“I worked with Rajen for two years at Yahoo! where he was the engineering counterpart to my product team responsible for news, entertainment and lifestyle. Rajen is one of the most thoughtful and considerate people I have worked with. He has the rare skill of bringing calm and clear analysis to complex projects between multiple stakeholders. He leads from the front and can switch seamlessly from a detailed technical understanding to a macro strategic view, adapting his language and depth to whatever works best for that particular stakeholder. Most of all, he is a joy to work with and infuses every meeting with positivity and optimism. ”
About
• Results-oriented technical Software Development leader with extensive experience in…
Activity
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At Google Cloud Next 2026, we are very excited to introduce the Gemini Enterprise Agent Platform. It provides everything you need to build, run…
At Google Cloud Next 2026, we are very excited to introduce the Gemini Enterprise Agent Platform. It provides everything you need to build, run…
Liked by Rajen Bose
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It is not everyday that you get to hang out with so many Google legends at the same table. The #TPU 8t/i launch party at #GoogleCloudNext made it…
It is not everyday that you get to hang out with so many Google legends at the same table. The #TPU 8t/i launch party at #GoogleCloudNext made it…
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Hi LinkedIn — this is a little overdue, but I'm officially re-introducing myself. I'm Anne Espiritu. Many of you know me from my years in corporate…
Hi LinkedIn — this is a little overdue, but I'm officially re-introducing myself. I'm Anne Espiritu. Many of you know me from my years in corporate…
Liked by Rajen Bose
Experience & Education
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Google
View Rajen’s full experience
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Licenses & Certifications
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Engineering Leadership Professional Program
University of California, Berkeley
Credential ID 50yvn5cHR0iFGod0gmAxhg
Projects
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Yahoo! Fantasy Finance
- Present
Fantasy trading game that encourages players to use their business savvy to trade and invest for the chance to win $50,000.
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*AI4Good Hackathon* The Neely Center is thrilled to share that Shift SC, a student-led organization advancing responsible technology at USC that we…
*AI4Good Hackathon* The Neely Center is thrilled to share that Shift SC, a student-led organization advancing responsible technology at USC that we…
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Chakravarthy Madiraju
Chakravarthy Madiraju
Product Technology Leader, SW Architect, Problem solver, Entrepreneur, Volunteer.<br><br>Expertise: <br><br>- Cockpit & ADAS Software Platform Design, Development & Commercialization <br>- Linux, QNX & Android Platform Roadmap & Architecture<br>- BSP & Kernel – Device Drivers, Bootloaders, Secure Boot<br>- Vehicle HAL, Audio, Video, Display, Graphics, Camera, AI accelerators, 5G, WiFi, BT<br>- SoC Bring up, Performance/Power Optimizations, Platform tuning for AD drive stacks, GAS, CTS, VTS<br>- Wireless modem protocol stacks, ar/vr/mr, digital rights management, streaming, secure payments<br>- Cross-platform game engines (Unity, Unreal), ARCore and Google Virtual Reality SDK <br>- Data science & analytics, Tensorflow, PyTorch, Keras ML Frameworks, acceleration of neural processing<br>- SaaS, cloud platforms, big data analytics and chip-to-cloud services <br>- Distributed systems, service-oriented architectures, micro-services<br>- Cyber security technology, application & policy<br><br>Specialties: <br><br>- Building high performing global software teams <br>- Drive Cost, Quality, HW/SW Engineering Synergies for platform & products<br>- Scoping, Designing, Developing, Deploying and Managing products in diverse technologies & domains<br>- Systems engineering, design and architecture leadership<br>- Cross-functional management of complex software projects<br><br>Domains:<br><br>Software Defined Vehicle (SDV), Cockpit, ADAS, AD, CPU, GPU, NSP, ISP, Mobility, 3gpp nas/rrc procedures, multimedia accelerators, storage, networking, embedded systems, 5g, internet of things, telematics, m2m, AI, head-mounted ar/vr devices, digital wallets, autonomy, cyber security, android, qnx, agl, linux containers, enterprise risk management, bt le/zigbee/rfid/nb-iot/wi-fi, sensor fusion, infotainment, hypervisors, cloud, smart phones, tablets, connected cars
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Joseph Huffnagle
Significant milestone for @Parloa: the company has established an office in San Francisco 🌉 This expansion represents a strategic step forward as Parloa strengthens its West Coast presence. The Bay Area team will enable deeper collaboration with customers and partners who are fundamentally reimagining AI powered CX. This proximity matters. When you're building the future of customer interactions, being embedded in the ecosystem where innovation happens isn't optional, it's essential. The conversations happening in San Francisco right now, the problems being solved, the expectations being set, they're shaping what enterprise AI will look like for the next decade. Parloa is now positioned to be part of those conversations from day one, not as an observer but as a builder. What makes this particularly exciting is the caliber of organizations in the region who are pushing the boundaries of what's possible with conversational AI. The work ahead involves turning ambitious visions into production systems that actually deliver. Looking forward to what this chapter unlocks. #AIInnovation #CustomerExperience
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Jacob Clark
At face value the throughput acceleration AI enables feels like progress, faster pipelines and more commits shipped. When you look more closely however, the data reported in the 2025 DORA Report points to a harsher truth... we are moving faster with less control. The metrics behind instability, change fail rate, rework and recovery time are all trending upwards. More often than not, AI is simply automating in failure. The 2025 DORA Report surfaces four painful realities of embedding AI into your SDLC: - AI boosts throughput at the cost of higher deployment failure and rework. We are codifying instability into our pipelines. - Burnout remains flat. Productivity gains are absorbed by higher business expectations, not returned to developers. Faster delivery means faster deadlines. - Over 80% feel more productive with AI. Yet the research shows developers who slowed down by 19% still believed they were 20% faster. Perception of acceleration from AI usage is often just a placebo effect. - The AI Capabilities Model makes value contingent on seven systemic investments, including platforms, data ecosystems and strategy. For many organisations this means a multi-year transformation before they can get close to extracting real value from AI tooling. AI is not a silver bullet, it magnifies the strengths of already high-performing teams, while compounding the weaknesses of others. It is becoming clear that if your team and organisation are already practicing engineering excellence and have a strong, continuously improving product culture, you will benefit the most from AI adoption. If your organisations maturity is low, you are better off investing in foundational changes to your ways of working and culture first.
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