Fluidfit Startup Operations
Built the cross-functional operating model spanning product, engineering, commercial and security for an early-stage AI company.
Building AI products, startup operations, security, engineering excellence and customer-centric platforms.
Technology executive with over 20 years of experience leading engineering, AI product quality, startup operations, security, product delivery and customer success.
Currently partnering directly with the CEO at Fluidfit.ai to build operational foundations across Product, Engineering, Commercial Operations, AI, Marketplace Strategy and Security.
Previously held leadership positions at Adobe, MAZ Systems and Quarks Technosoft.
Years in technology leadership
ARR SaaS platform scaled
Global companies led
Security program ownership
A track record spanning AI strategy, security, operations and delivery — the disciplines that turn ambition into shipped, trustworthy product.
Standing up the operating system for early-stage companies from the ground up.
Turning frontier models into reliable, differentiated product capability.
Production computer-vision and document intelligence pipelines.
Owning security posture, audits and compliance readiness end to end.
Removing manual toil with automation across engineering and operations.
Aligning revenue, pricing and go-to-market with product execution.
Launching on Adobe, Figma and partner ecosystems.
Predictable, high-quality delivery with strong release governance.
Customer-centric platforms and communications that build trust.
Uniting product, engineering, security and commercial teams.
Lead Software Engineer
Engineering excellence at global scale across flagship products.
Director, India
Scaled the SaaS platform beyond $10M ARR and built the India org.
AVP, Delivery & Quality
Owned delivery predictability and quality across the portfolio.
AI Product & Engineering Operations
Partnering with the CEO to build the operating foundations of an AI startup.
From frontier model evaluation to production quality and cost — the hands-on depth to lead AI product organizations with credibility.
Initiatives that shaped product quality, security posture and commercial outcomes across the organizations I've led.
Built the cross-functional operating model spanning product, engineering, commercial and security for an early-stage AI company.
Drove the organization to SOC2 readiness — policies, controls, evidence and audit management as acting security lead.
Launched and governed integrations across major design-tool marketplaces and partner ecosystems.
Designed usage, billing and credit governance to keep AI economics predictable and transparent.
Established evaluation harnesses for vision and OCR models to measure accuracy and regressions at scale.
Rolled out end-to-end Playwright automation to protect quality and accelerate releases.
Implemented release management and governance for predictable, high-quality shipping.
Built trustworthy customer communication systems across the product lifecycle.
Benchmarked frontier models across cost, latency and quality to guide product decisions.
Recommendations from colleagues and leaders across Adobe, MAZ Systems and beyond.
Yogesh is an all star. He has top notch technical expertise, and has grown into an incredible manager. We could always rely on him for results, and a positive mentality while working together.
Yogesh has that rare combination of ambition, operational excellence, and heart. He knows how to get the job done and execute, but vitally he does it by leading through example and inspiration. He manages his teams with respect and pushes them to do their best work. Yogesh is not afraid to debate and deliberate, to challenge ideas and give feedback, but once a decision has been made he is 100% committed and will rally the troops to support the initiative. He is honest, earnest, has a razor sharp intellect, has integrity, and values people above process. We could not have built MAZ without him. Anyone who has the opportunity to work with him is lucky — there are few in the world like him, and even less in tech and engineering.
Yogesh has the uncanny ability of creating process out of anything. Meticulous and organized, Yogesh enables his teams to excel by consistently providing clear direction and never letting things slip through the cracks. I had the pleasure of working with Yogesh on a product team at MAZ Systems. Yogesh managed the technical program in India, and we collaborated to develop our app builder platform. The technical and contextual intricacies of this system were immense, and Yogesh absorbed and distilled the complexity effortlessly. Even more impressive however was Yogesh’s reliability. As a PM in New York, I could post specs on a Tuesday afternoon, and by Wednesday morning, I would always have the feedback needed to move forward. That’s a Yogesh guarantee. It’s rare to find a teammate like Yogesh: trustworthy, kind, thoughtful and organized. If you are considering bringing Yogesh into your organization, do not think twice. He is a tremendous asset to any team.
It’d be a big challenge to find someone as hard working and as dedicated as Yogesh. He consistently brings a positive attitude to his work and embraces challenges head on. Despite being a strong and disciplined leader, he really is a team player and is not afraid to show his team that he can get his hands dirty in the finite details of the day-to-day work. His rare ability to zoom in and out on the projects his teams are responsible for makes him a valuable asset at MAZ where he has been an admired leader for many years now.
I highly recommend Yogesh for his engineering as well as people skills. His ability to understand the crux of a project and ability to prioritise is commendable. I have seen him evaluate complex problems from first principles, and not blindly follow conventional wisdom. Yogesh is able to instantly connect with people and able to mentor them — this makes him a natural leader.
Yogesh was assigned to test part of our product hence he directly and effectively worked for me for more than a year. Yogesh is a wonderful colleague to work with. He is in India and even I, being in US, feel confident about the task which is under testing by him. He has done a wonderful job in bringing quality to FXG specially from Adobe Illustrator. Yogesh is passionate about his work. His dedication, his approach and his hard work is of top quality. He is very responsive and quick in answering your queries and suggests alternative approaches if the current one does not work properly. I remember myself quoting once “Yogesh is equivalent to the entire automation team and is delivering a great quality by not only identifying but isolating issues in FXG and getting them to closure through his follow up skills.” I appreciate his work from the core of my heart and wish him all the best. It has always been a pleasing and satisfactory experience to work with him. Given an option, I would hire him in my team.
When I joined Adobe, Yogesh and I worked on a relatively new workflow and concept that had been introduced into Adobe Illustrator. What I remember best about those interactions is the passion that went into his area of expertise and ownership. I did not need to look elsewhere for more information, the knowledge he had was more than sufficient. After a stint on another project, I am again working on the same product as he. He was quick to make me comfortable with the still-evolving product, and gave me relevant and useful tips and DIYs to get me up and running. I find Yogesh to be helpful, honest, and humble, and I look forward to working with Yogesh as often as possible. I believe he is passionate, a team player, and will not think twice about going above and beyond his call to assist anyone in need of help. Thank you, Yogesh, and I wish you all the very best!
As author of an Adobe Illustrator book, I keep in tight contact with Yogesh. He is an amazing professional and expert. Yogesh always contributes with me and my book by giving explanations and tips of tools and advanced Illustrator resources. A great professional I’d always count on.
A space in preparation for essays on AI, product and engineering leadership.
Notes on building differentiated products on frontier models.
Evaluation, benchmarking and shipping reliable AI.
Building the operating system of an early-stage company.
Delivery, automation and release governance at scale.
Practical SOC2, compliance and trust engineering.
Aligning product, commercial and customer outcomes.
Whether it's AI product strategy, engineering operations or scaling a startup, I'd welcome the conversation.