Experience

  1. Mar 2025 — Present · 1 yr 9 mosContract

    Delivery Quality Analyst @ AIG

    Contracted through Cognizant as Quality Assurance Analyst – Consultant

    Charlotte, North Carolina, United States · On-site

    Project focus Agentic AI assistance for insurance underwriting

    At AIG, I contribute to an end-to-end effort to deliver agentic AI assistance for underwriters across Financial and Property & Casualty lines of business. The work spans the product lifecycle, from shaping ideas and design through implementation and quality assurance. My role as a Delivery Quality Analyst places a particular focus on the quality of what is delivered, while the wider initiative connects AI capabilities with underwriting workflows. The experience brings together product delivery, applied AI, and quality practices in an insurance setting.

    • Product delivery
    • Quality assurance
    • Agentic AI
    • Underwriting workflows
    • Palantir Foundry
    • Palantir AIP
  2. May 2024 — Mar 2025 · 11 mosInternship

    Data Science Intern @ HealthXchange International

    New York, United States · Remote

    Project focus AI applications for dental health professionals and patients

    At HealthXchange, I brought together technology and data science to explore AI applications for the dental health space. The broader aim was to make day-to-day experiences easier for both professionals and patients. My work sat within an AI effort that included parameter-efficient fine-tuning (PEFT), prompt optimization, and prompt management. This experience helped me think about AI not only as a model or technique, but as part of an application designed around real users and their needs.

    • Applied AI
    • PEFT
    • Prompt optimization
    • Prompt management
    • Healthcare applications
  3. Jan 2022 — Jul 2022 · 7 mosInternship

    Data Analyst Intern @ IBM

    Remote

    Project focus Retail data analysis for decision support

    At IBM, I worked with real-world data connected to a national coffee retail chain. The experience showed me how data can help shape business decisions in a complex, customer-facing operation. Rather than treating analysis as an abstract exercise, I began to see it as a way to make operational information more useful to the people making decisions. This role marked an important step in my shift from a broad interest in technology toward a deeper interest in data and its practical applications.

    • Data analysis
    • Business context
    • Decision support
    • Retail analytics
  4. Sep 2021 — Jan 2022 · 5 mosInternship

    Technology Intern @ Tech Mahindra

    Nagpur, Maharashtra, India

    Project focus Sensor-based control and automated system recovery

    My first professional experience connected programming with physical systems. I worked on sensor-based cutoff mechanisms for hazardous environments, where programmed controls could respond to sensor signals and help manage equipment safely. I also explored automated failure analysis and workflow repair optimization, with the goal of resolving issues without shutting down an entire system. This experience introduced me to the practical impact of software: code could help control mechanisms, support safer operations, and improve how systems recover from faults.

    • Programming
    • Sensor-driven systems
    • Automation
    • Failure analysis
    • Workflow optimization