Junior AI Software Engineer

Sept 2024 - Present

Continuing to work along with the Global CIO and Founder/Director as we continue to Engineer Intelligent Systems for the company.

Working on: Developing interfaces or applications that leverage LLM capabilities, Customizing existing tools to meet specific functional requirements and Ensuring smooth integration of LLMs into products that serve particular user needs.

Skills: Python | LLM Tooling | Open Source Tooling | React | Flask | RESTful APIs | MongoDB

AI Trainee Engineer

Sept 2023 - Sept 2024

Collaborated closely with the Global CIO and Founder/Director of our company, primarily focusing on AI-driven initiatives, while also being mentored to enhance my skills and expertise in the field. My contributions span various aspects of project management, research and development, and stakeholder engagement.

Key Contributions: AI and Chatbot Development, Web Applications Development Management, Cybersecurity Audit, Production Setup & IIS Hosting.

Additional Experience: Engaged in strategic business planning, project structuring, and management; Gained experience in stakeholder engagement, including interactions with company founders for potential partnerships and tool integrations; Conducted extensive market research on cutting-edge tools, overseeing testing and pilot implementations.

Skills: Python | Artificial Intelligence (AI) | Machine Learning (ML) | Chatbot Development | Business Requirements | Strategic Planning | Project Planning | Project Management |Cybersecurity | Interpersonal Communication | Corporate Communications | Strategic Communications Cybersecurity Auditing | IT Security Operations | Microsoft Power BI | Microsoft Power Apps | Microsoft Power Automate

AI Intern

Mar 2023 - Jun 2023

Focused on improving AI observability, Monitoring ML models, Conducting RCA, Detecting Anomalies, and Optimizing Capacity Forecasting, leading to enhanced performance, reliability, and scalability of the deployed models.

Worked on: Developing and fine-tuning LLMs using LangChain, implementing a simple Q&A system over documents, optimizing its accuracy, and created an interface using Streamlit. This work enabled users to have interactive and informative conversations while effortlessly extracting valuable insights from large volumes of textual data.

Skills: Python | LangChain | Natural Language Processing (NLP) | Time Series Forecasting | Machine Learning Algorithms | Large Language Models (LLM) | Time series data | Datasets | NumPy | Scikit-Learn | Pandas | Elastic Stack (ELK) | Dynatrace | Whylab