Nagesh Bansal

Platform Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Key Highlights

Expert in Chaos Engineering and Resiliency strategies.
Proficient in Data Science and Machine Learning techniques.
Strong background in developing geospatial data pipelines.

Stackforce AI infers this person is a Data Science and Engineering specialist with a focus on Chaos Engineering and MLOps.

Contact

Skills

Core Skills

Chaos EngineeringKubernetesData ScienceDeep Learning

Other Skills

Go (Programming Language)ResiliencyC (Programming Language)DockerC++Python (Programming Language)Node.jsHTML5cssJSMachine LearningKotlin

Experience

Signoz

3 roles

Platform Engineer

Promoted

Mar 2026 – Present · 0 mo · Remote

Bringing Olly to the Community

Oct 2025 – Mar 2026 · 5 mos · Remote

Someone has to make sure the community loves Olly.
That someone is me! Community + Olly = :heart:

DevRel

Mar 2025 – Mar 2026 · 1 yr · Remote

Physarum.ai

MLOps Engineeer ( Platform Team)

Jun 2024 – Feb 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

Cloud native computing foundation (cncf)

LFX Mentor

Feb 2024 – Jul 2024 · 5 mos

Litmuschaos

3 roles

Core Team Member

Promoted

Jan 2024 – Oct 2025 · 1 yr 9 mos

Contributor

Promoted

Sep 2023 – Jan 2024 · 4 mos

LFX Mentee

Jun 2023 – Aug 2023 · 2 mos

Go (Programming Language)ResiliencyChaos EngineeringC (Programming Language)DockerKubernetes

Cloud native computing foundation (cncf)

LFX Mentee

Jun 2023 – Aug 2023 · 2 mos

Deep Learning

Models and robotics section iit roorkee

3 roles

Secretary

May 2023 – May 2024 · 1 yr

Data Science

Joint Secretary

Promoted

Jul 2022 – Jun 2023 · 11 mos

Data ScienceC (Programming Language)

Core Team Member

Aug 2021 – Jun 2022 · 10 mos

Google summer of code

Student Developer - Weecology@NumFocus

May 2022 – May 2023 · 1 yr

Worked under Weecology Lab, an Ecology and Environmental Data science research group at
the University of Florida.
Designed, Developed, and tested a pipeline for retrieving and manipulating Geospatial data collected
from the National Ecological Observatory Network (NEON) and made it ready for analysis in
Python.
Skills Used: Python, R, REST APIs, Pandas, Geopandas, Github CI/CD, Python-Unit-testing