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DTSTART;TZID=America/New_York:20251119T170000
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DESCRIPTION:Live Talk by Komal Kadam\, Master of Engineering\, Stevens Inst
 itute of Technology &quot;Careers in Technology&quot;\n\n[]\n\nKomal Kadam is a rece
 nt Master of Engineering graduate from Stevens. Ms Kadam completed a very 
 interesting final project directed at making the process of job search eas
 y\; she will speak about this project.\n\nBuilding Scalable\, Human-Center
 ed AI Systems: Lessons from The Job World\n\nAbstract\n\nThe Job World is 
 an AI-powered platform that streamlines job applications. It structures re
 sume data\, analyzes job descriptions\, ranks opportunities\, and tracks a
 pplications. A job crawler aggregates openings from the top 100 companies\
 , enabling candidates to apply efficiently. Key features include a resume 
 builder\, personalized job recommendations\, resume tailoring\, cover lett
 er and cold email generation\, a browser extension for automated applicati
 ons\, and AI-driven interview preparation.\n\nThe speaker will share insig
 hts gained while developing The Job World\, an AI-driven system that strea
 mlines the job application process by transforming unstructured\, user-gen
 erated data into structured\, actionable intelligence. While the platform 
 automates tasks such as resume interpretation\, semantic matching\, and pe
 rsonalized document generation\, the underlying techniques draw heavily on
  natural language processing and are broadly applicable to domains involvi
 ng noisy inputs and contextual relevance evaluation. This talk explores ho
 w transformer-based NLP models can assess candidate job fit\, how personal
 ized outputs can be generated responsibly\, and how browser level automati
 on can reduce repetitive effort. Attendees will learn how to build scalabl
 e AI pipelines using Python and Flask\, evaluate retrieval and ranking per
 formance in real world systems\, and apply iterative development informed 
 by user feedback. The session emphasizes practical strategies for designin
 g AI systems that deliver measurable impact through thoughtful engineering
  and human-centered design.\n\nBio:\n\nKomal Kadam is a recent Master’s 
 graduate in Engineering Management from Stevens Institute of Technology\, 
 with a Bachelor’s in Mechanical Engineering. She is the co-founder and C
 EO of The Job World\, which won 2nd place in a hackathon and was showcased
  at the Stevens AI Innovation Showcase. She also participated in TiE U\, r
 eaching the regional finals. She has two years of experience as a Data Ana
 lyst and is passionate about applying data-driven solutions to real-world 
 problems.\n\nMs Kadam has subsequently formed a start-up\, and it reached 
 finals in TiE competition.\n\n[]\n\nAgenda: \nGreetings\n\nSnacks and Netw
 orking\n\nPresentation\n\nVisit the AT&amp;T National Service Hallway\n\nRoom:
  A2-5A02 Barnegat Room\, AT&amp;T Labs\, 200 South Laurel Ave\, Middletown\, N
 ew Jersey\, United States\, 07748
LOCATION:Room: A2-5A02 Barnegat Room\, AT&amp;T Labs\, 200 South Laurel Ave\, M
 iddletown\, New Jersey\, United States\, 07748
ORGANIZER:kit.august@gmail.com
SEQUENCE:31
SUMMARY:Live Talk by Komal Kadam\, ME Stevens Institute of Technology &quot;Care
 ers in Technology&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/513264
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Live Talk by Komal Kadam\, Master of Engin
 eering\, Stevens Institute of Technology &quot;Careers in Technology&quot;&lt;/p&gt;\n&lt;p&gt;&lt;
 img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/3de32e0a-e
 512-47bf-b3fc-729abb1a1f20&quot; alt=&quot;&quot; width=&quot;350&quot; height=&quot;350&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span
  style=&quot;font-family: Calibri\; font-size: large\;&quot;&gt;&lt;span style=&quot;font-size:
  14pt\;&quot;&gt;Komal Kadam is a recent Master of Engineering graduate from Steve
 ns. Ms Kadam completed a very interesting final project directed at making
  the process of job search easy\; she will speak about this project.&amp;nbsp\
 ;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot; style=&quot;text-align: center\;&quot; al
 ign=&quot;center&quot;&gt;&lt;span style=&quot;font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb
 (31\, 73\, 125)\; font-size: 14pt\;&quot;&gt;Building Scalable\, Human-Centered AI
  Systems: Lessons from The Job World&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;sp
 an lang=&quot;EN-IN&quot; style=&quot;font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb(31
 \, 73\, 125)\; font-size: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;span lang=&quot;EN-IN&quot; style=&quot;
 font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb(31\, 73\, 125)\; font-siz
 e: 14pt\;&quot;&gt;Abstract&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;span lang=&quot;EN-IN&quot; s
 tyle=&quot;font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb(31\, 73\, 125)\; fo
 nt-size: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;em&gt;&lt;span s
 tyle=&quot;font-family: &#39;Calibri&#39;\,sans-serif\; color: #1f497d\;&quot;&gt;The Job World
 &lt;/span&gt;&lt;/em&gt;&lt;span style=&quot;font-family: &#39;Calibri&#39;\,sans-serif\; color: #1f49
 7d\;&quot;&gt; is an AI-powered platform that streamlines job applications. It str
 uctures resume data\, analyzes job descriptions\, ranks opportunities\, an
 d tracks applications. A job crawler aggregates openings from the top 100 
 companies\, enabling candidates to apply efficiently. Key features include
  a resume builder\, personalized job recommendations\, resume tailoring\, 
 cover letter and cold email generation\, a browser extension for automated
  applications\, and AI-driven interview preparation.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p
  class=&quot;xmsonormal&quot;&gt;&lt;span lang=&quot;EN-IN&quot; style=&quot;font-family: &#39;Calibri&#39;\, san
 s-serif\; color: rgb(31\, 73\, 125)\; font-size: 14pt\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;sp
 an lang=&quot;EN-IN&quot; style=&quot;font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb(31
 \, 73\, 125)\; font-size: 14pt\;&quot;&gt;The speaker will share insights gained w
 hile developing The Job World\, an AI-driven system that streamlines the j
 ob application process by transforming unstructured\, user-generated data 
 into structured\, actionable intelligence. While the platform automates ta
 sks such as resume interpretation\, semantic matching\, and personalized d
 ocument generation\, the underlying techniques draw heavily on natural lan
 guage processing and are broadly applicable to domains involving noisy inp
 uts and contextual relevance evaluation. This talk explores how transforme
 r-based NLP models can assess candidate job fit\, how personalized outputs
  can be generated responsibly\, and how browser level automation can reduc
 e repetitive effort. Attendees will learn how to build scalable AI pipelin
 es using Python and Flask\, evaluate retrieval and ranking performance in 
 real world systems\, and apply iterative development informed by user feed
 back. The session emphasizes practical strategies for designing AI systems
  that deliver measurable impact through thoughtful engineering and human-c
 entered design.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;span lang=&quot;EN-IN&quot; style
 =&quot;font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb(31\, 73\, 125)\; font-s
 ize: 14pt\;&quot;&gt;Bio:&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;span lang=&quot;EN-IN&quot; sty
 le=&quot;font-family: &#39;Calibri&#39;\, sans-serif\; color: rgb(31\, 73\, 125)\; font
 -size: 14pt\;&quot;&gt;&lt;span style=&quot;line-height: 115%\; font-family: &#39;Calibri&#39;\, s
 ans-serif\; color: rgb(31\, 73\, 125)\;&quot;&gt;Komal Kadam is a recent Master&amp;rs
 quo\;s graduate in Engineering Management from Stevens Institute of Techno
 logy\, with a Bachelor&amp;rsquo\;s in Mechanical Engineering. She is the co-f
 ounder and CEO of &lt;em&gt;The Job World&lt;/em&gt;\, which won 2nd place in a hackat
 hon and was showcased at the Stevens AI Innovation Showcase. She also part
 icipated in TiE U\, reaching the regional finals. She has two years of exp
 erience as a Data Analyst and is passionate about applying data-driven sol
 utions to real-world problems.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-fam
 ily: Calibri\; font-size: large\;&quot;&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Ms Kada
 m has subsequently formed a start-up\, and it reached finals in TiE compet
 ition.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: Calibri\; font-size
 : large\;&quot;&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;img src=&quot;https://events.vtools
 .ieee.org/vtools_ui/media/display/89953cf8-8bcf-4847-b8c7-8ceb1603b819&quot; al
 t=&quot;&quot; width=&quot;500&quot; height=&quot;125&quot;&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;
 &lt;p&gt;Greetings&lt;/p&gt;\n&lt;p&gt;Snacks and Networking&lt;/p&gt;\n&lt;p&gt;Presentation&lt;/p&gt;\n&lt;p&gt;Vi
 sit the AT&amp;amp\;T National Service Hallway&lt;/p&gt;
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