Jan 2026 – Present | Boston, MA
- Collaborating with faculty to transition curricula to "AI-resilient" frameworks by integrating human-in-the-loop workflows.
- Mentoring undergraduates on ethical LLM application, focusing on iterative prompting, bias detection, and academic integrity.
- Conducting qualitative research on student AI-usage patterns to inform long-term University policy.
Aug 2022 – Sept 2025 | Boston, MA
- Engineered a production-grade RAG pipeline to vectorize and index 5,000+ university documents into a FAISS database for an internal AI assistant.
- Developed scalable backend logic to support 10,000+ interactions, leveraging insights from resolved support tickets to define product requirements.
- Transitioned from core support duties to AI development, bridging the gap between hardware troubleshooting and cloud-native AI.
Jan 2024 – July 2024 | Boston, MA
- Built and evaluated machine learning models (PyTorch, Scikit-learn) for medical prediction systems, improving diagnostic accuracy by 12%.
- Applied bias-detection methods to state-of-the-art breast cancer risk models (Mirai) to enhance clinical accuracy.
- Benchmarked model performance across 40,000+ image datasets using OpenAI’s CLIP model.
June 2024 – Aug 2024 | Pune, India / Remote
- Synthesized feedback from 15+ potential client interviews into actionable product requirements for U.S. localization.
- Refined technical onboarding resources and created concise API documentation, decreasing developer support tickets by 25%.
- Influenced redesigns of client-facing interfaces, improving task completion rates by 25%.
May 2023 – Jan 2024 | Boston, MA
- Led orientation groups of up to 60 students as a university ambassador, demonstrating strong verbal communication and leadership.
- Facilitated social and academic integration for incoming students in a fast-paced environment.