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Software Engineer (Machine Learning) at Yelp
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical University of Munich
Master’s Degree, Computer Science (Specialization in Machine Learning)
January 1, 2013 – January 1, 2016
University of Engineering and Technology, Lahore
Bachelor’s Degree, Computer Engineering
January 1, 2009 – January 1, 2013
Government College University, Lahore
High School, Pre-Engineering (Physics, Chemistry, Mathematics)
January 1, 2007 – January 1, 2009
Yelp
Software Engineer (Machine Learning)
October 1, 2023 – Present
Berlin, Germany
Amazon
Software Engineer
March 1, 2021 – October 1, 2023
Amazon
Machine Learning Engineer
June 1, 2019 – March 1, 2021
Amazon
Machine Learning Engineer
July 1, 2016 – June 1, 2019
TrustYou
Master Thesis Student
November 1, 2015 – June 1, 2016
Greater Munich Metropolitan Area
Amazon
Software Engineer Intern
July 1, 2015 – September 1, 2015
Munich Area, Germany
Fortiss
Working Student (Software Engineering and Research)
March 1, 2014 – June 1, 2015
Greater Munich Metropolitan Area
Techlogix
Software Engineer
June 1, 2013 – September 1, 2013
Lahore Area, Pakistan
Nestle Pakistan
Resident Engineer
June 1, 2013 – September 1, 2013
Lahore Area, Pakistan
UET Lahore
Teaching Assistant
January 1, 2013 – June 1, 2013
Lahore, Pakistan
Center for Language Engineering, KICS, UET Lahore
Research intern
February 1, 2012 – August 1, 2012
Lahore Area, Pakistan
Multi-Sequence MRI Segmentation using Boosting
July 1, 2014 – Present
MRBrainS 2014 Challenge - Segmention of brain structures in MRI scans. Aim of the challenge was to compare (semi-)automatic algorithms for segmentation of gray matter, white matter and cerebrospinal fluid on 3T MRI scans of the brain.
Automatic Urdu Text Summarizer
September 1, 2012 – June 1, 2013
BSc Computer Engineering final year project which explored the solutions towards Urdu text summarization by machine learning & computational linguistic approaches. It was developed as an efficient application to summarize the text using .Net framework 4.0 with the help of machine learning techniques.
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineer and Software Engineer roles, with a strong focus on model development, image processing, and natural language processing. While these roles involve data, the target role is 'Data Analyst'. This represents a significant mismatch in primary responsibilities and day-to-day tasks. Data Analyst roles typically require strong SQL, data visualization, A/B testing, and business intelligence skills, which are not explicitly highlighted in the candidate's extensive ML/SWE background. The projects also align more with ML research than traditional data analysis. This indicates a potential cultural mismatch with the expectations of a dedicated Data Analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving independent problem-solving (Teaching Assistant) and research, suggesting a capacity for analytical thinking and initiative. Experience in large organizations like Amazon and Yelp implies familiarity with structured development processes and collaboration. However, specific details on communication, teamwork, or leadership within these roles are not explicitly provided.