Vaishnavi Raghavajosyula

2019 ~ present     5-year Integrated MTech in Computer Science, University of Hyderabad

• Master’s Thesis - Detection, localization and segmentation of Deepfakes in videos using Novel Deep Learning Approaches
  • Working on detecting Deepfakes videos through Vision Transformers, and further localize and segment the forged locations through light weight methods for image and computer forgery analysis
• 9th Semester student with current CGPA 9.35
• Topped 2 semesters, with 10.0 GPA and 9.68 GPA
• Important Course Work:

Computational Statistics	Theory of Computation	Blockchain Technologies	Internet of Things
Data Structures	Computer Networks / Networking	Neural Networks	Computer Graphics
Database Management	Ethical Hacking and Computer Forensics	Essentials of Artificial Intelligence	Systems Security
Algorithms	Software Engineering	Cloud Computing	Virtualization
Programming Methodologies	Advanced Computer Architecture	Human Resource Management	Computer Organization And Architecture
Operating Systems	Network Programming	Machine Learning	Environmental Science

2019     All India Senior School Certificate Examination, CBSE, Silver Oaks School

• Passed with distinction with overall 88.6% marks
• Exemplary marks obtained in Business Entrepreneurship (91%) and English (97%)

2017     All India Secondary School Examination, CBSE, Silver Oaks School

• Passed with distinction with a 10/10 CGPA
• Participated in several extra-curricular activities.

September 2022 ~ present     Applied Science Research Intern, FGDC, U.S. Geological Survey

• Team Lead – FLORA Classification Team
  • Leading a 11-member team of interns towards the implementation of AI/ML, Deep Learning, drone technology, other emerging technologies to support applied science in the identification of flora species. This led to developing an application that provides to citizen scientists an understanding of how susceptible their environment is to a wildfire.
  • Investigated the use of open-source applications for the design of application. This led to an opportunity, where I am spearheading a collaboration between an emerging technology and a well-established company.
  • Identified problems like limited open access algorithms and created solutions by utilizing pre-existing apps for classification
  • Developing, testing the application with an estimated 2 thousand beta testers in August 2023 for the final launch of the application. Project is planned to be extended to be used by prototypical immersive visualization.
  • This is a working module in the expansion of the Actionable Fire Science Information Hub (AFSI Hub), a joint project spearheaded by NASA and the USGS.
• Proposal Strategist
  • Collaborated with my team to develop a compelling presentation using StoryMaps and PowerPoint for a proposal submitted to and accepted by the Open Geospatial Consortium (OGC), effectively conveying our project ideas in a clear and accessible manner.
• Geospatial Data Analyst
  • Developed education and outreach materials to advance the use of Geospatial data for decision-making using Moodle, Github, TerriaJS analytics platform, and ArcGIS among other resources to research, analyze, synthesize, report, and communicate key information requested by stakeholders
  • Utilized National, Federal, Subnational, and international systems to effectively communicate and collaborate with intern-continental partners, supporting the development of data collection tools and applications.
  • Leveraged JSON and APIs to enhance ClimaTerria, a publicly accessible database housing 300+ datasets for advanced 3D/4D visualization, geoprocessing, and other functionalities
  • Conducted thorough reviews and investigations of diverse topical and thematic information products, leveraging findings to perform analysis, develop comprehensive reports, and create engaging presentations that effectively informed partners and stakeholders.
• Program Management
  • Successfully managed a diverse ecosystem of 10+ complex communication and collaboration technologies, including Microsoft Teams, SharePoint, Outlook, MoodleCloud, and ArcGIS Online, to effectively support partner requirements.
  • Executed user provisioning, role management, and access control tasks for a cohort of 65+ co-interns, demonstrating strong administrative skills and ensuring smooth system operations.
  • I provided provisioning, internal control, monthly reporting, auditing and billing management for 35 license types, 1810 asset types, and 250k processing and hosting credits valued at ~$400k per annum.
  • Developed impactful presentations to effectively communicate organizational information, goals, objectives, and activities to a diverse audience of internal and external constituents, practitioners, and colleagues.

June 2022 ~ August 2022     Deep Learning/Robotics Engineering Internship, University of Hyderabad

• Developed a Robotic Arm for tomato plantation-based application under Dr Vineet C. P. Nair
• Worked on integrating various IoT devices like servo motors, accelerometers, to microprocessors like Jetson, Raspberry Pi, and Arduino with Reinforcement learning modules to survey tomato plants’ growth.
• Utilized a multitude of data communication modes to ensure optimum intra-device communication
• Built a camera-aided robotic arm that moves in 3 axels to fully survey the tomato plants

March 2022 ~ Present     Student Placement Coordinator, University of Hyderabad

• Coordinated and facilitated student placements by liaising with academic departments, and students to ensure successful placement experiences.
• Provide guidance and support to students throughout the placement process, monitoring progress, and addressing any issues that may arise
• Collaborated with faculty and staff to design and implement placement policies, guidelines, and evaluation criteria to ensure the quality and effectiveness of the placement program.
• Kept accurate records and documentation of student placements, including tracking hours, performance evaluations, and feedback from employers and students. This information has been used for program improvement and reporting purposes.

June 2020 ~ July 2021     English Editor, preCIS e-magazine, University of Hyderabad, Hyderabad

• Established the e-magazine along with fellow members
• Persuaded students to submit pieces of creative works to the magazine
• Developed and implemented insightful new ideas for making the magazine unique
• Presented and edited English creative pieces sent to the magazine by readers

June 2023     Detection of Cancer through image data using PyTorch

• Used the ResNet34 model for classification
• The data used was a slightly modified version of the PatchCamelyon (PCam) benchmark dataset

May 2023     ML Classification of Voice Data

• Used various Machine Learning techniques to analyse voice disorders for Parkinson's disease detection
• Techniques used included: KNN classification, Logistic Regression, Support Vector Machines (SVM), Random Forest Model
• Pre-processed the data using t-SNE analysis rather than PCA

March 2023     Imaging and Analysis of Hard Disk with DD, TSK, OSForensics

• Created in-detailed procedural steps to create a disk image for a device’s non-volatile memory and perform analysis on that image system using TSK and OSF frameworks.

March 2023     Comparing Hypervisor Performance

• Compared the performance of various Hypervisors (VMware Workstation Pro, Oracle VM VirtualBox, KVM, Citrix XenServer, Docker) with respect to power usage, processor usage and much more.

November 2022     Lottery System Smart Contract

• Developed and deployed a Solidity smart contract for a lottery system in Ethereum blockchain

October 2022     Time Series Analysis of Data in R

• Conducted data pre-processing and cleaning
• Applied PCA to the data
• Forecasted data using various analysis techniques (Naive Bayes, Simple Exponential Smoothening, Holt's Trend Method, ARIMA Method)

November 2021 ~ December 2021     School Management System

• Developed a simple school management system that includes library management, hostel rooms management, online video lecture management using WAMP/XAMPP stack

March 2022 ~ August 2022     Hackathon Finalist, Smart India Hackathon

• Placed 2nd in the Smart India Hackathon
• Built an IRIS-recognition based attendance taking system

2017     Awarded NIAS Prodigy Award (Fellowship - INR 50,000)

• The recipient of the NIAS-MAIYA Prodigy Award

2016     Young Innovators Program (Internship) at CCMB Hyderabad

• Selected for the internship through a competitive test
• Worked 10 days with scientists at the Centre for Cellular and Molecular Biology (CCMB), Hyderabad