AI Engineer | Machine Learning | LLM Systems
I’m an AI Engineer focused on building practical, production-ready machine learning and generative AI systems.
My work spans ML modeling, NLP, LLM pipelines, and agent-based workflows, with an emphasis on clean architecture and real-world impact.
Languages: Python, SQL
ML & AI: Scikit-learn, PyTorch, XGBoost, HuggingFace
GenAI: OpenAI APIs, LangChain, LangGraph, RAG
Data: Pandas, NumPy, Vector Databases (FAISS / Pinecone)
MLOps: Docker, GitHub Actions, MLflow
Cloud: AWS / Azure (basic–intermediate)
📌 Pinned repositories below highlight my best work.
- 🧠 ML model development & evaluation
- 🗣️ NLP & LLM-powered applications
- 🤖 Agentic AI workflows
- 📊 End-to-end data → model → inference pipelines
| Project | Description |
|---|---|
https://github.com/Saikesana31/Medical_chatbot |
Classical ML models with evaluation & explainability |
nlp-llm-playground |
NLP + LLM pipelines (RAG, prompts, embeddings) |
rl-simulations |
Reinforcement learning environments & experiments |
- LinkedIn: www.linkedin.com/in/saikesana
- Email: kesana.class2024@gmail.com
⭐ If you find my work useful, feel free to star or collaborate.