Ali Hamza

Artificial Intelligence Engineer @ Fraunhofer IAIS

About

I am a Machine Learning Engineer at i2c Inc., a leading provider of digital banking and payment solutions. I lead a team in designing and developing an intelligent chatbot that leverages OpenAI GPT models and microservices for scalability and performance. Our chatbot revolutionizes client interactions, boosts customer satisfaction, and drives company growth by providing quick and effective query resolution, documentation issues, and API support. I also have extensive experience in developing scalable REST APIs using Spring Boot, utilizing distributed databases (Cassandra and MongoDB) to store and handle large-scale financial datasets, and designing and implementing Feature Store solutions for streamlined development and collaboration. I am proficient in various technologies and frameworks, such as OpenAI, Airflow, Django REST Framework, PostgreSQL, SQL, Apache Kafka, Kubernetes, Apache Spark, Big Data, Python, Java, MongoDB, and Docker. I am passionate about applying machine learning and natural language processing techniques to create innovative and impactful solutions for real-world problems. I am currently pursuing my Master's degree in Computer Science at Frankfurt University of Applied Sciences, where I am learning advanced concepts and skills in AI, data science, and software engineering. I am committed to excellence, teamwork, and continuous learning.

Country

Germany

City

Berlin Metropolitan Area

Industry

Computer Software

Skill

AI Engineer, Data Science, Data Engineering, Data Intelligence, Python (Programming Language), Hadoop, Deep Learning, Data Analysis, Software Engineers, Problem Solving, Natural Language Processing (NLP), Natural Language Generation, Natural Language, Statistical Modeling, Cluster Analysis, Distributed Systems, Version Control, Data Structures, Large Language Models (LLM), Generative AI

Experience

Artificial Intelligence Engineer

Fraunhofer IAIS

2024-5 - Present · 2 yrs 5 mos

Germany

Machine Learning Engineer

i2c Inc.

2021-4 - 2024-4 · 3 yrs 1 mo

Lahore, Punjab, Pakistan

- Led team in designing & developing an intelligent chatbot for client queries, documentation issues, and API support. Leveraged OpenAI GPT models & microservices for scalability. Reduced response times, boosted customer satisfaction, and revolutionized client interactions, driving company growth. - Developed scalable REST API using Spring Boot for an intelligent chatbot, enabling seamless communication, quick query resolution, and API support. - Utilized distributed databases (Cassandra and MongoDB) to store large-scale banking transactions, serving as valuable training data for data science projects. Ensured optimal performance and efficient handling of vast financial datasets. - Designed and implemented a Feature Store solution to efficiently document and reuse features across projects. Created a user-friendly interface for simplified feature discovery, access, and search, streamlining development processes and enhancing team collaboration. - Developed an advanced chatbot using cutting-edge Natural Language Processing techniques for seamless customer-bank communication and personalized banking services. Implemented scalable machine learning pipeline for efficient training, testing, and deployment of multiple models. - Key role in developing a specialized Fraud Engine for banks, leveraging machine learning to analyze 40+ million transactions. Successfully mitigated fraudulent activities, improving security measures for financial institutions.

Associate Machine Learning Engineer

i2c Inc.

2020-7 - 2021-3 · 9 mos

Software Engineer

Prairie Grain Analyzers

2019-8 - 2020-6 · 11 mos

Canada

Highly accomplished Software Engineer with expertise in developing IoT solutions and backend systems. Skilled in Node, MongoDB, MQTT, React, AWS, and Docker. Demonstrated success in delivering efficient and reliable software solutions for the Bin Sensor Project at Venture Dive. Proven ability to communicate with IoT devices, fetch temperature data, and design a robust backend system. Committed to excellence, teamwork, and continuous learning. - Developed a service that effectively communicates with IoT devices to retrieve temperature data from a variety of bin sensors. - Designed and implemented a scalable backend system for the Bin Sensor Project, enabling real-time monitoring and recording of temperature readings. - Utilized Node.js and MQTT protocol to establish secure and efficient communication between the sensors and the backend server. - Leveraged MongoDB to store and manage temperature data, ensuring data integrity and high availability. - Containerized the application using Docker, streamlining the deployment process and ensuring consistency across different environments. - Implemented robust error handling and logging mechanisms to facilitate debugging and troubleshooting. - Worked closely with stakeholders to understand requirements, provide technical insights, and deliver solutions that met project objectives. - Actively participated in code reviews, unit testing, and continuous integration processes to maintain code quality and reliability.