VEDANT AHLUWALIA
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MD Dataviv Technologies, Former VP Stanford Angels, Former White House Associate, Former UNDP, Former Coursera, Former Earnin.
Mr. Vedant Ahluwalia is a global Artificial Intelligence Luminary, and revered AI figure contributing across global conglomerates, top universities, and governments across the world including the White House. He holds a coveted Master’s from Stanford University served on various boards, and conducted projects of global relevance including building technologies for companies that have become unicorns since. He has worked with top names in the field and has done commendable work in building talent and activating the AI revolution across many countries including a Center in Maharashtra India inaugurated and supported by the erstwhile top 5 member of the Forbes World’s Billionaire list, served on various government committees and advisory boards, and holds a prominent place in Artificial Intelligence in most institutions of merit. He has conducted specialised trainings on demand for various governments, business leaders including the Young Presidents Organization, United Nations, and organisations across the globe.
Stanford University
MS Computational and Mathematical Engineering, Artificial Intelligence
January 1, 2014 – January 1, 2016
University of Rochester
Bachelor of Science and Bachelor of Arts, Computer Science; Financial Economics
January 1, 2010 – January 1, 2014
Stanford Angels
Vice President
July 1, 2017 – January 1, 2025
Mumbai Metropolitan Region
Dataviv Technologies
Managing Director
February 1, 2017 – Present
India
Activehours
Product
March 1, 2016 – May 1, 2016
Palo Alto, CA
UNDP
Offsite, Social Impact Venture Fund - Armenia
March 1, 2016 – June 1, 2016
Stanford, CA
Coursera
Teaching Team Machine Learning (CS 229 - Over 1 Mn Learners)
February 1, 2016 – May 1, 2016
Stanford, CA
Divvy Up (Grocery delivery optimized for students)
Chief Executive Officer
September 1, 2015 – May 1, 2016
Stanford, CA
Stanford University
Graduate Teaching Assistant Machine Learning By Andrew Ng
September 1, 2015 – December 1, 2015
Stanford University
Research Assistant AI Lab in Andrew Ng Team
September 1, 2015 – December 1, 2015
TUDOR INVESTMENT CORPORATION
Systems Trading
June 1, 2015 – August 1, 2015
Greenwich, Connecticut
The White House
Associate, Office of Presidential Correspondence
May 1, 2014 – July 1, 2014
Washington D.C. Metro Area
DSP BlackRock Mutual Fund
Mutual Fund Sales
May 1, 2013 – July 1, 2013
Mumbai Metropolitan Region
Siemens
Credit Risk Management
May 1, 2012 – July 1, 2012
Mumbai Area, India
HSBC
Premier Wealth Management
May 1, 2011 – August 1, 2011
Mumbai Metropolitan Region
Cultural Fit Analysis
The candidate's background demonstrates a strong drive for learning and innovation, evidenced by their advanced degrees and involvement in AI research and education. Their entrepreneurial ventures and roles in social impact (UNDP) suggest a proactive and mission-driven individual. The breadth of experience across different sectors (tech, finance, government, non-profit) indicates adaptability and a willingness to engage with diverse challenges, which could contribute positively to a dynamic work environment. Their experience in teaching and mentoring (Coursera, Stanford TA) also points to a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate's diverse experience, including leadership roles and teaching positions, suggests strong communication, collaboration, and problem-solving skills. Their entrepreneurial background indicates initiative and adaptability. The role at The White House implies strong organizational and due diligence capabilities. However, without specific project details or behavioral assessment results, a definitive operational fit assessment is limited.