I am a seasoned ML engineer with a strong track record of designing, building, and deploying production-grade AI and ML solutions. I specialize in Generative AI and large language models, delivering end-to-end systems that drive meaningful business value. I enjoy leading cross-functional teams, driving AI adoption across organizations, and mentoring engineers and data scientists to raise the bar on ML craftsmanship. I excel at aligning ML solutions with strategic goals, embedding ML features into SaaS and enterprise workflows, and continuously improving model performance through monitoring and retraining. I’m passionate about exploring cutting-edge research and turning it into practical, scalable solutions that empower product and business teams.

Mohamad Mazhaar

I am a seasoned ML engineer with a strong track record of designing, building, and deploying production-grade AI and ML solutions. I specialize in Generative AI and large language models, delivering end-to-end systems that drive meaningful business value. I enjoy leading cross-functional teams, driving AI adoption across organizations, and mentoring engineers and data scientists to raise the bar on ML craftsmanship. I excel at aligning ML solutions with strategic goals, embedding ML features into SaaS and enterprise workflows, and continuously improving model performance through monitoring and retraining. I’m passionate about exploring cutting-edge research and turning it into practical, scalable solutions that empower product and business teams.

Available to hire

I am a seasoned ML engineer with a strong track record of designing, building, and deploying production-grade AI and ML solutions. I specialize in Generative AI and large language models, delivering end-to-end systems that drive meaningful business value. I enjoy leading cross-functional teams, driving AI adoption across organizations, and mentoring engineers and data scientists to raise the bar on ML craftsmanship.

I excel at aligning ML solutions with strategic goals, embedding ML features into SaaS and enterprise workflows, and continuously improving model performance through monitoring and retraining. I’m passionate about exploring cutting-edge research and turning it into practical, scalable solutions that empower product and business teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Lead Machine Learning Engineer at Scale AI
May 1, 2023 - Present
Led end-to-end development of production-grade GenAI systems, including building robust ML/AI pipelines, CI/CD integration, model registry, monitoring, and experimentation. Partnered with product and engineering to embed generative models into SaaS and enterprise workflows, enabling real-time insights and automation across industries. Researched and implemented cutting-edge techniques in instruction-tuning, embedding-based NLP, and retrieval-augmented generation (RAG). Optimized large-scale distributed training and inference across GPU/TPU clusters to ensure performance and cost efficiency. Mentored engineers and data scientists on GenAI best practices, improving team-wide expertise and accelerating delivery. Advised leadership on AI product strategy and ensured solutions aligned with organizational goals.
Lead Machine Learning Engineer at Generative AI Leader
May 1, 2023 - Present
Led a team of engineers to develop enterprise-grade generative AI solutions with a focus on LLM-based text generation, summarization, semantic search, and knowledge retrieval. Designed and deployed fine-tuned LLMs, integrated ML workflows into enterprise SaaS, and mentored engineers and data scientists while aligning ML strategy with business goals.
Senior Machine Learning Engineer at Tech Wise
October 1, 2019 - April 30, 2023
Designed and deployed ML models for document understanding, NLP, and predictive analytics; developed ETL pipelines; monitored model performance; collaborated with product and engineering teams to deliver ML-powered features.
Senior Machine Learning Engineer at Tech Wise
March 1, 2017 - September 1, 2019
Designed and deployed ML models for document understanding, legal analytics, and NLP-driven contract analysis; built end-to-end ML pipelines, from data preprocessing to model evaluation and deployment. Collaborated with product and engineering teams to embed ML capabilities into enterprise workflows, enabling scalable automation and insights. Implemented robust evaluation, monitoring, and maintenance practices; led model retraining and drift detection; and mentored junior engineers and data scientists.
Machine Learning Engineer
March 1, 2017 - September 30, 2019
Conducted transformer-based NLP research; explored embedding-based approaches; integrated ML capabilities into enterprise platforms; optimized training and inference for efficiency.
Data Scientist / Machine Learning Associate at Tech Solutions Inc.
November 1, 2015 - February 1, 2017
Conducted applied research on transformer architectures and embedding-based NLP methods. Integrated ML-driven capabilities into enterprise platforms to improve personalization and automation. Optimized training and inference processes for better performance and compute efficiency. Collaborated with product managers and engineers to deliver ML-based features aligned with user needs.
Data Scientist | Machine Learning Associate at Enigma Technologies
November 1, 2015 - February 1, 2017
Built predictive models for fraud detection, churn analysis, and customer insights. Developed data pipelines for data preprocessing, feature extraction, and exploratory analysis, and integrated ML insights into dashboards for business users. Collaborated with product, BI, and engineering teams to scale ML capabilities across production systems; implemented monitoring and experimentation to improve model performance.
Data Scientist at Tech Solutions Inc.
November 1, 2015 - February 28, 2017
Built predictive models for fraud detection, churn analysis, and recommendation systems; developed pipelines for data preprocessing, feature extraction, and exploratory analysis.

Education

Bachelor's degree in Computer Science at University of Engineering and Technology
January 11, 2030 - July 1, 2026
Bachelor's Degree in Computer Science at University of Engineering and Technology
January 11, 2030 - July 1, 2026
Bachelor's degree in Computer Science at University of Engineering and Technology
January 11, 2030 - July 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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