Ameer Farooq
@ameerfarooq
Senior Machine Learning Engineer with expertise in AI and automation.
What I'm looking for
I am a Senior Machine Learning Engineer with a strong background in developing and deploying advanced machine learning models and AI systems. My experience spans across various industries, where I have successfully led projects that leverage cutting-edge technologies to enhance operational efficiency and drive innovation.
At NETSOL Technologies, I spearheaded the development of an AI underwriting system that significantly improved document retrieval accuracy and reduced processing times. My work involved architecting scalable solutions using AWS infrastructure and implementing advanced NLP techniques to create intelligent chatbots and recommendation systems. I take pride in my ability to lead teams and deliver projects ahead of schedule while ensuring high-quality outcomes.
Previously, at Accenture, I engineered machine learning models that drastically reduced default rates in asset financing applications and developed a personalized recommendation engine that enhanced user engagement. My technical expertise, combined with a passion for continuous learning and improvement, drives my commitment to delivering impactful solutions in the field of machine learning.
Experience
Work history, roles, and key accomplishments
Sr. Machine Learning Engineer
NETSOL TECHNOLOGIES INC.
Jan 2022 - Present (3 years 6 months)
Built interactive agentic workflows using pydantic, Langgraph, and llama index, developing backend services in FastAPI with RESTful APIs and robust database integrations. Developed, deployed, and optimized robust ML models primarily on AWS infrastructure including SageMaker, EC2, and S3.
Machine Learning Engineer
ACCENTURE
Jan 2019 - Jan 2022 (3 years)
Engineered machine learning models that reduced default rates among asset financing applications by 70%, enhancing loan approval accuracy. Designed an alternative credit scoring model utilizing sociometric analysis and integrated credit bureau APIs, accurately identifying creditworthy applicants lacking traditional financial statements.
Software Engineer
IBM
Jan 2018 - Jan 2019 (1 year)
Maintained Python-based machine learning models to support internal analytics tools and client solutions focusing on performance and scalability. Collaborated in a cross-functional agile team to build data pipelines using Pandas, NumPy, and Scikit-learn, optimizing model training workflows.
Education
Degrees, certifications, and relevant coursework
National University of Science and Technology
Bachelor of Science, Computer Science
Studied Computer Science at the National University of Science and Technology. Completed a comprehensive curriculum in computer science principles and applications.
Availability
Location
Authorized to work in
Job categories
Skills
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