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Akshay Dhotre | Gravity Talent Portal

Akshay Dhotre

Akshay Dhotre

MLOps

https://talent.gravityer.com/akshay-dhotre

Applied AI / ML Engineer • GenAI, NLP, MLOps | Hands-on builder | Tech-agnostic problem solver | Fast learner by design

Pune, Maharashtra, India

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 15, 2026

https://talent.gravityer.com/akshay-dhotre

Top Skills

Jupyter NotebookPythonJavaScriptMakefileBatchfileDockerfileHCLtypescriptCSS

Skills

Jupyter NotebookPythonJavaScriptMakefileBatchfileDockerfileHCLtypescriptCSS

Projects

akshay-kosh

May 20, 2026 – Present

Local-first personal knowledge compiler: cloud LLM compiles documents into a validated markdown wiki, local LLM answers from it.

overbuild-detector

March 28, 2026 – Present

overbuild-detector — GitHub repository

rxvision

March 11, 2026 – Present

rxvision — GitHub repository

crucible-eval

February 21, 2026 – Present

crucible-eval — GitHub repository

client-ask-formatter

February 19, 2026 – Present

client-ask-formatter — GitHub repository

resume-builder

February 8, 2026 – Present

resume-builder — GitHub repository

pharma-ocr-pipeline

January 24, 2026 – Present

pharma-ocr-pipeline — GitHub repository

slm_bhagwat_gita

December 24, 2025 – Present

slm_bhagwat_gita — GitHub repository

chat-with-documents

August 18, 2023 – August 19, 2023

Repository for chatting with your documents using chatdocs library

pdf-chatbot

July 16, 2023 – August 19, 2023

simple local pdf chatbot

Key Strengths

Demonstrated interest in Machine Learning and MLOps through personal projects.
Proficiency in Python, a core language for ML/MLOps.
Experience with Dockerfiles, indicating some understanding of containerization.
Exposure to Jupyter Notebooks for ML experimentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on LLMs and document processing, which aligns with the MLOps target role in terms of domain interest. However, the lack of team-based projects, professional experience, or diverse project types makes it difficult to fully assess cultural fit. The projects show a strong individual initiative.

Soft Skills & Operational Fit

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