SANTOSH KUMAR REDDY NARALA PRABHAKARA

Los Angeles, CA 90007 213-***-**** adwgli@r.postjobfree.com linkedin.com/in/santoshreddynp/ EDUCATION

University Of Southern California, Los Angeles, CA 4.0 Master of Science in Computer Science Aug 2022-May 2024 Sri Jayachamarajendra College of Engineering (SJCE), India 9.73/10 (Rank: 1/160, Gold Medalist) Bachelor of Engineering in Computer Science & Engineering Sep 2012-May 2016 SKILLS

● Programming: C/C++, Java, Python, Scala, SQL

● Web Development: HTML5, CSS, JavaScript, React, Node.js, Flask, Bootstrap

● Backend Development: Spring, Hibernate, JPA, Restful APIs, Servlets, JSP, PHP

● DevOps and Tools: GCP, Git, Jenkins, MongoDB, AJAX, JSON, jQuery, JUnit, Docker, Jira, Android Studio WORK EXPERIENCE

APPLIED MATERIALS INDIA PVT LTD (AMAT) Bangalore, India Senior Software Engineer Jul 2016-Jul 2022

● Optimized MongoDB queries and reduced database load by 40% using compound indexes.

● Revamped the existing image rendering backend service architecture, resulting in 30% overall API performance improvement.

● Involved in the pilot of breaking the monolith code base into components. Migrated image processing algorithms from MATLAB to Python.

● Provided REST endpoints for transferring images and image related data to frontend, tested using Postman and ensured 100% automation coverage for the backend using Junit and Mockito.

● Implemented web socket communication with vendor’s laser device and improved performance of network by eliminating idle device calls.

● Conceptualized a simulation project and led a team of 5 in developing next generation simulation capabilities to train manufacturing and testing teams before they work on actual tools, thereby decreasing tool time usage by 78% and also minimizing potential risk of damages to tool hardware by an untrained user. (Java, MongoDB)

● Developed a Atlassian confluence plugin to facilitate scrum masters in conducting the sprint retrospective meeting effectively by tailoring it to the organization needs. This plugin was the winner at the Applied Materials RAP hackathon 2017.

● Spearheaded the team in increasing code quality by including test cases (Junit, Mockito), reducing vulnerabilities, and increased code coverage (>90% Sonar coverage).

ROBERT BOSCH ENGINEERING & BUSINESS SOLUTIONS LIMITED (RBEI) Bangalore, India Intern Jan 2016-Apr 2016

● Built an android application for accessing a host machine remotely over a Wi-Fi network. MERCEDES BENZ R&D PVT LTD Bangalore, India

Intern Jun 2015-Jul 2015

● Developed bash script plugins to monitoring system resources such as processor load, disk usage, etc. using Nagios development framework.

PROJECTS

● Image Gray Level Prediction for Calibrations Flows: Programmed a machine learning solution using linear regression model to predict gray level score of images during Enlight tool calibration flows, thus enabling simulators to replicate exact tool behavior and minimized tool shifts requests to perform testing and regression by 60%. The project was awarded the best idea title at the Applied Materials PDC Productivity Hackathon 2019.

● Event Finder (link): A reactive web application that allows users to search for events by event title, location and/or event category. Built using React framework for the frontend and Node.js for the backend, and integrated with Ticketmaster, Spotify, Google Maps, and Geocoding APIs, the UI includes an autocomplete feature based on Ticketmaster suggestions, an embedded Google Maps modal to display venue information and integrates Spotify API to display artist details for music events. Overall, the webpage provides seamless event search mechanism to the users.

● Brain Tumor Detection: Developed a MATLAB application to segment an input brain MRI Image of the patient and identify brain tumor, if any, in the input image using level set functions and geodesic active contour algorithms to effectively identify, segment and highlight brain tumors in the image.