AI Engineer | Building the Future of Intelligent Systems I build AI that works in the real world. My experience ranges from creating interactive AI-talking avatars for education to developing robust OCR systems for international accounting. With a deep toolkit including PyTorch, TensorFlow, and FastAPI, I focus on delivering AI solutions that are scalable, secure, and user-centric. Core Skills:
- Frameworks: TensorFlow, PyTorch, LangChain, MediaPipe.
- Backend: FastAPI, Django, Flask, REST APIs.
- Cloud: AWS (Rekognition, Kinesis, Production Deployment).
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( Python, Django, MediaPipe, GTTS, Hugging Face (SadTalker), Speech_Recognition, OpenAi ChatGPT -4)
● Developed an interactive platform allowing children to communicate with AI-generated avatars of famous personalities like Isaac Newton, Albert Einstein, etc to learn interactively.
● Used SadTalker from Hugging Face to create lifelike, talking avatars based on celebrity likeness.
● Integrated ChatGPT to generate summaries of user queries and provide intelligent, context-based responses.
● Enabled voice interaction using speech recognition for input and GTTS for voice-based output, enhancing user
engagement.
( Python, Django, MediaPipe, GTTS, Hugging Face (SadTalker), Speech_Recognition, OpenAi ChatGPT -4)
● Developed an interactive platform allowing children to communicate with AI-generated avatars of famous personalities like Isaac Newton, Albert Einstein, etc to learn interactively.
● Used SadTalker from Hugging Face to create lifelike, talking avatars based on celebrity likeness.
● Integrated ChatGPT to generate summaries of user queries and provide intelligent, context-based responses.
● Enabled voice interaction using speech recognition for input and GTTS for voice-based output, enhancing user
engagement.
(Python, · FastAPI, Poisson distribution, OpenCV, Tesseract, ChatGPT )
● Developed a high-accuracy OCR system to extract structured fields from invoices, including dates, amounts, vendor names, and invoice numbers
● Integrated Tesseract for multilingual text recognition, enabling support for international invoices.
● Implemented automatic field classification and structured JSON output to support downstream tasks.
● Built a scalable FastAPI backend to expose OCR services as APIs, allowing smooth integration with accounting
tools, analytics pipelines, and enterprise systems
(Django, OpenCV, VGG-Face, PaddleOCR, MediaPipe, AWS Rekognition, AWS Kinesis, RetinaNet, YOLO V11 )
● Developed a KYC solution for the fintech industry, enabling UAE ID card scanning, face liveliness detection, face spoofing prevention, and face comparison.
● Leveraged AI-based algorithms for accurate user verification during onboarding.
● Integrated face comparison and document verification for enhanced security in the user verification process.
● Deployed on Rakbank’s platform (UAE Based Bank), successfully onboarding over 0.4 million users.
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