At Defence Materials and Stores Research and Development Establishment (DMSRDE), I built predictive maintenance recommendation models for fighter aircraft using Python and Random Forest algorithms, achieving 95 percent accuracy in maintenance scheduling predictions.
I processed and analyzed more than 10,000 aircraft maintenance records with Pandas and NumPy, and developed an end-to-end PyTorch pipeline integrating real-time sensor data.
At Mentamind Technologies Private Limited, I worked on generative AI models with LangChain, built data ingestion workflows on AWS S3, and integrated AI services and APIs. My projects include image denoising with DnCNN and a salary-prediction workflow using job-market data.
