Engineering Progress—Prasad Boraskar's Enduring Legacy in Embedded Systems and Firmware Innovation
With over 17 years of experience across some of the world's most influential technology companies, Boraskar has built a reputation as a senior embedded systems and firmware engineer whose work consistently drives industry progress. His academic credentials—a Master's degree in Electrical Engineering from the University of Southern California and a Bachelor's degree in Electronics and Telecommunications from Mumbai University—provide a solid foundation for his technical achievements. Throughout his career, Boraskar has focused on the design and verification of firmware for AR devices, security cameras, and embedded platforms, demonstrating a unique ability to bridge theoretical research with practical application.
At Meta, Boraskar led verification efforts for AR wearables, developing tools such as the Sensor Synchronization Fixture and the Streaming Data Analyzer. These innovations have reduced manual testing, accelerated product timelines, and set new benchmarks for efficiency and accuracy in the verification of sensor-driven systems. By standardizing timing measurements between sensors and devices, Boraskar's tools have improved data accuracy and enabled teams to deliver higher quality products in less time. The widespread adoption of these methodologies by leading technology firms underscores their originality and significance within the field.
Boraskar's impact extends to his work at Apple, where he built an end-to-end firmware update system for Systems on Chip (SoCs), enhancing update reliability and device security for millions of users. His contributions to wireless video transmission and video quality optimization at Netgear have helped improve home security systems that are now widely used in the United States. These achievements reflect a consistent pattern of innovation, where Boraskar's expertise supports robust product development and drives the evolution of the tech industry.
The significance of Boraskar's contributions is amplified by the context in which they occur. As embedded systems become increasingly central to the functionality of modern devices, the need for secure, scalable, and efficient solutions grows ever more critical. Boraskar's work in system architecture, firmware design verification, and automation addresses these needs directly, ensuring that products meet the highest standards of reliability and performance. His ability to lead cross-functional teams, manage complex projects, and deliver solutions that align with strategic business objectives further distinguishes him as a leader in his field.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time of India
an hour ago
- Time of India
Meta to halt political advertising in EU from October, blames EU rules
Meta Platforms will end political, electoral, social issue advertising on its platform in the European Union in early October because of the legal uncertainties due to EU rules targeting political advertising, the U.S. social media company said on Friday. Meta's announcement echoed Alphabet unit Google's decision announced last November, underscoring Big Tech's pushback against EU rules aimed at reining in their power and making sure that they are more accountable and transparent. The European Union legislation, called the Transparency and Targeting of Political Advertising (TTPA) regulation and which will apply from Oct. 10, was triggered by concerns about disinformation and foreign interference in elections across the 27-country bloc. The EU law requires Big Tech companies to clearly label political advertising on their platforms, who paid for it and how much as well as which elections are being targeted or risk fines up to 6% of their annual turnover. "From early October 2025, we will no longer allow political, electoral and social issue ads on our platforms in the EU," Meta said in a blog post. "This is a difficult decision - one we've taken in response to the EU's incoming Transparency and Targeting of Political Advertising (TTPA) regulation, which introduces significant operational challenges and legal uncertainties," it said. Meta said TTPA obligations create what it said is an untenable level of complexity and legal uncertainty for advertisers and platforms operating in the EU. It said the EU rules will ultimately hurt Europeans. "We believe that personalised ads are critical to a wide range of advertisers, including those engaged on campaigns to inform voters about important social issues that shape public discourse," Meta said. "Regulations, like the TTPA, significantly undermine our ability to offer these services, not only impacting effectiveness of advertisers' outreach but also the ability of voters to access comprehensive information," the company added.


India Today
4 hours ago
- India Today
Meta picks ex-OpenAI researcher over Yann LeCun as chief scientist of AI superintelligence unit
Meta has been stealing away talent from its biggest rivals as it gears up to become a serious contender in the AI race. And now, after putting together a team, CEO Mark Zuckerberg has announced that Shengjia Zhao, a former OpenAI researcher and one of the co-authors of the original ChatGPT paper, just been named Chief Scientist of Meta's newly minted Superintelligence AI who quietly joined Meta in June, was instrumental in OpenAI's early successes, from building the first reasoning model, o1, to helping shape ChatGPT itself. That o1 model, incidentally, is the very one that sparked the 'chain-of-thought' craze, later picked up by the likes of Google and CEO Mark Zuckerberg confirmed Zhao's promotion in a post on Threads, calling him 'our lead scientist from day one.' He went on to explain, 'Now that our recruiting is going well, and our team is coming together, we have decided to formalise his leadership role.' Zhao will now work directly under Alexandr Wang, the former Scale AI CEO who joined Meta in June as its Chief AI Officer. Wang has been tasked with nothing less than steering Meta towards artificial general intelligence (AGI), systems capable of reasoning and thinking at human or even superhuman Superintelligence Lab, which Meta unveiled in June 2025, is the centrepiece of this new ambition. It operates separately from FAIR, Meta's long-established AI research unit, which remains under the leadership of AI veteran Yann LeCun. LeCun now reports to Wang, giving the latter clear oversight of Meta's two-pronged AI research AI hiring binge has been making headlines all summer. In just a couple of months, the company has lured away more than a dozen leading researchers from OpenAI, Apple, Google and Anthropic. That includes high-profile names such as Apple AI scientists Tom Gunter and Mark high-stakes AI talent hunt didn't stop with Shengjia Zhao. As The Information first reported in June, Zhao joined alongside three other influential OpenAI researchers: Jiahui Yu, Shuchao Bi, and Hongyu Ren. The tech giant has also brought in Trapit Bansal, who previously collaborated with Zhao on AI reasoning models, and recruited a trio of engineers from OpenAI's Zurich office, each with expertise in make it happen, CEO Mark Zuckerberg has personally taken the reins of recruitment, reportedly reaching out to candidates via email and even hosting potential hires at his private Lake Tahoe retreat. Not your average job interview venue. According to the reports, some offers have been eye-wateringly generous, with compensation packages reaching eight and nine figures. And Meta isn't playing around, many of these are 'exploding offers,' designed to pressure top researchers into signing within just a few present, Meta's most advanced open-source model, LLaMA 4, is still lagging behind rivals like OpenAI's GPT4 and Google's Gemini. But the company is betting big on a new model, codenamed 'Behemoth,' which is expected to debut later this year. Zuckerberg sounded bullish about what's coming next. 'Together we are building an elite, talent-dense team that has the resources and long-term focus to push the frontiers of superintelligence research,' he Zhao now in the driver's seat and a growing team of AI heavyweights, Meta clearly wants to make sure that the next big breakthrough in AI has its logo stamped all over it.- EndsMust Watch


Time of India
5 hours ago
- Time of India
Who is Shengjia Zhao, OpenAI co-creator and now Meta's new Superintelligence chief?
Academy Empower your mind, elevate your skills Talent poaching continues at full speed among Big Tech and artificial intelligence (AI) hyperscalers. Meta has appointed Shengjia Zhao , a prominent research scientist at OpenAI , as the head of its ambitious Superintelligence team, which Mark Zuckerberg is was a prominent research scientist at OpenAI, where he played a major role in the creation of ChatGPT , GPT-4, and several notable 'mini' models, including GPT-4.1 and has co-authored the original ChatGPT paper and is credited with starting trends in AI reasoning, particularly through his work on OpenAI's o1 has a PhD in computer science from Stanford University and holds a bachelor's degree from Tsinghua Meta, he will be the lead scientist of the Superintelligence team and will direct the lab's research agenda, working with Meta CEO Zuckerberg and chief AI officer Alexandr is entrusted with setting the strategy for Meta's foundational models, especially the Llama series, and unifying the company's efforts to compete at the frontier of foundational AI research Zhao made major foundational contributions to ChatGPT during his tenure at OpenAI. He also led key efforts in synthetic data generation used to train large language models (LLMs) like ChatGPT and its addition to his direct work on ChatGPT, Zhao helped create the o1 and o3 reasoning models, with o1 giving rise to the "chain-of-thought" prompting technique, adopted by models across the space tech giant launched the Meta Superintelligence Labs (MSL) in 2025 to supercharge its ambition of creating artificial general intelligence (AGI) and, ultimately, superintelligence. This new division will bring together Meta's foundational AI research (including Llama models), product AI teams, and next-generation model efforts under one umbrella.