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Lokesh Anand is a distinguished Principal Engineer at GoTo Financial, based in Bengaluru, India. With over a decade of experience in the software industry, he has a proven track record of designing and building highly scalable, resilient, and mission-critical distributed systems. His expertise lies in the fintech domain, particularly in payment systems, where he has played a pivotal role in architecting solutions that handle massive transaction volumes at Gojek and GoTo. Prior to his current role, he honed his skills at prominent companies like Oracle and Sapient. Lokesh is also a passionate advocate for knowledge sharing within the tech community, frequently contributing as a speaker at conferences and authoring insightful technical blogs on system design and software architecture.
Lokesh Anand's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the architectural vision and technical strategy for critical payment and financial service platforms. Responsible for designing systems that ensure high availability, scalability, and security for millions of users across Southeast Asia.
Recognized as a prominent voice in the tech community, sharing deep insights on system design, distributed systems, and scalability through his popular Medium blog and as a speaker at various technical conferences and meetups.
Played an instrumental role in architecting and scaling the backend systems for GoPay, one of Southeast Asia's leading e-wallets, enabling it to handle millions of daily transactions reliably and efficiently.
Indian Institute of Technology, Kharagpur - Year 2004
DPS RK Puram
DPS RK Puram
FIITJEE
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Sigmoid is a leading data engineering and AI solutions company that helps enterprises make smarter, data-driven decisions. They specialize in transforming vast data sets into actionable business intelligence for Fortune 500 companies by providing expert services in data engineering, data science, artificial intelligence, and MLOps. Sigmoid focuses on accelerating its clients' digital transformation by building modern data architectures and advanced analytics capabilities.
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