Manish Chaudhary is a results-oriented and innovative Senior Software Engineer with over 12 years of comprehensive experience in designing, developing, and deploying scalable and high-performance software solutions. He possesses strong expertise in full-stack development, cloud computing (AWS, Azure), microservices architecture, and Agile methodologies. Manish is passionate about leveraging cutting-edge technologies to solve complex business problems and has a proven track record of leading and mentoring engineering teams to deliver high-quality products. He is a proactive learner, constantly exploring new technologies and industry best practices to drive efficiency and innovation.
Manish Chaudhary's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the development of a new flagship cloud-native SaaS platform from conception to launch, resulting in a 30% improvement in operational efficiency for clients and acquiring 50+ enterprise customers within the first year.
Led the architectural overhaul of a legacy monolithic application to a microservices-based architecture, enhancing system scalability by 200% and reducing downtime by 90%.
Received the company's annual Innovation Award for conceptualizing and implementing an AI-driven recommendation engine that increased user engagement by 25%.
Active contributor to several popular open-source projects in the data engineering and machine learning space, with multiple merged pull requests and positive community feedback.
Indian Institute of Management, Indore - Year 2023
Janardan Rai Nagar Rajasthan Vidyapeeth University
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ElasticRun is a B2B e-commerce platform transforming India's supply chain for Kirana stores (small neighborhood retail shops). It leverages a network of logistics partners and technology to provide these stores with direct access to a wide range of FMCG products from various brands, enabling better inventory management, competitive pricing, and wider product selection, especially in underserved rural and semi-urban areas. Their model aims to improve efficiency and reduce costs for both brands and retailers.
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