Hi 👋, I'm Abhay Ahirkar

A passionate developer from India | Data Engineer | AI/ML Enthusiast

I'm a passionate Data Engineer and AI/ML Engineer specializing in building scalable data pipelines, implementing machine learning solutions, and developing Gen-AI applications. With expertise in cloud platforms and modern data technologies, I transform complex data challenges into innovative solutions.

• 🔭 Currently working on: Advanced Data Engineering projects, LLM applications, and MLOps pipelines
• 🌱 Learning: Advanced LLM fine-tuning, Real-time streaming architectures, and Cloud-native data solutions
• 👯 Collaboration: Open to collaborating on open-source data engineering, AI/ML, and Gen-AI projects
• 💬 Ask me about: Python, SQL, Apache Spark, Kafka, dbt, MLOps, LangChain, RAG systems, Cloud platforms
• 🎓 Education: B.Tech in Electronics & Telecommunication Engineering from PCCOE, Pune
• 📫 Reach me:

• Gen-AI-Course 🤖

  • Comprehensive course on Generative AI with LLMs and practical implementations

• ML 📚

  • Machine Learning projects and experiments with Jupyter notebooks

• LLM 🧠

  • Large Language Model exploration and applications

• lending_data_analytics 💰

  • Data analytics project focused on lending data insights

• taxi_rides_ny_dbt 🚕

  • dbt project for NYC taxi ride data transformation and analysis

• agri_data_pipeline 🌾

  • Agricultural data pipeline for ETL processes (5 stars ⭐)

• de-zc-2025 📈

  • Data Engineering Zoomcamp exercises and implementations

• spark-practice ⚡

  • Apache Spark practice projects for distributed data processing

• search-engine 🔍

  • Building search engine with AI capabilities

• projects 📁

  • Collection of various interesting projects

• 35+ repositories
• 7 followers
• 150+ following
• 🏆 Achievements: Quickdraw, Pull Shark x2, YOLO
• 💻 Active in Data Engineering and AI/ML communities

• 🏗️ Building scalable data pipelines with Apache Spark, Kafka, and Airflow
• 🤖 Developing LLM applications using LangChain, RAG systems, and vector databases
• 📊 Implementing real-time analytics solutions with streaming technologies
• ☁️ Architecting cloud-native data platforms on GCP, AWS, and Azure
• 🔬 Exploring MLOps practices for production ML deployment
• 📚 Learning advanced distributed systems and data mesh architectures

• Data Engineering: ETL/ELT pipelines, Data warehousing, Batch & Stream processing
• Machine Learning: Supervised/Unsupervised learning, Deep Learning, Model deployment
• Gen-AI: RAG systems, LLM fine-tuning, Prompt engineering, Vector embeddings
• Cloud Platforms: GCP (BigQuery, Dataflow), AWS (S3, Redshift, EMR), Azure
• Orchestration: Apache Airflow, Prefect, Workflow automation
• Data Modeling: Dimensional modeling, dbt, Data quality frameworks

• 🎓 B.Tech in Electronics & Telecommunication Engineering - PCCOE PUNE
• 🏅 GitHub Achievements: Quickdraw, Pull Shark x2, YOLO
• 📚 Completed: Data Engineering Zoomcamp, Gen-AI Course
• 💡 Active Contributor: Open-source data engineering projects