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12 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

๐Ÿ‘จโ€๐Ÿ’ป About Me

I am a Machine Learning Engineer ๐Ÿค– passionate about building AI-driven solutions and enhancing my expertise in Data Science ๐Ÿ“Š, Machine Learning ๐Ÿง , and Deep Learning ๐ŸŒŸ. I specialize in ML algorithms ๐Ÿ“‰, Deep Learning models ๐Ÿงฌ, and Natural Language Processing (NLP) โœ๏ธ, with a growing focus on Large Language Models (LLM) ๐Ÿ’ฌ. My goal is to design, implement, and optimize AI systems that drive meaningful insights.

I have hands-on experience with AWS services โ˜๏ธ such as EC2, Lambda, EKS, ECR, S3, CloudWatch, SageMaker, and CloudFormation (CFT), implementing cost optimization ๐Ÿ’ฐ strategies, resource monitoring using lambda and cloudwatch ๐Ÿ“ˆ, and deploying Docker containers using ECS ๐Ÿšข.

I actively participate in Kaggle ๐Ÿ† and have earned multiple votes for my solutions in the Playground Series. Iโ€™ve solved over 400+ problems on LeetCode ๐Ÿ’ป& 550+ on GFG (focusing on Data Structures) and earned 5-star ratings ๐ŸŒŸ on HackerRank in both Java and Python.

Additionally, I have been exploring Docker ๐Ÿณ for containerization and Kubernetes ๐Ÿ› ๏ธ for orchestration, along with CI/CD practices using GitHub Actions โš™๏ธ and Jenkins. I also write Terraform scripts ๐Ÿ“ to manage infrastructure

Find Me Around the Web ๐ŸŒ:

  • ๐Ÿ“ง Email: abheshith7@gmail.com
    Reach out to me via email for collaborations, inquiries, or just to say hello! โœ‰๏ธ

  • ๐Ÿ’ผ LinkedIn: @abeshithkumaravel
    Connect with me on LinkedIn for professional updates and networking. ๐Ÿค

  • ๐ŸŒ Portfolio: abeshith-portfolio.netlify.app
    Check out my personal portfolio for a look at my projects, skills, and achievements. ๐Ÿ’ป

  • ๐Ÿ† Kaggle: @abeshith
    Explore my Kaggle profile to see my data science and machine learning projects, and solutions to challenges. ๐Ÿ“Š

  • ๐Ÿ’ป LeetCode: @Abeshith
    Follow my LeetCode journey where I tackle data structures, algorithms, and more! (Solved: LeetCode Badge) ๐Ÿ…

  • ๐Ÿ“š GeeksforGeeks: @abheshith_24
    Browse my GeeksforGeeks profile to see my problem-solving skills in data structures, algorithms, and more. ๐ŸŽ“

  • ๐Ÿ“š Medium: @Abheshith7
    Explore my Medium profile and access my storeis on various techs like RAG, FineTuning and more.... ๐ŸŽ“

Technologies I Work With ๐Ÿ’ป:

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

    ๐Ÿ”ฐ A Comprehensive RAG repository covering basic vanilla RAG techniques, advanced retrieval methods, hybrid search fusion approaches, hands-on reranking techniques with code + explanation ๐Ÿ“šโœจ

    Jupyter Notebook 8 2

  2. FineTuning_LanguageModels FineTuning_LanguageModels Public

    ๐ŸŽฏ 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 ๐Ÿฆ™, and Mistral ๐ŸŒช๏ธ for various NLP โ€ฆ

    Jupyter Notebook 5 1

  3. 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. Integratโ€ฆ

    Jupyter Notebook

  4. LangGraph LangGraph Public

    ๐Ÿš€ Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging tโ€ฆ

    Jupyter Notebook 9 1

  5. 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

  6. Kubernetes Kubernetes Public

    ๐Ÿฅ A compact collection of Kubernetes YAMLs and best practices โ€” perfect for experimenting locally ๐Ÿš€ Intended to help you learn core concepts like Deployments, Services, and ConfigMaps in just a fewโ€ฆ

    Python