Stuti Bimali

AI Engineer Intern (AI Intern)

• Designed and built a Voice AI Agent prototype for auto repair appointment booking — handling intent capture, slot-filling, confirmations, and edge case fallbacks end-to-end.
• Engineered conversational state management and prompt structures adaptable for real-world client deployments across multiple industries.
• Contributing to Answer Engine Optimization (AEO) and SEO strategy to improve content discoverability across traditional search and AI-driven platforms.
• Collaborating cross-functionally with lead developers and company leadership to align Voice AI prototypes with broader platform roadmap and client deployment goals.

AI/ML Engineer (AI Scientist)

• Built an automated hospital bill analysis system using ML models and Python/SQL, processing 1000+ insurance claims monthly, and increased efficiency by 25%.
• Drove the initiative from a manual to an automated workflow based on demonstrated performance improvements.
• Provided daily production support and on-call monitoring for the live claim processing system, resolving critical data extraction failures within 5 minutes to maintain 99%+ system uptime and ensure zero claim processing delays.
• Fixed 50+ production bugs through real-time error analysis and continuous script optimization, reducing manual QA intervention from 95% to 30% of claims.
• Trained new team members on production workflows, cutting onboarding time from 3 weeks to 1 week and support tickets by 35%.

Data Scientist

• Completed a virtual internship focused on customer analytics and predictive modeling.
• Scraped and analyzed Skytrax customer reviews to generate insights on passenger sentiment and service quality.
• Developed a machine learning model to predict customer booking behavior, supporting proactive and data-driven decision-making.

Data Analyst

• Completed a virtual internship focused on data quality and business reporting.
• Performed data cleaning, removing duplicates, correcting errors, and standardizing formats to ensure accuracy and consistency.
• Communicated insights through professional email reports and created interactive dashboards using Tableau for effective data visualization and decision-making support.

Programming Analyst Intern

• Engaged in an intensive five-month training program focused on the acquisition of comprehensive full-stack development competencies.
• The program provided practical experience with Java, Python, SQL, React, and REST APIs, substantiated through project-based learning and periodic evaluations.
• During the training, I contributed to the development of end-to-end web applications, implementing MVC architecture, designing databases, and integrating front-end and back-end components, in accordance with industry best practices and maintaining code quality.

Data Scientist and Mobile Web Development Intern

• Performed exploratory data analysis on real-world datasets using Python and Pandas.
• Built supervised ML models (decision trees, regression) achieving 87% accuracy.
• Delivered visual insights using Matplotlib and Seaborn to stakeholders.
• Using Android and Web Development skills visualized the analysis on Mobile and Web

Data Scientist Intern

• Analyzed structured and unstructured data to extract actionable insights.
• Developed and evaluated predictive models using scikit-learn.
• Collaborated on data preprocessing pipelines reducing noise by 30%.