Nishok Kumar Sundaressan

Software Engineer

Bengaluru, Karnataka, India5 yrs 8 mos experience

AI EnabledHighly Stable

Key Highlights

Over 5 years of experience at Google.
Specialized in machine learning infrastructure and full-stack development.
Led high-impact engineering productivity tools using AI/ML.

Stackforce AI infers this person is a Software Engineer specializing in AI/ML and full-stack development within the tech industry.

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Skills

Core Skills

Software DevelopmentAlgorithmsMachine LearningNatural Language Processing

Other Skills

Deep LearningOperating SystemsArtificial Intelligence (AI)C (Programming Language)AndroidEmbedded SystemsC++SwiftPythonJavaComputer ScienceData StructuresImage Processing

About

Versatile Software Engineer with over 5 years of experience at Google, specializing in systems software, machine learning infrastructure, and full-stack development. Proven ability to design, implement, and optimize complex systems across the stack, from low-level firmware and runtimes to large-scale consumer applications. Experienced in conceptualizing and leading high-impact engineering productivity tools using AI/ML.

Experience

5 yrs 8 mos

Total Experience

5 yrs 8 mos

Average Tenure

5 yrs 8 mos

Current Experience

Google

2 roles

Software Engineer

Aug 2020 – Present · 5 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

Versatile Software Engineer with over 5 years of experience at Google, specializing in systems software, machine learning infrastructure, and full-stack development. Proven ability to design, implement, and optimize complex systems across the stack, from low-level runtimes and firmwares to large-scale consumer applications. Experienced in conceptualizing and leading high-impact engineering productivity tools using AI/ML.

Software DevelopmentAlgorithms

Software Engineering Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

Interned with the Google Maps Megamind team. Worked on designing machine learning models for language modeling on geo-data feature names. These models would be used in assisting spam detection on Maps.

Machine Learning