Salar Ahmad Email & Phone Number

Lahore, PK

• Engineered and deployed LLM, Falcon, for care plan generation, leveraging clinical notes, resulting in time reduction for care managers. NLP, LLM, LangChain, Huggingface, Streamlit, Flask.
• Developed and executed Machine Learning solutions for the US healthcare industry, managing data from over 400 hospitals and achieved an impressive average prediction accuracy of 85% using algorithms such as Decision.
• Optimized clinical notes processing services, reducing processing time by 40% and improving overall efficiency.
• Analyzed a dataset of over 10 million health claim records, extracting actionable insights for data-driven decision-making and delivered cost reduction solutions to insurance companies, resulting in annual savings of.
• Leveraged a range of technologies, including Databricks, Machine Learning, Keras, Scikit-learn, Excel, PySpark, and Data Analysis

Lahore, Punjab, Pakistan

• 𝗥𝗲𝘁𝗮𝗶𝗹 𝗔𝗿𝗯𝗶𝘁𝗿𝗮𝗴𝗲 𝘂𝘀𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲
• Integrated a retail arbitrage system by scraping real-time data from 6 major retailers every 7 minutes.
• Orchestrated the integration of MongoDB for seamless data storage of the product catalog, facilitating rapid identification of price fluctuations and empowering the team to optimize pricing strategies, resulting in a.
• Adopted a robust 'Name Matching Algorithm" utilizing BERT and feature matching techniques to enable informed buying and selling decisions across platforms; reduced product misidentification by 45% and increased.
• Implemented a project to detect key points in 3-dimensional space using the Res-Net model in Python.
• Detected 8 key points for each of the 6 vertebrae, encompassing Lumbar section vertebrae and Sacrum, facilitating sequential alignment of the vertebrae.

Lahore, Punjab, Pakistan

• 𝗦𝗽𝗶𝗻𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗨𝗡𝗲𝘁)
• Developed a product to reduce surgery time by segmentation of spine using Python, Deep Learning, and TensorFlow using the UNet model to process CT-scans, performing localization, cropping, and segmentation of the.
• The dataset included 400 sacrum segmented CT scans and 350 segmented vertebrae CT scans.
• Attained outstanding performance with a dice coefficient of 0.95, ensuring precise segmentation.
• Led the implementation of a cutting-edge 3D modeling system, revolutionizing the surgical planning process; facilitated precise visualization of segmented vertebrae, leading to a 40% increase in surgical accuracy and.

Lahore, Punjab, Pakistan

Learned the implementation of several Machine Learning and Deep Learning algorithms in a fast pacedorganizational environment.

Islamabad Gpo, Federal Capial &AJK, Pakistan

• Collaborated with business school professors on a data analysis project focusing on investors' portfolio data.
• Engineered a Python script to process and analyze 1M+ rows of customer data, surpassing Excel's limitations and reducing data processing time by 70%.
• Developed and integrated a data-driven approach to investment portfolio analysis, leveraging programming and statistical modeling to optimize asset allocation and generate a 20% increase in portfolio performance.

Master'S Degree, Computer Science

Activities and Societies: Member of PhotoLUMS

Bachelor'S Degree, Computer Science