Varish Gautam

Lead ML Engineer

Pune, Maharashtra, India3 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building ML pipelines and automation workflows.
Experience with LLM systems and NLP technologies.
Patented innovations in wearable and VR ecosystems.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions and scalable backend systems.

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Skills

Core Skills

Software InfrastructureSoftware Design

Other Skills

React.jsArtificial Intelligence (AI)C++Generative AIEngineeringSoftware IndustryDjangoData AnalysisJavaAndroidAndroid StudioAndroid TestingAndroid SupportC (Programming Language)Python (Programming Language)

About

Machine learning engineer working on LLM systems, NLP, and scalable backend platforms. Experience building ML pipelines, automation workflows, and model-driven systems at Samsung and NVIDIA. Interested in large language models, distributed systems, and multi-agent AI.

Experience

3 yrs 10 mos

Total Experience

3 yrs 5 mos

Average Tenure

5 mos

Current Experience

Nvidia

Engineer 2

Nov 2025 – Present · 5 mos · Pune District · On-site

Samsung india

Software Engineer

Jun 2022 – Nov 2025 · 3 yrs 5 mos · Noida · On-site

Built text processing and NLP pipelines for multilingual search and intent mapping systems.
Developed an LLM-based system to understand document layouts and convert UI/UX or document structures into structured data and code-like outputs.
Designed workflow evaluation and automation modules to make enterprise workflows more consistent, predictable, and efficient.
Contributed to document OCR upload, preview, correction, and data extraction pipelines to improve document processing accuracy and user experience.
Patents filed during my time (related to wearable and VR ecosystem such as Galaxy Ring and wearable interaction systems):
1- Scuffle Detection Using Wearable Sensor Data
2- Smart Filtering and Focus Control for Graphic Content
3- Gesture-Based VR Control with Samsung Ring
4- Ad Placement in VR Based on User Cognitive State

Software InfrastructureSoftware Design