Mithali Shashidhar Email & Phone Number

Bengaluru, KA, IN

United States

• Conducting feasibility analysis and pre-seed due diligence to validate POC designs, culminating in the development of working demo of the product.
• Developing a Knowledge Graph using Neo4j and a vector store with Weaviate to semantically organize information, and engineering a RAG-based architecture with container-deployed large language models (LLMs).

Seattle, Washington, United States

• The goal of this project is to utilize cutting-edge generative AI, machine learning, statistical modeling, and simulation techniques to effectively identify ransomware attacks. Employing generative models involves.
• Created synthetic datasets for ransomware analysis using simulation techniques and generative AI models (GPT 3.5, Replicate.ai, Easy Diffusion).
• Developed a time-series analysis model with Explainable AI to detect abnormal user activities, achieving a 95% F1-score and actively in use within the company.
• Recognized with the ”Best in Show” award among 16 exceptional projects.

United States

• Conducted research in collaboration with the US Forest Service and University of Washington to estimate visitation in high-risk wildfire-susceptible landscapes that span 208,000 acres.
• Findings through geospatial analysis and visitation models contributed to informed policy decision-making regarding accelerating fire treatments in high-priority locations.

New York, United States

• Streamlined applicant tracking system requirements through stakeholder feedback consolidation, ensuring alignment of technical solutions with business requirements.
• Leveraged PowerBI to read, manipulate, conduct EDA and model data, creating insightful visualizations for strategic KPI-driven decision-making.

Bangalore Urban, Karnataka, India

• Integrated a Spring Boot Microservice with a CI/CD pipeline and CCM to decrease development time by 67%.
• Designed Splunk dashboards to visualize communication metrics covering 25+ events and a total of 400,000 emails, text messages and notifications sent per day.

Bangalore Urban, Karnataka, India

• Deployed a Spring Boot service to communicate order status to over 3 million customers, reducing customer service calls in Walmart Canada by over 50%.

Bangalore Urban, Karnataka, India

• Leveraged machine learning techniques for object detection and localization in a drone dataset.
• Led a comparitive analysis between the RetinaNet and Faster RCNN to evaluate that although Faster RCNN was 100% faster than RetinaNet, it was 50% less precise in its detection.

Bangalore Urban, Karnataka, India

• Assisted research in designing a CNN model that performs both Vehicle Classification and Vehicle Re-identification in Python with the use of OpenCV and PyTorch

Master Of Science - Ms, Data Science, 3.92/4.0

Bachelor Of Technology - Btech, Computer Science, 9.05/10

Activities and Societies: Centre for Innovation and Entrepreneurship

High School, 97%