Companies I've worked in

Potentiam Ltd

Junior AI Software Engineer

Sept 2024 - Present

Working with the Global CIO and Founder/Director to design and engineer intelligent systems tailored to business needs. Building and optimizing interfaces and applications that leverage LLM capabilities for different departments of a company, customizing tools to meet operational requirements by also seamlessly integrating LLMs and in-house AI architectures into products to ensure functionality, scalability, and secure deployment.

Projects worked on: Enterprise Private GPT, AI Search, Intelligence Framework

Python

GPT Implementation

AI Search

AI Architecture

LLM & Open Source Tooling

Linux

DevOps

MLOps

Production Deployment

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: Chatbot Development, Web Applications development and 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.

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

Wipro Ltd

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.

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