Nil Mamano

Co-Founder

San Francisco, California, United States10 yrs experience

Highly Stable

Key Highlights

Expert in algorithm design and computational biology.
Authored a book on coding interviews with industry leaders.
Co-authored multiple peer-reviewed papers on algorithms.

Stackforce AI infers this person is a highly skilled algorithm designer in the Tech and Education sectors.

Contact

nil@mamano.com LinkedIn

Skills

Other Skills

C++PythonJavaData StructuresResearchScientific WritingJavaScriptCHTML5CSSGitGithubLinuxLaTeXTypeScript

About

I am a computer scientist specialized in algorithm design. My PhD research spans data structures, greedy algorithms, graph theory, computational geometry, and computational biology. I am interested in the algorithmic challenges of scaling efficiency-critical systems.

Experience

10 yrs

Total Experience

2 yrs 9 mos

Average Tenure

1 yr 9 mos

Current Experience

Self-employed

Sabbatical

Aug 2024 – Present · 1 yr 9 mos · Palo Alto, CA

Wrote 'Beyond Cracking the Coding Interview' with Gayle Laakmann McDowell, Mike Mroczka, and Aline Lerner.

Google

Senior Software Engineer

Feb 2021 – Aug 2024 · 3 yrs 6 mos · Sunnyvale, California, United States

Worked on scaling the networking infrastructure.

Pathrise

Tech Hiring Consultant

Apr 2020 – Jan 2021 · 9 mos · United States

Revamped the A&DS curriculum for coding interviews. Developed and organized new programs and events for tech candidates to practice coding effectively. Created and taught study guides and workshops on topics like dynamic programming, sliding windows, tries, union-find, and bit manipulation, systematically breaking down technical concepts in an approachable way. Coached candidates.

Uc irvine donald bren school of information and computer sciences

3 roles

Teaching Assistant

Jan 2017 – Jan 2018 · 1 yr

Courses: design and analysis of algorithms (twice), graph algorithms (twice), and formal languages and automata theory. Championed the use of online judges to improve the students' experience and reduce the grading load.

Undergraduate Student Researcher

Feb 2015 – Jul 2015 · 5 mos

Developed SANA, a network alignment algorithm in C++ for Protein-protein interaction networks that aids in transferring biological knowledge across species.