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Achievement: Arctic Code Vault Contributor

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MohanBisunke/README.md

Hi 👋, I'm Mohan Bisunke

End to End AI/ML Application Developer from Nepal

  • AI/NLP Engineer specializing in LLM fine-tuning, transformer-based NLP, and RAG-optimized knowledge pipelines, with hands-on experience building agentic LLM systems and domain-focused Custom GPT workflows. Builds and automates intelligent, end-to-end workflows using multi-agent architectures with n8n, LangChain, and Model Context Protocol (MCP), leveraging LangGraph for stateful execution and LangSmith for tracing, evaluation, and observability. Experienced in deploying production-grade ML and LLM workflows using GitHub Actions, Docker, Kubernetes, MLflow, DVC, and AWS, delivering reliable, automated, and observable enterprise AI solutions.

Languages and Tools:

aws docker git grafana kubernetes python pytorch

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  1. Email_Multiclass_classification_LSTM Email_Multiclass_classification_LSTM Public

    The built model(LSTM) is able to Categorize emails into Primary, Spam, Promotions and Social. Because of dataset taken from individual, it's not uploaded for privacy concern.

    Jupyter Notebook

  2. MLOps_text_classification_project MLOps_text_classification_project Public

    Fully Deployed Text classification based app on AWS EKS with MLflow (DAGSHub), DVC + S3, Docker, GitHub Actions CI/CD, Prometheus & Grafana

    Python

  3. MLOps_vehicle_insurance_project MLOps_vehicle_insurance_project Public

    A fully-automated, end-to-end MLOps project that includes data ingestion from MongoDB, data validation, data transformation, model training, model evaluation, CI/CD pipelines, Dockerization, AWS de…

    Python

  4. romanized-nepali-text-sentiment-analysis romanized-nepali-text-sentiment-analysis Public

    The built model (Naive Bayes: Multinomial, Gaussian and Bernoulli combined voted) is Sentiment Analyzer for Romanized Nepali Text (Nepali words spoken in English Letters).The model predict either p…

    Jupyter Notebook