BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260516T213721Z UID:7504D473-B752-4206-81D1-F43341B30366 DTSTART;TZID=America/New_York:20260522T180000 DTEND;TZID=America/New_York:20260522T210000 DESCRIPTION:Interested in learning about the impact of AI across the indust ry? Join us for a panel led by industry leaders.\n\nIEEE YP is collaborati ng with IEEE TMU to host a panel of industry experts to provide their insi ghts regarding AI in the industry.\n\nThis event will be held in the Sears Atrium in the George Vari Engineering and Computing Centre. Dinner will b e provided.\n\n-\n\nSpeakers\n\nGaurav Ranganath\n\nI build AI products fr om zero to one\n\nI’m a two-time founder and two-time early employee who likes small teams\, hard problems\, and real ownership. I’ve worked on model routing and transparency at Martian\, led DeepView\, Stratum AI’s real-time mining intelligence platform\, and now build AI products at Radi cal Ventures.\n\nI co-authored RouterBench\, a benchmark and large-scale d ataset for evaluating multi-LLM routing systems on cost-quality tradeoffs\ , now cited in over 200 papers on routing and model serving.\n\nI run Vika sa\, a non-profit venture advisory for early-stage Canadian founders\, and mentor at hackathons like MakeUofT and UofTHacks\, where I first learned how to ship software fast with real constraints.\n\nWhen I’m not doing a ny of that\, I play a lot of tennis (always down to rally if you ever want to hit) and make music:https://open.spotify.com/artist/6ryCiR4lpKDFXXuy4N gqxa?si=Y8Pds0LuQKqTYhgMm3SpiA\n\nErin Hewitt\n\nMy career path has not fo llowed a straight line. After graduating with a history degree\, I eventua lly returned to school to pursue Human Resources. That decision led to a c areer in HR spanning systems\, operations\, and generalist roles.\n\nOver time I realized that helping people grow in their careers was the work tha t energized me most. Whether through hiring\, coaching\, or improving work place practices\, career development became a central focus of my work.\n\ nToday\, that perspective shapes how I support professionals navigating th e job search and organizations working to strengthen their people practice s\n\nAnaqi Afendi\n\nAnaqi is an Applied AI Engineer at Deloitte\, where h e works at the intersection of machine learning\, software engineering\, a nd real‑world business problems. His work focuses on designing and build ing applied AI systems\, including distributed AI systems\, agentic workfl ows\, and intelligent decision‑support tools\, that move beyond prototyp es and into production. He partners with AI startups and industry leaders to deliver large‑scale\, production‑ready AI systems\, working with cr oss‑functional teams to translate complex problems into scalable\, real ‑world solutions.\n\nCo-sponsored by: IEEE TMU Student Branch\n\nRoom: S ears Atrium\, Bldg: George Vari Engineering and Computing Centre\, 245 Chu rch St\, Toronto\, Ontario\, Canada\, M5B 2R2 LOCATION:Room: Sears Atrium\, Bldg: George Vari Engineering and Computing C entre\, 245 Church St\, Toronto\, Ontario\, Canada\, M5B 2R2 ORGANIZER:ieeeyptoronto@gmail.com SEQUENCE:8 SUMMARY:IEEE YP - AI Speaker Panel URL;VALUE=URI:https://events.vtools.ieee.org/m/559045 X-ALT-DESC:Description: <br /><p>Interested in learning about the impact of AI across the industry? Join us for a panel led by industry leaders.</p>\ n<p>IEEE YP is collaborating with IEEE TMU to host a panel of industry exp erts to provide their insights regarding AI in the industry.</p>\n<p>This event will be held in the Sears Atrium in the George Vari Engineering and Computing Centre. Dinner will be provided.<br><br></p>\n<p>-</p>\n<h3>Spea kers</h3>\n<h4>Gaurav Ranganath</h4>\n<p>I build AI products from zero to one</p>\n<p>I&rsquo\;m a two-time founder and two-time early employee who likes small teams\, hard problems\, and real ownership. I&rsquo\;ve worked on model routing and transparency at Martian\, led DeepView\, Stratum AI& rsquo\;s real-time mining intelligence platform\, and now build AI product s at Radical Ventures.</p>\n<p>I co-authored RouterBench\, a benchmark and large-scale dataset for evaluating multi-LLM routing systems on cost-qual ity tradeoffs\, now cited in over 200 papers on routing and model serving. </p>\n<p>I run Vikasa\, a non-profit venture advisory for early-stage Cana dian founders\, and mentor at hackathons like MakeUofT and UofTHacks\, whe re I first learned how to ship software fast with real constraints.</p>\n< p>When I&rsquo\;m not doing any of that\, I play a lot of tennis (always d own to rally if you ever want to hit) and make music:<a title="https://ope n.spotify.com/artist/6ryCiR4lpKDFXXuy4Ngqxa?si=Y8Pds0LuQKqTYhgMm3SpiA" hre f="https://open.spotify.com/artist/6ryCiR4lpKDFXXuy4Ngqxa?si=Y8Pds0LuQKqTY hgMm3SpiA" target="_blank" rel="nofollow noopener noreferrer" data-msys-cl icktrack="0"> https://open.spotify.com/artist/6ryCiR4lpKDFXXuy4Ngqxa?si=Y8 Pds0LuQKqTYhgMm3SpiA</a>&nbsp\;</p>\n<p>&nbsp\;</p>\n<h4>Erin Hewitt</h4>\ n<p>My career path has not followed a straight line. After graduating with a history degree\, I eventually returned to school to pursue Human Resour ces. That decision led to a career in HR spanning systems\, operations\, a nd generalist roles.</p>\n<p>Over time I realized that helping people grow in their careers was the work that energized me most. Whether through hir ing\, coaching\, or improving workplace practices\, career development bec ame a central focus of my work.</p>\n<p>Today\, that perspective shapes ho w I support professionals navigating the job search and organizations work ing to strengthen their people practices</p>\n<p>&nbsp\;</p>\n<h4>Anaqi Af endi</h4>\n<p>Anaqi is an Applied AI Engineer at Deloitte\, where he works at the intersection of machine learning\, software engineering\, and real ‑world business problems. His work focuses on designing and building app lied AI systems\, including distributed AI systems\, agentic workflows\, a nd intelligent decision‑support tools\, that move beyond prototypes and into production. He partners with AI startups and industry leaders to deli ver large‑scale\, production‑ready AI systems\, working with cross‑f unctional teams to translate complex problems into scalable\, real‑world solutions.</p> END:VEVENT END:VCALENDAR