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Schedule Interview NowMy name is Rehan A. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: PyTorch, TensorFlow, OpenCV, Python, Deep Learning, etc.. I hold a degree in Doctor of Philosophy (PhD). Some of the notable projects I've worked on include: Real-time heartbeat anomly prediction from digital stethoscope, TTS Expert, Voice agent VAPI + n8n, Voice agent with emotions, Speech to viseme extraction for Avatars, etc.. I am based in Islambad, Pakistan. I've successfully completed 10 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
Main technologies
8 years
2 Years
2 Years
6 Years
Potentially possible
Vincere Systems
This project contains prediction of heartbeat anomalies by a CNN based model. CNN model was trained on the publicly available data from different sources. Real-time stethoscope audio is captured f
Project requires preparing Arabic speech data and fine-tuning StyleTTS2 model for fully on-prem voice synthesis and cloning stack. Acquired Arabic speech data in Egyptian dialect and fine-tuned StyleT
This project includes developing appointment booking voice agent using VAPI and its integration with n8n for workflow automation. VAPI does voice calling and uses tool to send details to n8n. n8n take
The voice agent is developed using Speech-to-Text, LLM and Text-to-speech models. A simple workflow is being generated using LangGraph for conversation handling and detecting end of conversation.
The goal of this project was to devlope a viseme generation module given input speech. The visemes are used to drive the lip movements of the avatar. This is achieved by training/ fine-tuning state-of
Doctor of Philosophy (PhD) in Multimodal Speaker Diarization
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