Where I h've Worked

Maestro in Programming

1. Programming Languages:

• Mastery in C, C++, Python

• Experience in writing optimized, modular, and reusable code.

2. Machine Learning (ML):

• Developing and deploying machine learning models.

• Expertise in parametric and non-parametric algorithms.

• Custom model training and inference optimization (e.g., ONNX).

3. Deep Learning (DL):

• Knowledge in building and fine-tuning deep neural networks.

• Experience with CNNs, RNNs, GANs, and UNET architectures.

4. Generative AI / Large Language Models (LLMs):

• Expertise in utilizing open-source LLMs for various NLP tasks.

• Developing custom LLM-based solutions for Intelligent Document Processing (IDP).

5. Intelligent Document Processing (IDP):

• End-to-end pipeline implementation using LLMs and OCR for extracting information from noisy documents.

• Image enhancement techniques to improve extraction accuracy.

6. Computer Vision:

• Implementation of models for specific applications like MRI brain ischemic stroke detection.

• Proficiency with YOLO and other object detection and image segmentation models.

7. Debugging and Optimization Tools:

• Advanced debugging techniques in Python and C/C++.

• Experience with tools such as GDB, Valgrind, PyCharm, VSCode, and performance profilers.

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