Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Tommy Rowley is a highly skilled and innovative Senior Software Engineer with over 12 years of experience in designing, developing, and deploying scalable full-stack applications. He has a strong background in cloud computing (AWS, Azure), microservices architecture, and DevOps practices. Tommy is passionate about leveraging cutting-edge technologies to solve complex business problems and enhance user experiences. He is a proactive team player, an excellent communicator, and has a proven track record of leading development teams to deliver high-quality software products on time. His expertise spans across various domains including FinTech, e-commerce, and SaaS solutions. Tommy is also an advocate for agile methodologies and continuous learning, always eager to explore new tools and frameworks to improve development efficiency and product quality.
Tommy Rowley's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led a team of 8 developers in 'Project Phoenix,' a complete overhaul of a legacy monolithic application to a microservices architecture on AWS, resulting in a 40% improvement in system performance and a 60% reduction in deployment times.
Received the 'Innovator of the Year' award at TechGen Solutions for designing and implementing a novel real-time analytics engine that provided critical business insights and increased data processing speed by 200%.
Became a core contributor to 'OpenNeural.js,' a popular open-source JavaScript library for machine learning, by implementing a new module for natural language processing that is now used by thousands of developers worldwide.
Co-authored and was granted a U.S. patent (No. [Fictional Patent #12345678]) for a novel system and method for scalable and fault-tolerant data ingestion in distributed cloud environments.
Brigham Young University - Year 2015
Brigham Young University - Year 2011
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.
KLAS Research is a healthcare IT data and insights company that provides transparent and impartial Payer and Provider-reported performance data on software, services, medical equipment, and Payer/Provider solutions. Healthcare professionals use KLAS reports, data, and services to make informed decisions about technology and services, compare vendor performance, and drive improvements in healthcare delivery. End-users, such as hospital CIOs or clinicians, rely on KLAS to understand how well different IT solutions perform in real-world settings based on feedback from their peers.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.