K Adithi Shenoy

Software engineer with one year of production experience, transitioning into product management because defining problems and shaping solutions is the most engaging part of the work. At Netenrich I owned Parser Extensions end-to-end — gathered stakeholder requirements, wrote technical specs, secured client sign-off, and shipped to production. I've worked across Python, FastAPI, GCP, REST APIs, and CI/CD pipelines, which means I can sit with engineering teams and speak their language. I've independently built and shipped real products: a live LLM-powered AI tool deployed on Streamlit, an ML hearing screening app presented at IEEE 2025, and a product field research assignment where I interviewed a real business owner, mapped full operations, and identified an AI use case with clear economic rationale. I write PRDs, conduct user research, think in metrics, and move fast. I'm actively looking for APM or PM intern roles where I can pair technical depth with product thinking from day one.

Multiple internships across industry: completed summer and short-term internships (Tetherfi, SevenCube Consulting) and a Product Engineering internship at Netenrich, indicating hands-on experience in applied software projects during undergraduate studies.

Strong academic performance in Information Technology: listed as BE (Information Technology) from NMAM Institute of Technology with a reported high CGPA (9.03) and convocation listing for the 2025 graduating cohort. nmamit+1