➡️Working as data scientist for Ancera Project team to detect and segment various microbes in microscopic images of chicken droppings (Salmonella, Coccidia, Clostridium, and Total Viable Bacteria). As a member of the team, I actively contribute to the overall project delivery. May day to day tasks include:• Continuously improving the deep learning pipeline for a robust solution• Addressing diverse scenarios and edge cases. • Employing clustering analysis to generate synthetic algorithm-assisted segmentation masks, streamlining manual annotation. • Utilizing masks as essential ground truth elements in training and test sets. • Calculating multiple statistics based on metadata derived from microbial segmentation.➡️Managing a group of data scientists and data engineers for active development on Machine Learning projects for a leading bank in Pakistan. Where I am actively developing several practical applications such as Cash Demand Forecasting, Cash Replenishment Scheduling for better cash management, reducing cash outs, idle cash, and cost associated with cash replenishment. The core responsibilities include:• Engaging in effective communication with clients and stakeholders to establish clear expectations.• Responsible for identifying relevant and reliable data for analysis, as well as identifying any existing gaps in the data.• Constructing the training and scoring pipeline using analysis ready data.• Ensuring a smooth integration of the finalized model into the application, enabling real-time forecasting capabilities.• Preparing project documents including features identification documentation, ML project documents etc.

Apart from teaching courses at the bachelor’s level, I have been involved in several departmental activities including: • Research chair of the departmental Artificial Intelligence research group. • Member of Departmental board of studies (DBS) and Faculty board of studies (FBS). • Designed the BSAI vision, mission, PEOs, PLOs, and CLOs in collaboration with HoD, and Dean. • Conducted NAVTCC Kamyab Jawan program as an instructor for Artificial intelligence course. • Supervised several research based and industrial FYPs. • Participated in recruitment board as subject specialist for faculty hiring. • Member of the departmental grievance committee. • Focal Person of student counselling committee.

Worked as a Consultant lead data scientist with Accentedge to lead the Artificial Intelligence, Machine Learning, and Deep Learning-based work. The core responsibilities while working at Accentedge include: • Leading the R&D team for the development of deep neural network-based models for disease classification using bio-marker images. • Working in collaboration with Columbia university medical research center for state-of-the-art research work under the supervision of one of the most well-known research scientists(oncologist) Dr. Azra Raza.• Daily collaboration with the research team for discussing and tracking day-to-day activities.