
I'm a Senior MLOps Engineer with 6+ years of experience building production-ML systems. I write long-form articles on MLOps to help you build too!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
prompt-engineering-hub
June 30, 2025 – Present
A prompt hub to help you get the most out of your favorite LLM by generating (or using ready-made) optimized prompts!
View Projectmlflow-template
March 3, 2023 – May 10, 2023
This repository is a template to provide Continuous Integration (CI) for any kind of Machine Learning project using MLflow.
View Projectpython-template
February 20, 2023 – June 2, 2024
This repository is a template to provide Continuous Integration (CI) for any kind of Python projects
View ProjectNaive-Bayes-Classifier-from-scratch
September 1, 2020 – September 29, 2020
Naive Bayesian Classifier from scratch using PyTorch and analysis of alcohol consumption
View ProjectDecision-Trees-Ensembles-from-scratch
August 22, 2020 – September 29, 2020
Implementation of a decision trees and ensemble methods from scratch using PyTorch
View ProjectMultiple-Linear-Regression-from-scratch
August 14, 2020 – September 29, 2020
Multiple variable linear regression and PCA from scratch using Pytorch.
View ProjectLinear-Regression-from-scratch
August 11, 2020 – September 29, 2020
Linear regression from scratch using Pytorch.
View Projectimg-processing-cuda
October 22, 2017 – October 26, 2020
Implementation from scratch in CUDA C++ of image processing algorithms.
View ProjectAutonomous-RC-Car
June 18, 2017 – October 15, 2020
Autonomous remote-controlled car using Deep Learning
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in fundamental ML implementations and MLOps. However, the breadth of technologies and project types is somewhat narrow for a senior Data Scientist role, focusing heavily on 'from scratch' implementations rather than diverse real-world applications or large-scale system contributions. The lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.