Adithya S K
Data ScientistShipping @huggingface
huggingface
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Shipping @huggingface
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
huggingface
Data Scientist
June 20, 2026 – Present
manim_skill
January 22, 2026 – Present
Agent skills for Manim to create 3Blue1Brown style animations.
View ProjectOpenEnv
October 1, 2025 – Present
An interface library for RL post training with environments.
View ProjectGitVizz
April 18, 2025 – Present
Visualize and analyze GitHub or local repositories using LLM-friendly summaries, file structure, and interactive dependency graphs.
View Projectomniparse
June 4, 2024 – December 12, 2025
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
View Projectmarker-api
May 10, 2024 – October 15, 2024
Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
View ProjectVARAG
March 18, 2024 – July 23, 2025
Vision-Augmented Retrieval and Generation (VARAG) - Vision first RAG Engine
View ProjectAI-Engineering.academy
October 5, 2023 – Present
Mastering Applied AI, One Concept at a Time
View Projecttrl
March 27, 2020 – Present
Train transformer language models with reinforcement learning.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects, many of which are open-source or tool-oriented, suggest a proactive, self-driven individual who is passionate about contributing to the AI/ML community. This aligns well with a culture that values innovation, continuous learning, and practical application. The diversity of projects, from RAG engines to RL environments, indicates a broad interest within the AI domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a strong drive for innovation and practical problem-solving, which are positive indicators for operational fit in a dynamic AI environment.