Dhaha Sharif
@dhahasharif
AI/ML Engineer and Data Scientist driving innovation with GenAI solutions.
What I'm looking for
I am an AI/ML Engineer and Data Scientist with a strong track record of delivering scalable, real-world machine learning systems and cutting-edge GenAI solutions. My expertise lies in building end-to-end pipelines for NLP, computer vision, and recommendation engines across cloud environments. I am passionate about translating data into intelligence and mentoring teams to drive AI adoption at scale.
In my recent role as Lead Data Scientist and ML Engineer at Complya, I developed a travel recommendation engine using TensorFlow and LSTMs, and delivered GenAI-powered assistants. I integrated an NLP chatbot and BERT-based sentiment analysis, significantly improving engagement and reducing support response times. My experience also includes designing scalable, event-driven ML pipelines and deploying agentic LLM solutions using GPT-4 and AWS Lambda APIs.
With a Master's degree in Computer Science, I have honed my skills in various programming languages and frameworks, including Python, TensorFlow, and PyTorch. I am committed to continuous learning and applying innovative solutions to complex business problems, making me a valuable asset to any forward-thinking organization.
Experience
Work history, roles, and key accomplishments
Lead Data Scientist & ML Engineer
Complya
Mar 2022 - Present (3 years 4 months)
Built a travel recommendation engine using TensorFlow, LSTMs, and dynamic pricing models (XGBoost). Delivered GenAI-powered assistants and domain-specific LLM applications using transformer-based architectures.
Machine Learning Research Engineer II
Bahaji Consulting
Apr 2020 - Present (5 years 3 months)
Developed advanced NLP deep learning models improving customer satisfaction metrics. Built custom chatbots reducing human-agent workloads significantly.
Machine Learning Engineer
ESS
Jun 2016 - Present (9 years 1 month)
Led the design and deployment of collaborative filtering and deep learning recommendation systems for e-commerce platforms. Built scalable NLP pipelines for classification and sentiment analysis using scikit-learn, NLTK, and TensorFlow.
Education
Degrees, certifications, and relevant coursework
San Diego State University
Masters Degree, Computer Science
Completed a Masters Degree in Computer Science, focusing on advanced topics within the field. Gained expertise in various areas of computer science.
Availability
Location
Authorized to work in
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Skills
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