Working at the forefront of GenAI in the Ads space

• Independently conceptualised, designed, and developed a not for profit iOS/Android app with 4000+ downloads.

• ImNotScared provides an easy and efficient way for users to initiate emergency assistance calls and contributing to feel safer in the streets.

• Optimised data preprocessing for computer vision pipelines by using GPU-accelerated techniques, resulting in a 26% decrease in average inference time and 20% memory usage.

• Developed end-to-end solutions to scale the performance of an API which deals with heavy input data and performs complex 3D object segmentation with deep-learning models.

• Designed and implemented end-to-end machine learning pipelines in the cloud, resulting in a 30% reduction in deployment time and improved scalability using Terraform and Docker containers in AWS/GCP Kubernetes clusters

• Contributed to the development of an LLM-powered chat application using LangChain and agent-based systems

• Developed highly efficient Python code for data preprocessing, feature engineering, and model training, leading to a 15% increase in model precision and a 25% improvement in overall system performance

• Collaborated with cross-functional teams to establish CI/CD workflows (Github Actions, Jenkins), conduct code reviews, and implement software engineering best practices