Nitya Pathak
@nityapathak
I build production AI systems for enterprise search, prediction, and demand forecasting.
What I'm looking for
At Airbus, I build AI solutions for enterprise material intelligence, aircraft master-data prediction, and spare-parts demand forecasting.
I've developed a Material Intelligence Copilot that recommends standardized SAP material keywords, detects duplicate records through embeddings and semantic similarity, and enables natural-language knowledge queries using Vertex AI Gemini and Vertex AI Vector Search. I combine semantic search, prompt engineering, and LLM reasoning to produce grounded recommendations.
For aircraft master data, I built a two-stage machine learning pipeline using Logistic Regression and XGBoost to detect gaps and recommend gap codes. I also use SHAP to explain predictions and surface the business factors behind them.
I'm pursuing an M.Tech in Artificial Intelligence and Machine Learning at BITS Pilani while applying Python, SQL, machine learning, NLP, RAG, and Google Cloud Vertex AI to production-oriented enterprise systems.
Experience
Work history, roles, and key accomplishments
Developed AI-powered solutions for enterprise material intelligence, including a RAG-based copilot for SAP master data and a demand forecasting pipeline for spare parts. Built machine learning models for gap prediction and inventory optimization, leveraging SHAP for interpretability.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani
Master of Technology, Artificial Intelligence and Machine Learning
2026 -
Pursuing M.Tech in Artificial Intelligence and Machine Learning.
Lakshmi Narain College of Technology
Bachelor of Technology, Computer Science
2019 - 2023
Grade: 9.35/10
Completed B.Tech in Computer Science with a CGPA of 9.35/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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