Vishal Singh

Software Engineer

Lucknow, Uttar Pradesh, India5 yrs 1 mo experience

Highly Stable

Key Highlights

Experienced in managing high-traffic content platforms.
Led backend development for a B2B product.
Strong passion for teaching and impactful tech solutions.

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in social media and HR tech.

Contact

Skills

Other Skills

AlgorithmsBackend Web DevelopmentC (Programming Language)C++Data StructuresDeep LearningLaTeXLeadershipMachine LearningMicroservicesRESTful WebServicesRoboticsWeb ApplicationsWeb Development

About

I enjoy building impactful solutions for problems using tech and have strong passion for teaching. Software Engineer with experience in Backend: Django, Nodejs DevOps: AWS, Docker, Prometheus, Grafana Security: Vault, Crowdstrike Falcon

Experience

Google

Software Engineer III

Mar 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Zepto

Software Engineer II

Aug 2024 – Mar 2025 · 7 mos · Bengaluru, Karnataka, India · Hybrid

Sharechat

3 roles

Software Development Engineer - 2

Promoted

Sep 2023 – Aug 2024 · 11 mos

Managed content platforms, CDNs and video encoding pipelines across Sharechat and Moj for ~25M DAU

Software Development Engineer - I

Aug 2021 – Sep 2023 · 2 yrs 1 mo

SDE Intern

Jun 2021 – Jul 2021 · 1 mo

Bright money

Software Developer Intern

Aug 2020 – Jun 2021 · 10 mos · San Francisco Bay Area

Alwayz.io

Software Engineer Intern

Mar 2020 – May 2020 · 2 mos · Gurgaon, Haryana

Led backend development team from an idea to a minimum viable B2B product for HR and counselling (www.serefe.org).

Crio.do

Student Backend Developer

Jan 2020 – Mar 2020 · 2 mos

Csir-central drug research institute

Machine Learning Intern

Jan 2019 – Jul 2019 · 6 mos · Lucknow, Uttar Pradesh, India

▪Trained state-of-art Style Generative model presented in research paper on self-designed training set of Indian miniature art. Generated image in the styles of Madhubani art and carried out turing test in work environment.
▪Reviewed all AI approaches of Art Generation and possible scope of research in Neural, RL and Generative models. The paper is sent for peer review
▪Scrapped and cleaned images from archaeological sites and google images through multiple python scrapping scripts.