AI/ML engineer with strong technical and scientific curiosity, building AI Agents using RAG, MCP, n8n, and end-to-end automation frameworks.
I enjoy combining machine learning with scientific reasoning to solve real-world problems in Finanace, Automobile, biotech, automation, and AI systems.
- Master’s — University of Hyderabad
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Built autonomous AI agents to reduce ServiceNow ticket triage time by automatically classifying, routing, and suggesting resolutions for incoming incidents.
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Developed an SDLC automation agent using LangGraph, where multiple agents (PM, Frontend, Backend, QA) collaborate through defined nodes and edges, enabling structured workflow orchestration.
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Implemented shared contextual memory between agents to maintain task continuity and improve decision making across the development lifecycle.
I have implemented and fine-tuned a variety of ML and DL models in real production use cases.
Machine Learning Models:
Linear Regression, Logistic Regression, SVM, Decision Trees (DT), Random Forests (RF), KNN, Naive Bayes (NB),
Gradient Boosted Decision Trees (GBDT), XGBoost
Deep Learning Models:
Deep Neural Networks (DNN), Convolutional Neural Networks (CNN),
Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM)
AI & Agentic Systems
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- n8n automation
- Local LLMs and OpenAI models
- Vector Databases (ChromaDB, Pinecone)
- LangChain and LangGraph
Machine Learning & Data
- Python, pandas, NumPy
- scikit-learn, XGBoost
- TensorFlow / PyTorch (learning)
- Data cleaning, modeling, and evaluation
Developer Tools
- Git & GitHub
- Docker, WSL
- Jupyter Notebook, Google Colab
- Building AI Agents using RAG + MCP for scientific and operational automation
- Stability testing & cold-chain automation concepts
- ReagentXchange (surplus reagent marketplace – idea stage)
- ML experiments with time-series and options trading data
- RAG-ICH-Q6B
- QC-Stability-Design-Helper
- ReagentXchange-MVP
- Simple-Options-Signals
- LinkedIn: www.linkedin.com/in/sivadataphd
- Email: sivadatasci@gmail.com