As an AI Engineer with 8 years of professional experience, I have specialized in AI domains including Computer Vision, Deep Learning, Natural Language Processing, and Reinforcement Learning. My expertise has been leveraged across medicine, academia, and various industries to streamline data annotation and enhance model deployment workflows.

Projects I've Contributed to:

- Development of a Hebrew Document Verification System

- Integration of Hugging Face's Large Language Models

- Creation of an AI-powered Recommendation System for an E-commerce Website

- Implementation of a Face Liveness Detection Algorithm

- Enhancement of the Wav2Lip Framework for Realistic Lip Syncing

- Traffic Light Detection for Autonomous Vehicle Navigation

- Extraction of Data from German Invoices using AI

- Utilization of AI for Early Detection of Skin Cancer

- Social Distancing Compliance Monitoring using Computer Vision

- Automated Number Plate Recognition System

- Advanced Image Reconstruction Techniques

- Quality Improvement of Images through an AI-powered Enhancer

- Detection System for Human Falls to Aid Elderly Care

- Urdu Automated Speech Recognition (ASR) for Local Language Processing

- Evaluation of Handwritten Descriptive Answers

- Detection of Answers in Handwritten Multiple-Choice Questions (MCQs)

Technical Skills:

- Programming Language: Proficient in Python

- Frameworks:

  - TensorFlow

  - Keras

  - PyTorch

- Libraries:

  - OpenCV for image processing

  - Matplotlib for data visualization

  - Pandas & Numpy for data manipulation and numerical computation

  - Scikit Learn for machine learning algorithms

  - PIL for image operations

  - Tesseract, easyOCR, PaddleOCR for optical character recognition

- Techniques:

  - Expertise in EDA and Pre-processing of both Structured and Unstructured Datasets

  - Application of Transfer Learning using state-of-the-art models

  - Model Fine-tuning and Optimization

  - Proficient in various Machine Learning and Deep Learning algorithms

  - Extensive experience with OCR technologies

  - Implementation of Image Generative Models

  - Development and integration of Text-to-Speech and Speech-to-Text models in multiple languages

  - In-depth knowledge of Large Language Models and NLP techniques

- Tools & Platforms:

  - Anaconda for managing environments

  - Docker for containerization

  - Version control with GitHub

- Cloud Services:

  - Google Cloud Platform (GCP) including Vertex AI, BigQuery, AutoML, and more

  - Amazon Web Services (AWS) encompassing S3, SageMaker, EC2, etc.

- API & UI Development:

  - Flask and FastAPI for creating APIs

  - GPT Store integration

  - Streamlit and basic HTML/CSS for UI development

- Database Management:

  - Experience with Vector Databases like PineCone

  - Proficient in SQL, particularly with MySQL

- Command Line Interfaces:

  - Comfortable operating within both Windows and Linux environments