Mohammad Yousuf
AI / Machine Learning Software engineer
Summary
Results-driven AI/ML Engineer with a strong academic background in Computer Science from LUMS. Demonstrated expertise in developing Proofs of Concept (PoCs), conducting competitive analysis, and providing guidance to engineering teams on complex technical issues. Proficient in Python, Node.js, C++, and cloud platforms like AWS and Microsoft Azure. Committed to leveraging technology to address challenging business problems and drive innovation.
Overview
3
3
Years Of International Experience
4
4
Certifications
10
10
+ Global clients
Work History
Machine Learning Software Engineer
Confiz
07.2022 - Current
- Performed analysis using time-series forecasting models for a Forbes 10 company, achieving projections for cross-functional teams
- Developed a Langchain-based summarization pipeline that increased key information extraction efficiency by 20% from customer support tickets, enabling faster response times
- Spearheaded the end-to-end development of a corporate chatbots from initial concept to deployment using Large Language Models (LLMs) and Azure AI Search, improving performance by 30%
- Conducted in-depth research on machine learning algorithms for outlier detection, leading to the creation of comprehensive documentation and implementation guides
- Participated in code reviews, ensuring adherence to industry standards and promoting best practices within the team environment.
- Enhanced test coverage of ML pipeline by 15% and CI/CD processes using Jenkins while ensuring reliability
- Facilitated cross-departmental communication to gather requirements and align project objectives using Agile methods like Scrum and Kanban.
Associate Data Scientist
Smartlane
03.2022 - 07.2022
- Successfully implemented BI dashboards to provide real-time insights into organization’s financial performance
- Improved data processing pipelines by 10%, enhancing data accuracy and decision-making capabilities.
- Conducted exploratory data analysis, identifying patterns and relationships within datasets.
- Presented findings from analyses to executive leadership, influencing strategic decisions based on data insights.
Data Science Intern QBatch
06.2021
- Developed deep learning models for complex data classifications, achieving significant improvements in data quality and insight reliability
- Implemented advanced data preprocessing and model parameter tuning to optimize the performance of machine learning algorithms
- Other:
- Competitive analysis, PoC development, cross-functional team collaboration, performance optimization, service oriented
- Poised under pressure
- Quality assurance,Solid written & verbal communicator
Education
Bachelor of Science - Computer Science
06.2022
- Recipient of 3rd position in Annual Robotics competition, 2018
Skills
- Python
- Nodejs
- Analytical Skills
- Complex Problem-Solving
- Adaptability and Flexibility
- Data-driven decision-making
- Agile Methodologies
- TensorFlow
- PyTorch
- React JS
- Flask
- Scikit-learn
- CI/CD: Jenkins, Docker
- Apache Airflow
- MS-SQL
- AWS Lambda
- Scikit-Learn
- Databricks
- Google BigQuery (GBQ)
- Git Version Control
- NoSQL Databases: DynamoDB
Certification
- Certified Tensorflow Developer
- Professional Resilience
- The Art of Negotiation
- Certified Generative AI Developer
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Languages
English
Bilingual or Proficient (C2)
Software
Power BI
Databricks
Google Analytics
Timeline
Machine Learning Software Engineer - Confiz
07.2022 - Current
Associate Data Scientist - Smartlane
03.2022 - 07.2022
Data Science Intern
QBatch -
06.2021
Lahore University of Management Sciences (LUMS) - Bachelor of Science, Computer Science
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