Research Intern (AI / ML)

City, University of London is at the forefront of artificial intelligence research through its CitAI (City St George’s, University of London Artificial Intelligence Research Centre), which serves as the university’s AI Hub for interdisciplinary studies. Additionally, the university boasts the Robin Milner Lab, named after the AI pioneer and Turing Award winner, which facilitates high-performance research in AI.

• Integrated clinical and phylogenetic data to enhance machine learning models for predicting survival in lung cancer patients.
• Applied 5 different AI/ML model techniques to improve patient’s survival.
• Collaborated with a multidisciplinary team including Dr. Robert Noble (Oxford University), Dr. Tillman Weyde (City, University of London),combining expertise in Mathematics and Computer Science to interpret results and refine models based on domain knowledge.
• Presented findings at weekly research meetings and subsequently submitted results.

Artificial Intelligence (AI) Engineer

Webomates, headquartered in Stamford,US, is a leader in AI-driven software regression testing. Their patented platform leverages AI for test case generation, execution, and maintenance, providing quality assurance and efficiency in software testing.

• Worked on AI Defect Predictor tool, which has led to an 11x increase in release speed, a 73% reduction in production defects, and a 50% reduction in costs
• Extensively deployed and monitored Machine Learning models on AWS Elastic Compute Cloud service (EC2)
• Researched and implemented AWS SQS queues for all API applications, replacing Flask requests, and successfully redeployed all services in production, thereby convincing the team on benefits.
• Developed a model to detect feature changes in web pages using HTML, logs, and images.
• Implemented XGBoost for HTML data, CNN for image data, and combined these outputs with a Random Forest model for feature detection.
• Created a Flask application from scratch that generates and improves test cases for TestOps using the GPT-4
• Deployed multiple NLP and computer vision models, which are currently operational in production.
• Authored and published blogs on Artificial Intelligence for the company's official website.
• Primarily worked with Python, OpenAI API, Flask, AWS, SQL, Jenkins, Kibana and Bitbucket
• Regularly researched and implemented new techniques for ongoing improvement.

Artificial Intelligence (AI) Intern

Webomates, a global SaaS provider specialising in AI-driven software regression testing, has made significant strides in the industry with their patented technology.

• Focused on automating manual software testing tasks using AI.
• Primarily engaged in building APIs, data collection, and exploratory data analysis (EDA).
• Gained experience with Amazon Web Services (AWS), including AWS Lambda, ECS, and CloudWatch.
• Developed multiple Python scripts to automatically generate Excel reports utilising AWS Lambda.

Machine Learning Engineer Intern

ResoluteAI is a distinguished AI talent academy that collaborates with enterprises to develop and implement AI capabilities, platforms, and solutions. Their mission is to enhance productivity and profitability through the application of machine vision, data analytics, Natural Language Processing (NLP), and Internet of Things (IoT) technologies.

• Developed a U-NET Neural Network architecture to detect defects in fabric videos.
• Responsibilities included converting videos to frames, augmenting, annotating, masking images, and training and testing the model with visualisations.
• Organised a webinar, instructed, and led a team of interns in image annotation tasks.
• Focused on extracting regions of interest (ROI), drawing contours around objects in images, and labelling them, utilising Canny algorithm for edge detection.

Master of Science in Artificial Intelligence (MSc AI)

Grade: Merit (68.5)

Bachelor of Science in Information Technology (BSc IT)

Grade: 8.5 CGPA