Akshaan Kakar
Engineer👨💻
Farcaster
AI 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
Columbia University
Master of Science (MS), Computer Science and Machine Learning
N/A – Present
UCLA
Bachelor of Science (BS), Computer Science and Engineering
N/A – Present
Farcaster
Staff Engineer, Machine Learning & Product
October 1, 2023 – January 1, 2026
New York, United States · Remote
Clubhouse
Staff Engineer, Machine Learning & Product
September 1, 2021 – March 1, 2023
New York City Metropolitan Area
Reddit, Inc.
Senior Engineer, Machine Learning
April 1, 2019 – September 1, 2021
Greater New York City Area
HyperScience
Machine Learning Engineer
February 1, 2017 – April 1, 2019
New York, New York
Goldman Sachs
Quant Strats Intern
June 1, 2016 – August 1, 2016
Greater New York City Area
Columbia University in the City of New York
Research Assistant
January 1, 2016 – May 1, 2016
Greater New York City Area
Columbia University in the City of New York
Teaching Assistant
September 1, 2015 – May 1, 2016
Greater New York City Area
BlackRock
Software Development Intern
June 1, 2014 – August 1, 2014
Greater New York City Area
University of California, Los Angeles
Research Assistant
March 1, 2014 – June 1, 2015
Greater Los Angeles Area
Cultural Fit Analysis
The candidate has worked in diverse environments, from large financial institutions (Goldman Sachs, BlackRock) to fast-paced tech companies (Farcaster, Clubhouse, Reddit). Their experience in both research and product-focused ML roles suggests adaptability. The progression through various companies indicates a drive for growth and new challenges. However, without specific details on contributions or team interactions, a deeper cultural fit analysis is not possible.
Soft Skills & Operational Fit
The candidate's career progression to Staff Engineer roles suggests strong leadership, problem-solving, and collaboration skills. Experience as a Teaching Assistant and Research Assistant also indicates an ability to communicate complex ideas and work independently. However, without specific project descriptions or behavioral assessment data, a detailed analysis of soft skills and operational fit is limited.