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prashant290605/README.md

Hi 👋, I'm Prashant Singh

Mathematics & Computing undergraduate at IIT Ropar

I build research-oriented machine learning systems — from Physics-Informed Neural Networks and inverse problems to LLM-augmented OCR pipelines and financial time-series models.

Current Interests

  • Scientific Machine Learning (PINNs, inverse problems, dynamical systems)
  • Vision & Language Models (OCR, multimodal pipelines)
  • Time-Series Modeling & Quantitative Finance
  • Applied Computer Vision (multi-object tracking, detection)

Tools & Technologies

ML & Scientific Computing
Python · PyTorch · TensorFlow · Transformers · NumPy · SciPy · Pandas · Matplotlib

Computer Vision
OpenCV · YOLOv8 · Deep SORT

Infrastructure
Docker · Git · Linux · AWS · GCP

Reach Me

📫 Email: prashants18488@gmail.com
📄 Resume: View here
🔗 LinkedIn: prashant-singh-7881a6287

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  1. RenAIssance_LLM RenAIssance_LLM Public

    End-to-end LLM-augmented Handwritten Text Recognition (HTR) pipeline for early modern Spanish manuscripts, combining TrOCR decoding with linguistic beam reranking and orthography-preserving context…

    Jupyter Notebook

  2. Enhancing-PINN-Based-Inverse-Modeling-of-the-Nonlinear-Pendulum Enhancing-PINN-Based-Inverse-Modeling-of-the-Nonlinear-Pendulum Public

    Forked from Pranavsingh431/Enhancing-PINN-Based-Inverse-Modeling-of-the-Nonlinear-Pendulum

    Physics-Informed Neural Networks with passivity constraints for inverse modeling of nonlinear pendulum dynamics with ensemble uncertainty quantification.

    Python

  3. Player-Tracking Player-Tracking Public

    Real-time football player tracking using YOLOv8 for detection and Deep SORT for multi-object identity assignment.

    Python

  4. Hybrid-Option-Pricing Hybrid-Option-Pricing Public

    Hybrid option pricing framework integrating LSTM volatility forecasting, GARCH modeling, and Monte Carlo simulation for ATM European call options.

    Jupyter Notebook