Tarun Krishna Reddy Kolli Location: Baltimore, Maryland LinkedIn | GitHub | Leetcode Email: tkolli1@umbc.edu | Mobile: +1 667-755-0796 EDUCATION University of Maryland Baltimore County Baltimore, MD Masters in Computer Science – 3.46 / 4.0 Fall 2022 – Expected Graduation (Dec 2023) Advanced Operating Systems, Principles of Computer Security, Introduction to Machine Learning, Design and Analysis of Algorithms, Introduction to Data Science. Gandhi Institute of Technology and Management Visakhapatnam, India Bachelors in Computer Science – 3.52 / 4.0 Aug 2017 – May 2021 Operating Systems, Computer Networks, Computer Architecture, Software Engineering, Data Structures, Design and Analysis of Algorithms, Mobile Computing, Compiler Design, Web Technologies, Cloud Computing. EXPERIENCE Research Assistant Feb 2023 – Present University of Maryland Baltimore County Baltimore, MD • Developed a cutting-edge website for an AI interviewer as a research assistant, showcasing strong technical skills and a deep understanding of artificial intelligence concepts. • Actively contributed to the research team’s discussions and brainstorming sessions, providing insights on the website’s AI capabilities and suggesting improvements for future enhancements. Software Developer Jun 2021 – Jul 2022 Accenture Hyderabad, India • Built CI/CD pipeline scheduling using Jenkins for 13 environments consisting of 4 applications, integrated with Git. • Structured a responsive Single page Application using React Framework, Node, Rest API, and Spring Boot, handling traffic between 60,000 page views per month. • Implemented 10 Microservice using REST APIs for 2 e-commerce websites and optimized the performance by following suitable design patterns. • Integrated Message Queue’s such as Kafka and RabbitMQ in 3 web apps. • Implemented knowledge transfer sessions to teach 3 team members as part of a mentorship program. Machine Learning Intern May 2019 – Aug 2019 CodeMania PVT. LTD. Hyderabad, India • Developed a model of Text summarization using NLP and incorporated methods such as deep understanding, sentence extraction, paragraph extraction, and machine learning using a 3.4 GB dataset. • Conducted thorough research on state-of-the-art machine learning techniques and methodologies to stay up-to-date with industry trends and advancements TECHNICAL SKILLS Languages : Java, Python, C/C++, SQL, JavaScript, TypeScript HTML/CSS, Shell-Script Frameworks : React.js, Angular, Express, Node.js Libraries : Scikit-Learn, Pandas, NumPy, Matplotlib, OpenCV Databases : MongoDB, PostgreSQL Dev Tools : Visual Studio Code, Git, Gitlab, AWS, Azure PROJECTS Peer to Peer Encrypted Distributed File System Python, Pyro4, Pyaes, Pbkdf2, Git Aug 2022 – Dec 2022 • Developed a secure and distributed file system using Python and Pyro4 with CRUD functionalities, end-to-end encryption, and benchmarked performance of 12.2 seconds for 60,000 create requests and 5.6 seconds for 30,000 read requests, collaborating with a team of 3 members. • Users need to authenticate before managing permissions and delegating to other users. Bus Ticket Booking System Java, PHP, React, TypeScript, Maven, GCP, MySQL Jul 2021 – Aug 2021 • led a team of 5 engineers to design a Java application based on Spring Boot and the Rest API which retrieves ticket availability, handles booking requests, and verifies booking status. Dog Breed Classifier Python, Convolutional Neural Networks, scikit-learn, Pandas, NumPy Feb 2021 – May 2021 • Proposed a Machine learning model using CNN, used Stanford dog dataset and consists of 20,580 images of 120 dog breeds. • The model can recognize photos with low quality, with an overall accuracy of 91.2%. CogniCHAT Python, HTML, CSS, JavaScript, Pandas, Numpy Nov 2020 – Dec 2020 • Developed a financial chatbot using Python with third-party API integration for real-time stock prices and financial news. • Implemented NLP techniques to enable personalized conversational interactions with users.