I am a German citizen living in Munich, currently working as a Software Engineer at Lyft, specializing in backend development and machine learning. I have been working on creating Python and GraphQL based internal tools, I've improved debugging processes for ETA and routing issues by 72%.

Before Lyft, I worked as a Junior Data Scientist at Lidl, where I leveraged advanced NLP and image recognition techniques to optimize product similarity detection, reducing search times by 30%.

I hold a Master’s degree in Computer Science from Freie Universität Berlin (GPA 1.4), with expertise in machine learning, Python, Flask, and SQL. I also learned frontend (JavaScript, jQuery) by myself during study and work.

In my spare time, I continue to sharpen my skills through Coursera certifications in different fields like frontend and machine learning.

2024

Strongly connected component and Tarjan Algorithm
How Tarjan Algorithm efficiently finds strongly connected components (SCCs) in directed graphs using DFS.
Data Structure & Algorithm
2024-10-13
Adjacency Array
Ajacency array, a space-efficient graph representation best suited for static graphs.
Data Structure & Algorithm
2024-10-07

2021

Union-Find Problems in Leetcode
A summary of union-find problems in Leetcode.
Data Structure & Algorithm
2021-01-17
Heap related problems in Leetcode
A summary of heap related problems in Leetcode.
Data Structure & Algorithm
2021-01-06

2020

Linked List Problems in Leetcode
A summary of linked list problems in Leetcode.
Data Structure & Algorithm
2020-12-26

2019

Two-pointer in Leetcode Problems
A powerful method for solving string, array, linked list related problems in leetcode.
Data Structure & Algorithm
2019-05-24

2018

Importance sampling
A general technique for estimating properties of a particular distribution, while only having samples generated from a different distribution.
Machine Learning
2018-11-17
Rejection sampling
A technique to generate observations from a distribution.
Machine Learning
2018-11-08
Classical Multidimensional Scaling
A method used to translate pairwise distances of n objects into n points in Cartesian space. (pic from wiki)
Machine Learning
2018-03-08
Hello World
Who am I, what do I do, and why do I create this blog.
Life
2018-02-25