Arijit S. is a seasoned technology professional with over a decade of experience in software development, system architecture, and project leadership. He possesses a strong background in developing scalable and efficient software solutions, leveraging modern technology stacks and agile methodologies. Arijit is passionate about problem-solving, innovation, and mentoring junior engineers. He has a proven track record of delivering complex projects on time and within budget, contributing significantly to business objectives. His expertise often lies in areas such as cloud computing (AWS/Azure), microservices, and data-driven applications. Arijit is a proactive learner, constantly seeking to expand his knowledge and skills in emerging technologies to drive digital transformation.
Arijit S.'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 redesign and migration of a legacy monolithic application to a microservices-based architecture, resulting in a 40% improvement in performance and 60% increase in deployment frequency.
Developed and integrated an AI-powered predictive analytics module into an existing platform, which enhanced customer insights and contributed to a 15% uplift in targeted marketing campaign effectiveness. Received company-wide recognition for this innovation.
Authored a well-received article series on best practices for cloud-native application development, featured in a prominent online tech journal, establishing thought leadership in the domain.
Achieved the AWS Certified Solutions Architect - Professional certification, demonstrating advanced skills in designing and deploying complex applications on Amazon Web Services.
Quantic School of Business and Technology - Year 2020
Indian Institute of Management Bangalore - Year 2016
Visvesvaraya Technological University - Year 1998
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Redica Systems is a data and software company that provides regulatory and quality intelligence for FDA-regulated industries, including pharmaceuticals, medical devices, and food manufacturing. Their platform leverages AI and data analytics to process vast amounts of public and proprietary data, such as FDA inspection reports (483s, EIRs), warning letters, recalls, and enforcement actions. This enables quality and regulatory professionals to proactively identify compliance risks, benchmark against industry trends, prepare for inspections, and make data-driven decisions to improve quality and ensure patient safety.
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