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I may be slow to respond.
7 followers · 14 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

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Abeshith/README.md

👨‍💻 About Me

I am a Machine Learning Engineer 🤖 passionate about building AI-driven solutions and enhancing my expertise in Data Science 📊, Machine Learning 🧠, and Deep Learning 🌟. I specialize in ML algorithms 📉, Deep Learning models 🧬, and Natural Language Processing (NLP) ✍️, with a growing focus on Large Language Models (LLM) 💬. My goal is to design, implement, and optimize AI systems that drive meaningful insights.

I have hands-on experience with AWS services ☁️ such as EC2, Lambda, EKS, ECR, S3, CloudWatch, SageMaker, and CloudFormation (CFT), implementing cost optimization 💰 strategies, resource monitoring using lambda and cloudwatch 📈, and deploying Docker containers using ECS 🚢.

I actively participate in Kaggle 🏆 and have earned multiple votes for my solutions in the Playground Series. I’ve solved over 400+ problems on LeetCode 💻& 550+ on GFG (focusing on Data Structures) and earned 5-star ratings 🌟 on HackerRank in both Java and Python.

Additionally, I have been exploring Docker 🐳 for containerization and Kubernetes 🛠️ for orchestration, along with CI/CD practices using GitHub Actions ⚙️ and Jenkins. I also write Terraform scripts 📝 to manage infrastructure

Find Me Around the Web 🌍:

  • 📧 Email: abheshith7@gmail.com
    Reach out to me via email for collaborations, inquiries, or just to say hello! ✉️

  • 💼 LinkedIn: @abeshithkumaravel
    Connect with me on LinkedIn for professional updates and networking. 🤝

  • 🌐 Portfolio: abeshith-portfolio.netlify.app
    Check out my personal portfolio for a look at my projects, skills, and achievements. 💻

  • 🏆 Kaggle: @abeshith
    Explore my Kaggle profile to see my data science and machine learning projects, and solutions to challenges. 📊

  • 💻 LeetCode: @Abeshith
    Follow my LeetCode journey where I tackle data structures, algorithms, and more! (Solved: LeetCode Badge) 🏅

  • 📚 GeeksforGeeks: @abheshith_24
    Browse my GeeksforGeeks profile to see my problem-solving skills in data structures, algorithms, and more. 🎓

  • 📚 Medium: @Abheshith7
    Explore my Medium profile and access my storeis on various techs like RAG, FineTuning and more.... 🎓

Technologies I Work With 💻:

LANGUAGES



FRAMEWORKS & LIBRARIES


MLOPS

MLOps Apache Airflow MLflow DVC Astronomer ZenML Weights & Biases

DEPLOYMENT

Docker Kubernetes Jenkins GitHub Actions GitHub Terraform

CLOUD COMPUTING

AWS

MONITORING TOOLS

Prometheus Grafana

Pinned Loading

  1. RAG-FundaMentals RAG-FundaMentals Public

    🔰 A Comprehensive RAG repository covering basic vanilla RAG techniques, advanced retrieval methods, hybrid search fusion approaches, hands-on reranking techniques with code + explanation 📚✨

    Jupyter Notebook 2 1

  2. MachineLearning-PipeLine MachineLearning-PipeLine Public

    Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrat…

    Jupyter Notebook

  3. MLOps_PipeLine MLOps_PipeLine Public

    Complete MLOps pipeline: 6-stage ML workflow,, Kubernetes deployment, Prometheus monitoring, Airflow orchestration, CI/CD automation, Obervability Stacks (Prometheus, EFK)

    Python

  4. FineTuning_LanguageModels FineTuning_LanguageModels Public

    🎯 Fine-tune large language models and use them for text-related tasks. This repository provides a straightforward approach to fine-tuning models like Gemma, Llama 🦙, and Mistral 🌪️ for various NLP …

    Jupyter Notebook 1

  5. Enhanced-Image-Search Enhanced-Image-Search Public

    🖼️ An web application that allows users to upload images, extract embedded text using OCR, and store metadata in a searchable database. 🔍 Users can search for specific text to retrieve relevant ima…

    HTML

  6. Kubernetes Kubernetes Public

    🍥 A compact collection of Kubernetes YAMLs and best practices — perfect for experimenting locally 🚀 Intended to help you learn core concepts like Deployments, Services, and ConfigMaps in just a few…

    Python

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