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We engineer the platforms the world runs on.

Toronto, Ontario
Joined April 2009
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Trick or Treat: What are you choosing this Halloween? 馃懟 馃懟 馃懟 Learn how TechBlocks builds your software with AI-native engineering pods and proves what the AI actually delivered: bit.ly/4yVG19h馃崿#spookysats
馃 Made with AI
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馃幀 #LifeAtTechBlocks: Featuring what a typical day in the life of our Program Manager, Srikanth Mylavarapu looks like at TechBlocks. Ready to level up your career? Join the TechBlocks team and let鈥檚 start building together. bit.ly/4zWCzMh
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True business transformation requires more than AI tools. At @MyTotalRetail, @PrashantTweeted explored why rising #AI investment in retail isn鈥檛 translating into measurable software delivery improvements. 馃憠Full report in The Agentic Retail Imperative. bit.ly/3VJltTx
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AI shopping agents skip products with messy data. Your catalog isn't uncompetitive, it's invisible. Leaders are moving to a "golden catalog": semantic attributes, automated supplier ingestion, validation before AI sees errors. More in the full report 馃憞 bit.ly/3VJltTx
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馃洅For #retail leaders, the hard part isn't launching a conversational experience. It's making sure the architecture underneath can give AI accurate, contextual, trustworthy information to work with. More in The Agentic Retail Imperative report 馃憠 bit.ly/47iWLMh
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Key takeaway from @ItronInc Inspire 26. Meter data management is evolving beyond meter-to-cash into a connected data foundation supporting operations, planning, analytics and customer service. Which team in your utility could do more with the meter data you already collect?
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6/6 Which brings us to a clear pattern across all 3 days: Retail transformation is no longer a project with a fixed end state. Want the full breakdown? Download the full report, 馃摜bit.ly/3VJltTx #AgenticAI #Retail
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5/6 Tools alone don鈥檛 create value. AI Orchestration and operating models will. The organizations winning with AI are moving to operating models powered by connected data, governance, and intelligent agents working as one.
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4/6 So how do you build and ship fast enough to keep up? An AI-native software factory: governance, engineering intelligence, and measurement working together to turn AI investment into real business outcomes.
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3/6 But as #AI mediates the interaction between shoppers and brands, one thing matters more than ever: trust. Retailers that own the first-party relationship and the community around it will stay visible when AI intermediates the journey.
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2/6 鈿欙笍If an AI agent can鈥檛 understand your catalog, your products don鈥檛 exist. Structured, machine-readable, AI-ready data isn鈥檛 a nice-to-have anymore. It鈥檚 your new storefront.
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1/6 First: customer discovery is becoming decision support. Shoppers no longer type keywords. They describe what they need, and AI helps them decide. #Retailers who optimize only for search are optimizing for yesterday鈥檚 journey.
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0/6 馃洅3 days at @MyTotalRetail 2026. 6 key learnings. 1 clear pattern. AI is no longer an emerging capability. The future belongs to retailers that can learn, adapt, and operationalize AI faster than the market changes.
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Customer experiences are evolving faster than the data, systems, and delivery models.馃洅 Today we're releasing 饾棫饾椀饾棽 饾棓饾棿饾棽饾椈饾榿饾椂饾棸 饾棩饾棽饾榿饾棶饾椂饾椆 饾棞饾椇饾椊饾棽饾椏饾棶饾榿饾椂饾槂饾棽, on what leading retailers are doing differently. 馃摜Download the full report: bit.ly/3VJltTx
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A week from today, Sean Bredin, from our Energy and Utilities practice will be in Houston for @ItronInc Inspire. Sean will discuss how utilities are turning the data they already have into actionable intelligence they can defend. See the full agenda: tinyurl.com/yfb8ns2m
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鈿欙笍A #GCC can be highly efficient and still leave significant value on the table. See how TechBlocks combines AI-native CoEs, AI-augmented pods, automation, and modern engineering practices without relying on headcount as the primary growth lever. bit.ly/4722OET
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"The system still works" is becoming a dangerous modernization strategy. For banks, the potential cost is substantial: more than $57 B could be lost by 2028 if modernization falls behind.聽 See how #TechBlocks engineers the future of financial services: bit.ly/4zjnzrH
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