Hardik Patel
ML EngineerSoftware Engineer at Google
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I lead recsys and LLM projects in Youtube Music. Before Google: - I built low latency trading systems and - I applied machine learning techniques for trading.
Indian Institute of Technology, Kanpur
Master of Technology (M.Tech.), Computer Science and Engineering
January 1, 2007 – January 1, 2012
Indian Institute of Technology, Kanpur
Bachelor of Technology (B.Tech.), Computer Science and Engineering
January 1, 2007 – January 1, 2012
Alembic Vidyalaya, Vadodara
High School
January 1, 2005 – January 1, 2007
VM Shah Gujarati Medium School, Halol
School
January 1, 2002 – January 1, 2005
P.K.S. High School, Derol Station
School
January 1, 1999 – January 1, 2002
Staff Software Engineer
March 1, 2019 – Present
New York, New York, United States · Hybrid
qplum
Software Engineer / Manager (Head of Trading)
September 1, 2015 – February 1, 2019
New York City Metropolitan Area
Circulum Vite LLC
Software Engineer, Quant and Trader
October 1, 2014 – August 1, 2015
New York City Metropolitan Area
Two Roads Technological Solutions Pvt Ltd
Software Developer
October 1, 2013 – September 1, 2014
Bengaluru, Karnataka, India
Microsoft
Software Development Engineer
June 1, 2012 – October 1, 2013
Greater Hyderabad Area
Indian Institute of Technology, Kanpur
Graduate Teaching Assistant
July 1, 2011 – June 1, 2012
India
Strand Life Sciences
Summer Intern
May 1, 2010 – July 1, 2010
Bangalore
Cultural Fit Analysis
The candidate's diverse experience across large tech companies (Google, Microsoft) and startups (qplum, Circulum Vite) demonstrates adaptability to different work environments. Their involvement in building systems from scratch, managing teams, and presenting at conferences indicates a proactive and leadership-oriented mindset. The focus on ML, especially in recommendations and trading, aligns well with innovative and data-driven cultures. The lack of explicit project diversity outside of ML/trading is noted, but the depth within these areas is significant.
Soft Skills & Operational Fit
The candidate's experience at qplum highlights strong management and mentoring skills, emphasizing empathy and creating a safe team environment. This suggests a good operational fit for collaborative and leadership-oriented roles. The ability to build systems from scratch and set up CI/CD indicates a strong sense of ownership and best practices.