نبذة عني
AI Engineer with 3+ years of experience in Generative AI and Computer Vision.Built projects like RAG Chatbot, Multi-Agent RAG, Object detection ,image classification, OCRs.Experience in REST APIs, RAG systems, and LangCh…
AI Engineer with 3+ years of experience in Generative AI and Computer Vision.Built projects like RAG Chatbot, Multi-Agent RAG, Object detection ,image classification, OCRs.Experience in REST APIs, RAG systems, and LangChain, I am excited about the opportunity to contribute to your team.
In my current role, I have worked on:
Building and deploying AI/ML solutions
Developing RAG-based applications and chatbots
Working with LLMs, embeddings, and vector databases
Creating scalable APIs and deploying solutions using cloud & CI/CD
الخبرة
Gen AI Engineer
Built a production RAG-powered Q&A chatbot using LangChain for data ingestion, chunking, and embedding storage across ChromaDB and Milvus — enabling semantic search over large document corpora., Integrated vLLM for high-throughput streaming inference, significantly reducing response latency in real-time chatbot interactions., Implemented Speech-to-Text using faster-Whisper for high-accuracy multilingual transcription from live audio, audio files, and video files., Built a multilingual translation pipeline with NLLB-200 and CTranslate2, supporting 20+ languages with optimized inference for near real-time throughput., Designed a Neural Text-to-Speech system using Kokoro TTS with multiple speaker voices and speech speed control.
Gen AI Engineer
Built a production RAG-powered Q&A chatbot using LangChain for data ingestion, chunking, and embedding storage across ChromaDB and Milvus, enabling semantic search over large document corpora.
Integrated vLLM for high-throughput streaming inference, significantly reducing response latency in real-time chatbot interactions.
Implemented Speech-to-Text using faster-Whisper for high-accuracy multilingual transcription from live audio, audio files, and video files.
Built a multilingual translation pipeline with NLLB-200 and CTranslate2, supporting 20+ languages with optimized inference for near real-time throughput.
Designed a Neural Text-to-Speech system using Kokoro TTS with multiple speaker voices and speech speed control.
Computer Vision Engineer
Developed and deployed computer vision models for applications such as object detection, image classification, optical character recognition (OCR), and defect detection., Optimized deep learning models using TensorFlow and PyTorch, enhancing performance and accuracy by 15%., Conducted exploratory data analysis (EDA) and applied data preprocessing techniques, including tokenization and bag of words, while implementing large language models (LLMs) like Llama., Enhanced model training efficiency through data augmentation and annotation., Developed and deployed RESTful APIs for YOLO and OCR algorithms using Flask API and FastAPI, which facilitated seamless integration.
Computer Vision Engineer
Developed and deployed computer vision models for applications such as object detection, image classification, optical character recognition (OCR), and defect detection.
Optimized deep learning models using TensorFlow and PyTorch, enhancing performance and accuracy by 15%.
Conducted exploratory data analysis (EDA) and applied data preprocessing techniques, including tokenization and bag of words, while implementing large language models (LLMs) like Llama.
Enhanced model training efficiency through data augmentation and annotation.
Developed and deployed RESTful APIs for YOLO and OCR algorithms using Flask API and FastAPI, which facilitated seamless integration.
Computer Vision Engineer
Developed and deployed computer vision models for applications such as object detection, image classification., Researched and implemented computer vision pipelines, enhancing model accuracy., Maintained comprehensive technical documentation, streamlining knowledge transfer and onboarding, resulting in a faster integration time., Annotated datasets and visualized results
Computer Vision Engineer
Developed and deployed computer vision models for applications such as object detection and image classification.
Researched and implemented computer vision pipelines, enhancing model accuracy.
Maintained comprehensive technical documentation, streamlining knowledge transfer and onboarding, resulting in a faster integration time.
Annotated datasets and visualized results.