Skip to content
View Abeshith's full-sized avatar
:octocat:
I may be slow to respond.
:octocat:
I may be slow to respond.

Block or report Abeshith

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Abeshith/README.md

πŸ‘¨β€πŸ’» About Me

I am a Machine Learning Engineer πŸ€– passionate about building AI-driven solutions and enhancing my expertise in Data Science πŸ“Š, Machine Learning 🧠, and Deep Learning 🌟. I specialize in ML algorithms πŸ“‰, Deep Learning models 🧬, and Natural Language Processing (NLP) ✍️, with a growing focus on Large Language Models (LLM) πŸ’¬. 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 πŸ’° strategies, resource monitoring using lambda and cloudwatch πŸ“ˆ, and deploying Docker containers using ECS 🚒.

I actively participate in Kaggle πŸ† and have earned multiple votes for my solutions in the Playground Series. I’ve solved over 400+ problems on LeetCode πŸ’»& 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 πŸ› οΈ for orchestration, along with CI/CD practices using GitHub Actions βš™οΈ and Jenkins. I also write Terraform scripts πŸ“ to manage infrastructure

Find Me Around the Web 🌍:

  • πŸ“§ Email: abheshith7@gmail.com
    Reach out to me via email for collaborations, inquiries, or just to say hello! βœ‰οΈ

  • πŸ’Ό 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. πŸ’»

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

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

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

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

Technologies I Work With πŸ’»:

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

    πŸ”° A Comprehensive RAG repository covering basic vanilla RAG techniques, advanced retrieval methods, hybrid search fusion approaches, hands-on reranking techniques with code + explanation πŸ“šβœ¨

    Jupyter Notebook 13 4

  2. 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 πŸ¦™, and Mistral πŸŒͺ️ for various NLP …

    Jupyter Notebook 5

  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. Integrat…

    Jupyter Notebook

  4. LangGraph LangGraph Public

    πŸš€ Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging t…

    Jupyter Notebook 12 3

  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

    πŸ₯ A compact collection of Kubernetes YAMLs and best practices β€” perfect for experimenting locally πŸš€ Intended to help you learn core concepts like Deployments, Services, and ConfigMaps in just a few…

    Python