Akshay Pachaar
Co-Founder at Daily Dose of Data Science
Greater Delhi Area India
Summary
🤩
Rockstar🎓
Top SchoolAkshay Pachaar is a data science and AI leader with six years of experience building production ML systems and founding AI-focused ventures, currently co-founder at Daily Dose of Data Science. He led data science at TomTom and contributed to AI research engineering at Lightning AI, bringing practical expertise in CV, NLP, MLOps and LLMs. Akshay holds an MS in Mathematics and a BE in Electrical and Electronics from BITS Pilani, and is an inventor on three patents that reflect a blend of rigorous theory and applied engineering. He maintains an active engineering presence on GitHub—authoring in-depth tutorials and RAG/LLM applications including integrations with OpenAI Swarm, Ollama and Llama-3.2—demonstrating a knack for translating cutting-edge research into usable developer guides and tools. Based in Greater Delhi, he pairs startup-building experience with a strong academic foundation and a visible public voice on Python, maths for ML and practical AI deployments.
6 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Github Skills (18)
python10
image-processing10
lm10
llm10
retrieval-augmented-generation10
computer-vision10
jupyter-notebook10
ollama10
retrieval-augmented10
pandas9
scikit9
natural-language-processing9
scikit-learn9
documentation9
streamlit9
Programming languages (2)
Github contributions (5)
patchy631/ai-engineering-hub
Oct 2024 - Mar 2025
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Role in this project:
Technical Writer & ML Engineer
Technical Writer & ML EngineerContributions:2 reviews, 18 PRs, 117 pushes in 5 months
Contributions summary:Akshay primarily focused on creating and updating tutorials for OpenAI Swarm, integrating local language models using Ollama, and building a Retrieval-Augmented Generation (RAG) application for document chat. They demonstrated skills in natural language processing, creating user interfaces, and knowledge base development. The contributions include examples for creating a chat with documents application using RAG using Meta AI Llama-3.2.
agentsaillmsmachine-learningmcp
patchy631/machine-learning
Jun 2022 - Jan 2023
Role in this project:Data Scientist
Data ScientistContributions:53 commits, 101 pushes, 3 branches in 7 months
Contributions summary:Akshay's commits primarily focus on machine learning, particularly in the domain of image analysis. The user added tutorials demonstrating how to use various image processing techniques such as removing backgrounds, performing face detection/blurring, and creating a pencil sketch from an image. They also included a tutorial on generating dummy data for clustering, suggesting a focus on preparing and analyzing data for unsupervised learning tasks.
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