Video and voice biomarkers for mental health detection
As an experienced entrepreneur with a history of scaling tech companies in the Web2 and Web3 sectors, I have a record of driving growth, innovation, and profitability, resulting in a Unicorn exit. I specialize in product design in healthcare, using human-centered design and data insights to transform the industry. My work at Medera and BOTIM involved using Python, machine learning, and strategic decision-making to drive business growth, leading to a $500M acquisition. I have expertise in developing predictive models, API integration, and a collaborative approach that enhances product development and market analysis.
Pioneering the next generation of forefront technology in mental health primary care, Medera.ai revolutionizes the industry with:
‣ Medera-LLM
‣ Video and voice mental health biomarkers
‣ Specialized e-Referral system
‣ Dynamic business models (B2B2C, B2C2B, B2C)
‣ Chatbot functionality
As the product leader who spearheaded a unicorn exit with a valuation of $500M USD in Dubai, I bring a unique blend of strategic vision and operational expertise to the table. With a proven track record of driving product success in the Middle East, culminating in a landmark exit that redefined industry standards, I possess expertise in:
As a seasoned Business Development Manager with a proven track record in the Middle East, I leveraged data science expertise to drive monetization strategies for SOMA Messenger, yielding significant revenue growth across Ads clients. With a strong background in technical monetization and a deep understanding of user behavior, I successfully expanded the platform's reach and engagement, surpassing 14 million active daily users:
As a Software Engineer at MOL, I collaborated with a cross-functional team to design and develop workflow software tailored to labor offices' requirements. My technical expertise enabled the creation of a comprehensive system encompassing ticketing, timeline management, pricing, criterion-based evaluations, and Saudiization rate assessment for SMEs. I played a key role in defining business and technical requirements, ensuring seamless integration and efficient workflow management:
I began my career at STC Company as a CS intern and later transitioned to a full-time Software Engineer role. I was an integral part of a cross-functional team responsible for developing an in-house Project Management System and ERP System for mobile network projects. Leveraging my technical expertise in backend development and databases, I contributed to the design and implementation of these critical systems, ensuring efficient project management and seamless network operations.
Stack: Python, R, Tensor-flow, PyTorch, Scikit-learn, Spark
Daily user: Python, ML libraries, OpenCV, Tensor-flow, PyTorch, Trello, Slack
Frequent user: Spark over PySpark and Scala, SQL(MySQL, Postgre), NoSQL(DynmoDB) AWS and Google cloud, Flask
Used in several projects: Hadoop and Hive, Cassandra and MongoDB, ElasticSearch, Kibana
Languages: Arabic, English
Interests: Listening to Data Science podcasts and Deep learning, playing tennis and hiking in the weekend
- MIT Hacking Medicine Grand Prize Winner, 2018, NYC**
- Selected for Plug and Play GOAL Startup Batch, 2023, Sunnyvale, CA**
- Speaker at RAD Conference, 2020, Beverly Hills, CA**
Video and voice biomarkers for mental health detection
LLM for mental health