Machine Learning Computer Science

Ravi Gowtham Balusu

***********.******@*****.*** Linkedin California, USA +1-650-***-****

EDUCATION

Purdue University, Indianapolis Jan 2023 to Dec 2024 Master’s in Computer Science GPA: 3.7/4

Relevant Coursework: Data Structures & Algorithms, Machine Learning, Computer Vision, Database Security GITAM University, Hyderabad, India June 2016 to June 2020 Bachelor of Technology in Electronics & Communication Engineering (Gold Medalist) GPA: 9.25/10 SKILLS

Languages & Web Frameworks: C/C++, Java, Python, HTML, CSS, XML, JavaScript, Node JS, Apache Kafka Tools and IDE: VS code, IntelliJ, Google Colab, Jupyter, Eclipse, Anaconda, GitHub, JIRA Database: MySQL, SQLite, Firebase, Redshift, DynamoDB, Elasticsearch, MongoDB PROFESSIONAL EXPERIENCE

Intel Corporation: Graduate Technical Intern May 2024 to Dec 2024

● Collaborated with Intel’s pre-silicon validation team, using SIMICS to ensure reliability of discrete graphics cards and identify hardware issues early

● Optimized an existing Python-based TCP application for the dGPU project by implementing critical code enhancements, improving SIMICS log parsing efficiency and reducing analysis time by 40%, thereby accelerating pre-silicon validation timelines

● Automated firmware download testing across 10+ IP components, ensuring efficient integration and reducing firmware validation time by 30%, which improved overall pre-si validation prior to production

● Enabling the NPU tests on (GTA) automation platform Cognizant Technology Solutions: Programmer Analyst Feb 2021 to Dec 2022

● Developed and optimized Amazon Connect IVR call flows, enhancing customer satisfaction for a US bank’s contact center and reducing call handling time by 15%

● Designed and deployed 10+ scalable web applications on AWS Elastic Beanstalk, resulting in 30% faster deployment cycles using automated scaling

● Collaborated with DevOps to establish CI/CD pipelines for Python Lambda functions, increasing deployment efficiency by 25% and automating 100% of regression testing using CYARA

DXC Technology : Associate Software Engineer July 2020 to Feb 2021

● Served as a Workday functional consultant for Pfizer, optimizing data conversion processes and reducing data migration errors by 20% using ETL tools and scripting.

● Developed 50+ custom reports for Workday Reporting & Analytics, improving decision-making capabilities and reducing report generation time by 40%

● Integrated 3 external systems with Workday using XML, XSLT, and Java data transformations, streamlining API integrations and enhancing data flow efficiency

DRDO: ECE Intern April 2018 to June 2018

● Developed a smart shopping trolley system under the mentorship of scientist Kamalakar, using Atmega microcontroller and Embedded C in Keil µVision

● Integrated RFID tags for automated product identification and real-time total bill calculation, enhancing the customer experience with seamless notifications for efficient checkout ACADEMIC PROJECTS

Image Classification using Convolution Neural Networks

● Built a deep learning model with Google Colab & TensorFlow to classify the images

● Object recognition and image labeling was performed using CNN with high accuracy Sentiment Analysis Tool

● Created a Python tool for sentiment analysis of social media data with NLTK and TextBlob

● Visualized sentiment trends with Matplotlib and provided actionable insights Automated Inventory Management System

● Developed a Python-based system for efficient inventory management

● Utilized Python libraries for data processing (NumPy, Pandas) and SQLite for database management

● Implemented barcode scanning for real-time product tracking HONORS

● Published a research paper on our major project in JETIR journal on "Mobile Railway Platform over Railway Track," 2020

● University Topper and All-rounder of the Electronics Department for 4 years

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