Anoop Sharma

ML Engineer

https://www.opentalent.in/anoop-sharma-3

ML Engineer

Bengaluru, Karnataka, IndiaMember since June 15, 2026

Key Strengths

Demonstrated interest in Machine Learning and data workflows through projects like 'dagmate' and 'llmapi'.
Proficiency in Python, a core language for ML engineering.
Experience with workflow orchestration concepts (Dagster) relevant to MLOps.
Exposure to front-end technologies (TypeScript, JavaScript, HTML, CSS) which can be beneficial for ML model deployment interfaces.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a proactive and self-driven approach through numerous personal projects, indicating a strong inclination towards continuous learning and practical application. The diversity of projects, from ML-focused tools to web development and system utilities, suggests adaptability and a broad technical curiosity. This aligns well with a culture that values initiative and versatile problem-solving. The focus on personal projects, however, means there is no direct evidence of team collaboration or experience in a structured corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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Projects

nextjs-pushstate-prefetch-revert-repro

May 18, 2026 – Present

Minimal codebase to reproduce issue with nextjs router

View Project

impromptu-sdk

April 5, 2026 – Present

impromptu-sdk — GitHub repository

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codeqa

November 10, 2025 – November 10, 2025

Code quality monitoring and improvement recommendations

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portfolio

February 15, 2025 – February 15, 2025

portfolio — GitHub repository

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llmapi

August 31, 2023 – September 1, 2023

llmapi — GitHub repository

View Project

OpenGrammar

August 14, 2023 – August 14, 2023

OpenGrammar — GitHub repository

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laptop-setup

October 26, 2022 – October 26, 2022

laptop-setup — GitHub repository

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google-colab

June 14, 2022 – June 20, 2022

Collection of notebooks ran on Google Colab

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timesheet

June 4, 2022 – June 4, 2022

timesheet — GitHub repository

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dagmate

May 12, 2022 – August 5, 2022

Dynamically generate Dagster workflows with just YAML configuration files

View Project

Key Strengths

Demonstrated interest in Machine Learning and data workflows through projects like 'dagmate' and 'llmapi'.
Proficiency in Python, a core language for ML engineering.
Experience with workflow orchestration concepts (Dagster) relevant to MLOps.
Exposure to front-end technologies (TypeScript, JavaScript, HTML, CSS) which can be beneficial for ML model deployment interfaces.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Anoop Sharma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit