Experienced ML Engineer with over four years of expertise in machine learning, data analytics and enterprise infrastructure Operations. I bring a strong track record of leveraging data-driven insights and advanced analytics to drive decision-making and enhance performance across complex systems. My journey spans impactful roles across four organizations, including my current role at Suki AI, where our team uses innovative machine learning techniques to improve healthcare solutions—enhancing patient outcomes and streamlining provider workflows. Notably, I developed an ML evaluation pipeline and implemented LLM-based quality assessments for ASR models, optimizing accuracy and reducing manual processes.Previously, as a Business Data Analyst at Tracy Earth Project, I contributed to the development of platforms that evaluate sustainability practices, supporting environmental responsibility in the local community. As a Technical Lead at Cognizant, I led a team managing enterprise operations on the VMware platform, optimizing performance across VMware vSphere clusters to ensure reliability for critical applications.I have a strong foundation in Python, SQL, Azure, and GCP, with hands-on experience in building end-to-end data pipelines, creating Tableau dashboards for actionable insights, and implementing automation to enhance operational efficiency.Passionate about data integrity, innovation, and harnessing technology to solve real-world challenges, I’m always eager to connect with others interested in impactful data solutions. Let’s connect!