Prabhsimran Singh

Lead ML Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in high performance computing and model optimization.
Proven track record in speech processing and AI model performance.
Strong background in machine learning and system design.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI and high-performance computing.

Contact

Skills

Core Skills

Machine LearningSpeech RecognitionKyc VerificationStatistical ModelingAlgorithms

Other Skills

CC++CUDAChatbot DevelopmentComputer VisionData StructuresDeep LearningDistributed SystemsDockerGitGo (Programming Language)High Performance Computing (HPC)JavaScriptLarge Language Models (LLM)Linux

About

As you can imagine, I am interested in technology as a whole, and software systems in particular. I have a passion and an instinct for solving complex problems using effective system design and engineering to squeeze out maximum performance from AI models. Technically relentless, deeply curious, with a hunger to build for good and make an impact. I am currently focused on high performance computing and model throughput optimisations in areas like Speech Processing, Language models. Other research interests include Learning Theory, Reinforcement Learning, Parallel Computing and Optimization.

Experience

6 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 10 mos

Current Experience

Nvidia

Senior System Software Engineer

Jul 2024 – Present · 1 yr 10 mos · Bangalore

Observe.ai

Senior Machine Learning Engineer

Nov 2023 – Jun 2024 · 7 mos

Skit.ai

2 roles

Lead Machine Learning Engineer

Dec 2021 – Nov 2023 · 1 yr 11 mos

Machine Learning Research Engineer

Jun 2019 – Nov 2021 · 2 yrs 5 mos

Working on understanding Human Conversation and redefining task-oriented Dialog systems.
Leading R&D efforts on our Speech Recognition pipeline and various other Speech Processing components.
Building highly scalable and performant production ML systems for efficient real-time inference.

Vahan inc.

Software Engineer, Machine Learning

Jan 2019 – Jun 2019 · 5 mos · Bengaluru, Karnataka, India

Rebuilt the User Verification system to reduce fraudulent activity and drastically improved performance.
Developed a User Quality algorithm that reached 72% accuracy and boosted conversation rate.
Reimplemented Intent Classifier, reduced training time and improved accuracy by 8%.