Kanish Mohan is a seasoned Principal Software Engineer and technology leader with over 12 years of experience in designing, developing, and deploying scalable and high-performance software solutions. Currently based in Bengaluru, India, Kanish specializes in cloud-native architectures, distributed systems, and Artificial Intelligence. He has a strong track record of leading engineering teams, driving innovation, and delivering impactful products in fast-paced environments. Kanish is passionate about leveraging cutting-edge technologies to solve complex business problems and is an advocate for best practices in software development, including Agile methodologies and DevOps culture. He is a proactive learner, constantly exploring new paradigms in areas like MLOps, serverless computing, and big data analytics. Kanish is also committed to mentoring junior engineers and contributing to the tech community.
Kanish Mohan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led the architectural design and execution of migrating legacy on-premise infrastructure to a microservices-based cloud-native platform (AWS), resulting in a 40% reduction in operational costs and a 60% improvement in deployment frequency.
Spearheaded the development of a real-time analytics engine that processes over 1 million events per second, providing critical business insights and enabling data-driven decision-making, which contributed to a 15% increase in customer retention.
Co-authored and was granted a patent for a novel AI-driven recommendation system that improved user engagement by 25% on a flagship e-commerce product.
Regularly speaks at national and international tech conferences on topics related to distributed systems and AI. Actively contributes to open-source projects and mentors aspiring software engineers through various community programs.
Michigan State University - Year 2024
Xavier Institute of Social Service - Year 2001
St. Michaels High School
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