Meet the Psympl Team is a series published under Psympl Answers in which a member of the Psympl team is highlighted to get to know them better and understand them on a more personal level. The series follows a Question & Answer format, much like an interview.
This edition of Meet the Psympl Team features Deepak Anandrao, the Chief Technology Officer of Psympl, Inc.
Over the last fifteen years, I've been helping companies from startups to enterprises build and scale software that delivers real business value, always gravitating toward the complex challenges at the intersection of hardware and software. My career began with innovative smart home applications and brain-computer interface systems, which hooked me on solving problems where things get really interesting.
My progression took me through several key roles, from Senior Software Engineer positions at enterprise companies like Harman Connected Services, to Staff Software Engineer at Jobber, a fast-growing Canadian startup. Most of my work has been in the SaaS and Enterprise product space, where I've shaped product strategy and architected scalable solutions using cutting-edge technologies and frameworks.
At each step, I’ve deepened my expertise in modern technologies while honing my leadership and mentoring abilities. My experience spans cloud platforms, DevOps, continuous delivery, and modern web technologies and standards, with a strong emphasis on accessibility and compliance. Formal training in project management and agile methodologies has helped me to bridge the gap between technical excellence and business outcomes. I’m not just focused on technology, I’m focused on ensuring it drives the business forward.
The team at Psympl is incredible, these are people who think deeply about human psychology and how technology can genuinely understand and serve people better. I had worked with Ran Mullins, CEO of Psympl, previously, and when he shared the vision for Psympl, it immediately resonated with me.
What drew me in was that this isn't just another SaaS platform. The technology is built on actual research into human psyche and motivational drivers. We're creating AI that understands why people make decisions, not just what they do. After years of building systems that collect behavioral data, the opportunity to work on technology that decodes the psychological 'why' behind those behaviors felt like the next evolution in truly useful AI.
The company's focus on Psychographic AI and understanding consumer motivations at a deeper level aligned perfectly with my belief that the most impactful technology doesn't just process data - it understands people.
As CTO at Psympl, I operate across the full spectrum of technical leadership. My role spans several key areas:
Technical Strategy & Architecture: I define our technology roadmap, make critical architectural decisions, and ensure our technical choices align with business goals and scale requirements for our Psychographic AI platform.
Foundation Building: I'm building the technical foundation and infrastructure that will enable us to scale rapidly. This includes establishing our development processes, cloud architecture, and technical standards.
Governance, Risk & Compliance: I'm currently developing comprehensive company policies around data security, privacy, and operational standards. We're actively working toward SOC 2 Type II compliance and ISO 27001 certification to ensure our handling of sensitive psychographic data meets the highest industry standards.
Product Development: I work closely with our product and strategy teams to translate complex psychographic research into scalable technical solutions like our Psymplifier, Consumer Console, and Motivation Decoder platforms.
Infrastructure & Operations: I oversee our cloud infrastructure, deployment pipelines, and ensure our systems can handle the complex AI workloads required for psychographic analysis at scale.
Strategic Planning: I collaborate with the executive team on product strategy, technical feasibility assessments, and long-term technology investments that will support our mission of making human psychology actionable through technology.
Intricate problems light me up, especially when they're tangled in human behavior and real-world constraints. There's something deeply satisfying about seeing a system come together - not just the technical architecture, but watching how users actually interact with what we've built.
I'm driven by the belief that the best technology disappears into the background. When someone accomplishes their goal without fighting our interface or waiting for slow responses, that's when I know we've succeeded. Every performance optimization, every UX improvement, every architectural decision that scales gracefully - these aren't just technical achievements, they're steps toward making technology truly useful.
What keeps me energized is building both great products and great engineering teams. Watching developers grow, tackle increasingly complex challenges, and develop their own technical intuition is incredibly rewarding. There's a multiplier effect when you can help someone else become a better engineer.
I'm constantly building something. Right now, I'm deep into custom PC builds - there's something satisfying about optimizing hardware for specific workloads, whether that's AI model training or high-performance computing tasks. I also spend considerable time evaluating AI models, exploring open-source solutions and staying current with the rapidly evolving landscape.
I run free tech bootcamps occasionally - partly because teaching forces me to understand concepts at a deeper level, and partly because I enjoy the challenge of explaining complex topics simply. There's something rewarding about watching someone's face light up when a difficult concept finally clicks.
Reading is a constant - I work through everything from technical deep-dives to philosophy, science fiction, and mythology. I'm currently on my third read-through of The Dresden Files series, which says something about my appreciation for well-crafted world-building and character development.
I'm also obsessed with automation. If I find myself doing something manually more than twice, I start thinking about how to automate it. This extends beyond code into daily life - optimizing workflows, building tools for personal use, and generally trying to eliminate friction wherever possible.
All of these interests feed back into my work in some way. The hardware knowledge helps with infrastructure decisions, the teaching experience improves how I approach technical communication, and the automation mindset drives how we approach development processes.