Computer Science Machine Learning

BHAVANI MALISETTY

Omaha, NE Email: **********@*******.*** Phone: +1-402-***-****

LinkedIn: Bhavani Malisetty GitHub: Bhavani Google Scholar: Bhavani Malisetty EDUCATION

Master’s in Computer Science Aug 2023 - Present

University of Nebraska, Omaha

Relevant Security, Database Courses: Management Advanced Concepts Systems, in Data Programming Warehousing Languages, and Data Advanced Mining, and Operating Software Systems, Engineering. Advanced Artificial Intelligence, Cyber Bachelor’s in Computer Science and Engineering Aug 2018 - May 2022 CMR Institute of Technology, Hyderabad, India

Relevant Java, SKILLS and Python Courses: Programming. Data Structures, Design and Analysis of Algorithms, Machine Learning and Data Sciences, Software Design and Engineering, PROFESSIONAL Programming Framework Databases Networking Others & Libraries Languages EXPERIENCE Data : : : : : Python, Django, RESTful MySQL, Machine Structures Streamlit, Oracle Java, API, Learning WebSockets, Java and Script, Algorithms, Bootstrap Algorithms, C, HTTPS, and HTML, PL/Deep SSH SQL CSS, Learning, Git, LINUX Large Language Models(LLMs), AWS, Graduate Research Assistant Aug 2023 – Present

University of Nebraska, Omaha

• • • • Evaluated efficiency, Developed incomplete Developed OPP-reducing Built and category 115 a web-inference via and quantized a privacy and based multi-Supervised breakdowns text implemented classification label generation time policies, LLaMA and classification Fine-(e.leveraging computational g.2 Tuning, fidelity, structured First models tool Party with (framework SFT) while semantic for HTML, Collection, prompt overhead. and IoT benchmarking quantization, privacy similarity CSS, using engineering Policy and baseline, policy WebSockets, metrics performance Change, resulting modeling, techniques, fine-for Data evaluation. tuned, in enabling on Security) analyzing a 12% token improving and accuracy real-quantized generation enhancing trade-time next-offs improvement sentence-LLaMA rates user token between comprehension and prediction 2 level models, classification model over classification, the compression, optimizing accuracy baseline and latency. interpretability. paraphrasing, model accuracy by inference 15% while on in Software Engineer Jul 2022 – Jul 2023

Capgemini Engineering, Bangalore

• • • Specialized Form Developed processing 18% Restructured through Personalization complex efficiency in Django structured Oracle SQL and EBS, APIs techniques & enhancements query optimizing in PL/collaboration SQL performance. to database reduce module to tables, with manual objects, Implemented configurations, a views, development data including entry and TOAD-queries. workflow errors Stored team, based by leading Procedures, automation, 6%optimizations, . to a 12% Functions, and improvement improving system Packages, integrations, database in and application Triggers, query while execution implementing performance. enhancing time data by Software Engineer Intern Jan 2022 – Jun 2022

Capgemini, ACADEMIC • • • Acquired Implemented Resolved modifications invoicing, Bangalore PROJECTS in-P2P and depth to payments. system Oracle enhance understanding issues, BI functionality. Publisher ensuring of PL/to seamless SQL, generate Oracle operations high-EBS, fidelity, P2P, across and user-O2C, user defined customizing setup, reports supplier workflows and management, personalized and optimizing requisitions, forms system using purchase performance. CUSTOM.orders, pll Advanced Travel Planner Aug 2023 – Nov 2023

• Developed API, calculations. clear and and TimezoneFinder actionable a web-Implemented based insights intelligent to a provide GPT-through based travel real-an interactive LLM time planner to route analyze using map-optimization, Python, and based summarize interface. Django, dynamic complex and weather WebSockets, weather forecasting, data, integrating and enhancing time Google zone-user aware Maps decision-API, estimated Tomorrow.making arrival with io Password Saver App Feb 2023 – Mar 2023

• Designed data store, confidentiality modify, and implemented and remove and integrity. passwords a secure Developed password while optimizing an management intuitive URL user routing, system interface using resulting using Django in HTML, a 10% and CSS, SQL, improvement and incorporating JavaScript, in application Fernet allowing encryption users performance. to efficiently to ensure Breast Cancer Detection Jan 2022 – Jun 2022

• Built malignant deployed effectiveness a breast a and Django-of cancer benign different based classification tumors machine web application based learning model on extracted that models. in Python, enables features. leveraging users Applied to input Naïve feature data Bayes, and engineering receive SVM, and real-techniques Passive-time predictions, Aggressive to improve while algorithms model also comparing accuracy to predict and the PUBLICATIONS

• Evaluating Quantized LLaMA Model for IoT Privacy Policy Language, Future Internet, MDPI.

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