Stan Peshterliev
ML EngineerGenAI at Meta
Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GenAI at Meta
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 am an Applied Research Scientist at Meta working on GenAI and Agents. Previously, I was an Applied Scientist at Amazon Alexa AI. My research interests are in GenAI, natural language processing(NLP), virtual assistants, and online/reinforcement learning. I was a part of the team that launched the first Alexa virtual-assistant in November 2014.
Swiss Federal Institute of Technologies of Lausanne, EPFL
Master's degree, Computer Sciance
January 1, 2011 – January 1, 2013
Sofia University "St. Kliment Ohridski"
Bachelor's degree, Software Engineering
January 1, 2007 – January 1, 2011
Meta
Staff Applied Research Scientist
August 1, 2023 – Present
Greater Seattle Area
Meta
Applied Research Scientist
June 1, 2020 – August 1, 2023
Greater Seattle Area
Amazon
Senior Applied Scientist
February 1, 2019 – June 1, 2020
Greater Boston Area
Amazon
Applied Scientist
June 1, 2016 – February 1, 2019
Greater Boston Area
Amazon
Software Engineer
October 1, 2013 – June 1, 2016
Greater Boston Area
Credit Suisse
Software Engineer Intern
February 1, 2013 – August 1, 2013
Lausanne Area, Switzerland · On-site
Software Engineer Intern
July 1, 2012 – September 1, 2012
London, United Kingdom
eCommera
Software Developer
March 1, 2010 – September 1, 2011
Sofia, Bulgaria
Naviteq
Software Developer, Contracting
July 1, 2009 – September 1, 2009
Sofia, Bulgaria
NetInfo
Software Developer
January 1, 2009 – March 1, 2010
Sofia, Bulgaria
The Mags
Software Developer
July 1, 2007 – December 1, 2008
Sofia, Bulgaria
Cultural Fit Analysis
The candidate's extensive experience across multiple roles and projects at Meta and Amazon, coupled with earlier diverse software development roles, indicates adaptability and a broad skill set. Their progression from Software Engineer to Staff Applied Research Scientist demonstrates a strong growth mindset and ability to thrive in challenging environments. The focus on cutting-edge AI/ML aligns well with an innovative culture.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in technical deployments and managing groups, suggesting strong operational fit and potential for mentoring. Experience in conducting over 200 interviews indicates strong communication and assessment skills. The descriptions of reducing costs and improving latency demonstrate a results-oriented approach.