Own product strategy and execution for an AI-powered HR analytics platform used by 1,000+ enterprise users across 60+ countries. Lead cross-functional delivery across engineering, QA, and marketing to ship data-heavy features that help organizations understand retention, engagement, and workforce sentiment at scale.
Built and scaled SponsorStats as a solo founder — owning product strategy, full-stack development, data pipelines, and growth. Designed the platform to help job seekers verify H-1B sponsorship data, explore salary insights, and make informed career decisions. Grew the product to 1,000+ active users and launched a Chrome extension with 60+ installs, handling everything from backend systems and frontend UX to SEO, analytics, and user feedback loops.
Partnered with the founder to take an early-stage idea from concept to launch, defining the product vision, MVP scope, and roadmap for an agentic AI platform automating KYC and compliance workflows. Owned user discovery, product design, and execution, enabling a production launch within 6 weeks.
Conducted applied research in NLP and human-centered AI, fine-tuning 10+ generative AI models to standardize informal language and improve accessibility use cases. Explored trade-offs between model accuracy and real-world usability, bridging research insights with practical system design.
Built and shipped a full-stack sentiment analysis application, translating unstructured text into actionable insights. Contributed across product documentation, system design, backend APIs, and a responsive analytics dashboard, blending consulting rigor with hands-on engineering.
Specialized in AI, NLP, analytics, and human-centered systems, graduating with a 3.8 / 4.0 GPA.
Graduated with honors and a 3.8 / 4.0 GPA,
Published 5 international research papers as primary author,
with 30+ citationsacross AI, NLP, and HCI.
Professional certification focused on agile product leadership,
backlog ownership, stakeholder alignment,
and delivering value through iterative development.
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Completed IBM’s applied AI and machine learning graduate program,
covering real-world model development,
deployment concepts, and practical AI system design.
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