Akhil Reddy is a software engineer with nine years of hands-on experience building production systems across AI, data engineering, and Android-focused development. He has recent experience deploying AI agents and forward-deployed infrastructure at InstaLILY AI and now contributes engineering work at Hanover Park, with internships at Johnson & Johnson and JPMorgan grounding his experience in enterprise tech and risk ops. His background blends electrical engineering research—computer vision with VAEs and U-Nets—and practical ETL/data automation, giving him a strong cross-disciplinary perspective on ML-infused pipelines. Based in Tempe, Arizona, he pairs formal training from Rutgers and Cornell with a pragmatic hacker mindset reflected in steady GitHub activity and a long-term interest in algorithms. Colleagues describe him as a programmer who moves comfortably between prototyping research ideas and shipping reliable production features.
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