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Senior ML Engineer | 6 Production ML Systems | GenAI | MLOps | AWS • Python • LLMs | Ex-EPFL • 1 Patent
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
illustrated-llm-inference
June 11, 2026 – Present
illustrated-llm-inference — GitHub repository
View Projectproduction-mlops-skills
June 4, 2026 – Present
production-mlops-skills — GitHub repository
View Projectml-algorithms
December 12, 2022 – February 11, 2024
Python implementation of ML algorithms from scratch
View Projectairbnb-data-science
September 29, 2020 – December 30, 2020
Predictive Price Modelling and Alternate Search Rankings for Airbnb listings
View Projectproduct-segmentation-ecommerce
August 27, 2020 – December 30, 2020
Using deep learning to perform object segmentation for products on e-commerce websites.
View Projectarticles
January 14, 2018 – June 11, 2024
Data-Storytelling, Data-Journalism, Data-Visualisation Projects
View Projectvisualisation-gitHub-d3
August 15, 2016 – August 15, 2016
Visualisation of popular GitHub repositories using d3.js
View Projectchar-classifer-rf-python
August 14, 2016 – August 15, 2016
Random Forest in Python to classify characters in Google street view images.
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely personal, which shows initiative but lacks experience in collaborative, team-based environments typical of professional settings. The projects are diverse within the data science/ML domain, but the absence of professional experience or team projects makes it difficult to assess cultural fit for a senior MLOps role. The target role 'MLops' requires strong collaboration and system integration skills, which are not evident from the current project list.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.