Multithread effectively and personalize outreach to convert deals faster
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Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Parminder Singh is a results-oriented and highly accomplished Senior Software Architect with over 12 years of experience in designing, developing, and deploying scalable, high-performance software solutions for enterprise clients. He possesses deep expertise in cloud-native architectures (AWS, Azure), microservices, DevOps practices, and full-stack development (Java, Python, React). Parminder is passionate about leveraging cutting-edge technologies to solve complex business problems and has a proven track record of leading cross-functional teams to deliver innovative products. He is a strong advocate for agile methodologies, clean code, and continuous learning, constantly seeking to enhance his skills and mentor junior engineers. His work has spanned across various domains including FinTech, e-commerce, and healthcare technology, enabling organizations to achieve digital transformation and operational excellence.
Parminder Singh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully designed and oversaw the implementation of a scalable, secure, and resilient FinTech platform on AWS, handling over 1 million transactions per day. This initiative led to a 40% reduction in operational costs and improved system uptime to 99.99%.
Received the 'Innovator of the Year' award at TechSolutions Inc. for developing a proprietary AI-driven fraud detection system that reduced fraudulent transactions by 60% within the first year of deployment.
Authored a well-received chapter on 'Effective Microservice Communication Strategies' in the O'Reilly published book 'Designing Distributed Systems, Vol. 2', contributing valuable insights to the developer community.
Spearheaded the migration of a legacy monolithic e-commerce application to a microservices architecture, resulting in a 70% improvement in deployment frequency and a 50% increase in platform scalability during peak loads.
University Business School, Panjab University - Year 1991
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
ClayboxAI is an LLM Observability Platform designed to help businesses build, deploy, and monitor Large Language Model (LLM) applications in production. It aims to streamline the entire LLM development lifecycle by providing tools for better insights, debugging, and performance optimization of AI models, ensuring they are reliable, efficient, and aligned with business objectives.
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