Pravin Chandrasoma
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CTO | Advisor | Investor
As a CTO and senior technology leader, I have aligned technology strategy with corporate objectives across startup, high-growth, and pre-IPO environments. I’ve built and scaled global engineering organizations, modernized legacy infrastructure into secure cloud-native platforms, led M&A technology diligence and integration, and deployed AI and machine learning initiatives that enhance automation, decision intelligence, and operational efficiency. I partner with growth-stage and private equity backed companies to strengthen governance, reduce risk, and reposition technology from an operational expense to a strategic advantage. Accelerating growth, margin expansion, and long-term competitiveness.
USC Marshall School of Business
BSc, Business Admin - Emphasis in MIS
N/A – Present
Glendale Community College
Associate of Science - AS, Accounting
N/A – Present
Eureka Technology Partners
CTO and Partner
September 1, 2024 – Present
Remote
ReapDigital
Strategic Partner
September 1, 2024 – Present
EverService
Chief Technology Officer
March 1, 2021 – May 1, 2024
Los Angeles, CA · Remote
LegalZoom.com
Vice President, Technology - Head of Engineering and Enterprise Applications
April 1, 2007 – October 1, 2020
Glendale, CA · Hybrid
Indymac Bank
Information Technology Manager (Assistant Vice President)
July 1, 2001 – October 1, 2007
Pasadena, California, United States
marchFIRST (NASDAQ-World Leader System Integrator & Internet Consulting)
Sr. Software Engineer
January 1, 1998 – January 1, 2001
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards leadership and strategic roles within technology organizations, ranging from startups to established companies. Their experience in building teams and driving technological transformation suggests adaptability and a growth mindset. However, the target role of 'ML Engineer' is highly specialized and hands-on, which contrasts with their recent executive-level, strategic focus. While they have mentioned AI/ML integration in their CTO role, direct, deep technical ML engineering experience is not explicitly detailed, which might indicate a potential mismatch for a purely individual contributor ML Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and operational rigor through their extensive experience in building and scaling technology teams and infrastructure. Their background suggests a high capacity for managing complex projects, driving innovation, and aligning technology with business goals. The descriptions indicate a proactive approach to problem-solving and a focus on long-term scalability.