Led end-to-end optimization of a medical image segmentation model, reducing inference runtime by 75% without sacrificing accuracy; designed and implemented end-to-end post-processing pipelines for synthetic PET scans generated via GANs and diffusion models, achieving improvements in SSIM by 5% and SUVR accuracy by 12%; trained DDPM in latent and frequency space (DWT) to optimize for limited resources and improved performance; performed statistical analysis on metrics proving clinical viability; led initiatives to visualize AI interpretability through signal mapping from MRI to PET space to facilitate clinician trust.

Generative AI Engineer at House of Inspiration

January 1, 2025 - January 1, 2025

Applied advanced ML techniques, including large language models (LLMs) and generative AI, to develop predictive models for customer behavior analysis and product recommendations, resulting in a 20% increase in sales; designed and implemented NLP algorithms to extract insights from unstructured text data; utilized SQL for data querying, manipulation, and analysis, leading to improved data-driven strategies.

AI/ML Engineer Intern at SPG America

June 1, 2024 - June 1, 2024

Developed internal tools using OCR, NER, and Prompt Engineering, reducing manual labour by 73% and time consumption by 65%; fine-tuned various open-source LLMs and developed ETL pipelines with Azure; led development of a real-time speed and number plate detection system using YOLOv8, integrated with an SMS alert system for traffic law enforcement; built a Python-based tool for automating data annotation tasks, increasing efficiency by 30% and reducing errors.

Project Developer at Freelancer

August 1, 2021 - August 1, 2021

Developed and optimized live video streaming pipelines, improving performance by 25%; initiated and developed a multi-patient ventilator valve during the COVID pandemic, aiding ventilator shortage; applied advanced algorithms to enhance web-based interfaces and develop innovative solutions; built appointment scheduling website, streamlining service provider operations, and enhancing customer experience.

Data Scientist, Product Manager at WEOrg

July 1, 2019 - July 1, 2019

Led Google Cloud-based patient monitoring, resulting in a 40% faster response rate and emergency alerts; conducted analytics using machine learning and advanced statistics to support patient journey analysis and healthcare ecosystem interactions; collaborated with non-technical stakeholders to deliver actionable insights & reports for business decision-making processes; managed projects from initiation to completion, ensuring ethics & compliance guidelines were consistently met.