Rajesh at the beach

About

The longer version.

I was born in Los Angeles, California and raised in South Texas. After graduating from the University of Texas Rio Grande Valley as a James H. & Minnie M. Edmonds Endowed Scholar, I chose to pursue a Master of Healthcare Innovation (MHI) at Arizona State University (ASU) and explore the technologies reshaping healthcare delivery. While completing the MHI, I returned to South Texas to run operations at a private pediatric clinic.

In March 2023, I was selected as 1 of 11 interns out of 250 applicants for the Mayo Clinic and ASU Health Care Accelerator. Nine startups had been brought into the program for intensive business development. Memory Lane Games was the startup I was assigned to, and it aimed to treat Alzheimer's and dementia for patients in care homes by triggering nostalgic memories with trivia questions. The existing process required staff to manually input paired questions, answers, and pictures for each card. I attempted to integrate an OpenAI API to auto-generate the gamified Q&A content. The quality wasn't adequate with wrong answer pairings, generated pictures lacking substance, and a need for more user-supplied data. But the direction was right, and the team won the Judges' Vote.

At The Pediatric Clinic, I oversaw the revenue cycle (billing accuracy, claims, payer relationships, and reporting) for a high-volume patient base. Clinical workflows, compliance and staff were monitored. Identifying where automation could balance what's brittle, overbuilt, gathering dust, or unusable is what led me to The George Washington University's M.Eng. in AI/ML. Before leaving the clinic, I directed its $2M transaction to an incoming physician: valuation, financing, tax strategy for the founding physician's exit, legal coordination, and a handoff that kept patient care continuous.

What I'm looking for

I'm seeking applied machine learning or data science roles in clinical documentation, decision support, and health tech. Open to teams where domain depth matters as much as modeling, and where it helps to have an engineer who can speak fluently with clinicians and operators, build privacy-aware systems, and care equally about evaluation and architecture.

Beyond engineering

I'm a native English and Telugu speaker, proficient in Spanish, and conversational in Italian. Professional memberships include IEEE EMBS, AAAI, and HIMSS. Spare time goes to open-source Linux tooling, fitness, and playing the electric guitar (15+ years).


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