coefficients. The model can predict results to an accuracy of 71%
• GITHUB: https://github.com/jayaprakashreddydumpa/Match-Prediction-Using-Logistic-Regression