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Chief Executive Officer at BinaryWay
I am a business focused technology executive with 16+ years of leadership experience in digital transformation, enterprise architecture, and innovation. My purpose is to position technology not just as an enabler but as a strategic driver of growth, resilience, and competitive advantage by aligning strategy, people, and systems to deliver enduring impact. As Chief Executive Officer at Binary Way, I lead with the conviction that transformation must be holistic. Our Binary way Spectrum, built on five integrated pillars: AI Solutions & Engineering, Data & Analytics, Cloud & Infrastructure, Automation & Workflows, and Application Development & Engineering, provides a unified model for enterprise change. Together, these pillars create more than just upgraded systems; they establish a foundation where intelligence, scalability, efficiency, and user experience converge to deliver real business value. Through this approach, I have guided organizations in modernizing platforms, embedding responsible AI, re-architecting cloud ecosystems, consolidating data into governed analytics, and scaling automation with governance. These initiatives have delivered results, including cost efficiency, faster delivery cycles, improved compliance, and enhanced customer and workforce experiences. My leadership style is rooted in clarity, empowerment, and accountability. I build teams that thrive in both agile environments and global, multidisciplinary settings, fostering collaboration, innovation, and continuous improvement. I also coach emerging leaders to move beyond execution into ownership, creating capabilities that sustain long-term value. 𝗖𝗼𝗿𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 * Strategic Vision & Road mapping * Enterprise Architecture & Transformation * Innovation Leadership (AI, ML, Cloud, Automation) * Operational Excellence
Ohio University
MBA, Finance and MIS
N/A – Present
Dakota State University
MSIS, Data Management/ Data Science
N/A – Present
Seshadripuram College
Bachelor of commerce, Accounting, Economics
N/A – Present
AIG
AI (Artificial intelligence) /RPA/ ML Solution Architect
January 1, 2017 – January 1, 2024
Greater Houston
InterSys Consulting, Inc.
Senior Consultant, Data Solution Architect
March 1, 2013 – September 1, 2017
Austin, Texas Area and Houston, Texas Area
BinaryWay
Chief Executive Officer
May 1, 2009 – Present
Houston, Texas Area
Quicken Loans
Senior Data Warehouse Engineer/DBA
March 1, 2006 – May 1, 2011
Revonet
Database Designer/SQL Server DBA
February 1, 2003 – March 1, 2006
Allegiance Ambulance
January 1, 2016 – Present
Greenfield DW implementation, Power BI and Mobile Dash boards.
Microsoft Certified APS (PDW) Instructor
Microsoft
June 24, 2026 – Present
SSAS Maestro(R1)
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (AIG, InterSys, Quicken Loans, Revonet) and their entrepreneurial background as CEO of BinaryWay suggest adaptability and a broad perspective. Their involvement in greenfield implementations and guiding organizations through cloud modernization and AI adoption indicates an innovative and growth-oriented mindset. The target role of ETL Engineer aligns well with their core data warehousing and data management expertise, though their recent focus on AI/RPA/ML solution architecture might indicate a broader interest beyond pure ETL. The project 'Allegiance Ambulance' shows personal initiative in DW implementation and BI, which is a positive indicator for cultural fit in a data-centric role.
Soft Skills & Operational Fit
The candidate's experience as a CEO and Solution Architect suggests strong leadership, strategic thinking, and problem-solving skills. Their role in training data architects indicates mentorship and communication abilities. The description of building enterprise-scale digital platforms implies project management and operational execution capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.