Machine Learning Engineer (NLP / LLM Systems)
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 build NLP and LLM systems end to end—from data and model architecture to training, evaluation, and deployment. I care about data quality, precision, and rigorous evaluation—systems that earn trust quietly under real-world constraints. I’m most at home where research, engineering, and product judgment meet.
Columbia University
Master of Science (M.S.), Data Science
September 1, 2016 – December 1, 2017
UCLA
Bachelor of Arts (B.A.), Business Economics, Minor in Accounting
September 1, 2012 – December 1, 2014
Career Break
Travel
April 1, 2026 – Present
New York, NY
Teleskope
Machine Learning Engineer
October 1, 2025 – April 1, 2026
New York, NY
Apple
Senior Data Scientist
August 1, 2022 – August 1, 2025
New York, NY
Uber
Data Scientist
December 1, 2021 – August 1, 2022
New York, NY
Forbes
Data Scientist
February 1, 2018 – November 1, 2021
Jersey City, NJ
Paramount
Data Scientist
May 1, 2017 – December 1, 2017
New York, NY
The Analytics Edge
Massachusetts Institute of Technology
June 24, 2026 – Present
Data Science Specialization
The Johns Hopkins University
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Data Science and Machine Learning roles. While valuable, the target role is 'Software Engineer', which suggests a potential mismatch in core responsibilities and day-to-day tasks. The career break for 'Independent AI Research & Prototyping' shows initiative but doesn't directly align with general software engineering practices. The lack of explicit software engineering projects or roles makes it difficult to assess cultural fit for a pure software engineering team.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test scores are 0, indicating no assessment was completed.