Hi, I'm Ranjith SundarajChandra - Head of Engineering at Tejis.ai
I am passionate about the intersection of machine learning and business strategy. I thrive in high-stakes environments where I can build scalable systems and foster cultures that turn AI potential into reality.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led large-scale engineering and machine learning teams at Google for over seven years.
Currently directing engineering strategy and MLOps transformation at an AI-focused startup.
Can provide expert guidance on aligning technical roadmaps with business revenue objectives.
🚀 Career trajectory
Foundation of Engineering
Began by mastering software development and core information technology principles.
✦ Software Engineering
✦ IT Systems
Strategic Leadership
Merged MBA training with technical mastery to lead AI-first initiatives.
✦ MBA
✦ AI Leadership
💪🏻 Superpowers
AI-Driven Product Architect
Synthesizing ML complexity into high-ROI business applications.
✦ Architected scalable ML platforms handling massive ad traffic at Google.
✦ Author of UC Berkeley whitepapers on enterprise AI success frameworks.
✦ Aligns technical R&D directly with corporate revenue milestones.
Engineering Organization Builder
Cultivating elite technical teams and engineering maturity.
✦ Directed large-scale engineering organizations through rapid growth cycles.
✦ Standardizes MLOps and SDLC practices for peak operational velocity.
✦ Embeds data-driven decision-making cultures within technical squads.
Strategic Cross-Functional Leader
Navigating the intersection of business, product, and code.
✦ Unifies stakeholders across product, marketing, and engineering divisions.
✦ Leverages MBA insights to shape long-term product vision.
✦ Expert in translating abstract market research into execution roadmaps.
I'm excited about
✦ Exploring strategic partnerships with AI-first startups in the Bay Area.
✦ Connecting with peer leaders to exchange insights on scaling ML infrastructure.
✦ Seeking opportunities to influence product strategy through deep tech collaboration.
I can help with
✦ Providing mentorship on scaling ML platforms and engineering organizations.
✦ Advising on the integration of AI research into viable product roadmaps.
✦ Sharing expertise on aligning technical execution with enterprise business goals.
I would love your help on
✦ Gaining perspectives on emerging trends in the AI-agent ecosystem.
✦ Navigating strategic challenges related to cross-functional leadership in startups.
✦ Learning best practices for investor-founder dynamics in the generative AI space.