Software Developer Machine Learning

Tahir Mahmood

Jefferson City, MO LinkedIn *****.********@*****.*** 918-***-****

SUMMARY

• Software Developer with 4+ years of strong analytical and innovative skills in various development and enhancement roles

• Proficient in Python, Java, SQL, TensorFlow and Keras tools to develop end-to-end ML applications

• Strong aptitude in AI research, service-based architectures and ability to multitask in collaborative environments

• Developed AI based disease detection to provide preliminary diagnosis of COVID-19 to stop the spread of pandemic TECHNICAL SKILLS

• Languages: Python, Java, SQL, C

• Tools: TensorFlow, Keras, Scikit-learn, OpenCV, Matplotlib, Numpy, Airflow, Confluence, AWS, Docker, Github

• Others: Rest APIs, Data Analysis, Reporting, Data Modeling, Data Pre-processing PROJECTS

Effects of Preprocessing Techniques on Cough Based Machine Learning Diagnosis January 2020 – May 2021 University of Oklahoma, Tulsa, OK

• A successful proposed automated solution for diagnosing diseases, including COVID-19, uses cough audio samples.

• To improve performance, pre-processing techniques in time and frequency domain were applied. Audio samples were taken with two seconds length, and feature engineering was done using audio-based features.

• PCA was applied for directionality reduction. Classifiers included LR, Gradient Boosting, SVM, RF, and KNN. Data Generation in Log Files for CSP Inference Engine via SOAP UI September 2019 – October 2019 Mentor Graphics, Lahore, Pakistan

• The project aimed to develop an AI-based inference engine to predict crashes in Cloud Service Platforms (CSP) OS.

• The engine uses telemetry logs to predict crashes, allowing for deployment of dependencies and preventing issues for customers. The inference engine uses SOAP UI to generate log files, replicating errors in the given environment.

• The engine's performance is ensured by generating different quality and quantity of telemetry log files to ensure optimal pattern recognition.

PROFESSIONAL EXPERIENCE

Software Developer February 2022 – Today

Employment Security Office (TATA Consultancy Services), Jefferson City, MO

• Successfully enhanced web application that provided SMS alerts to claimants’ cases making overall process faster and attract potential contracts.

• Excelled at fixed bugs in web application to reduce the customers' concerns to extend several million-dollar contracts. Nielsen (TATA Consultancy Services), Oldsmar, FL

• Enhanced backend services for the web application that reduced the time of data processing by 75%.

• Thrivingly developed quality checks to validate production environment automating the process at least 100x faster.

• Participated in repository reforms to avoid missing viewership that made of digital campaigns around 4x cost effective. Graduate Research Assistant January 2020 – August 2020 University of Oklahoma, Tulsa, OK

• Incorporated pre-processing techniques on cough diagnosis ML code to increase performance of classifiers ~10%.

• Established literature survey on AI methods for ailment diagnosis that got recognition from 18 cutting edge projects.

• Successful contribution in app development for automated detection of COVID-19 via cough audio to save many lives.

• Innovated pre-processing techniques that increased the performance of existing COVID-19 app around 10%~20% Software Development Engineer January 2019 – December 2019 Mentor Graphics, Lahore, Pakistan

• Successfully generated data as telemetry logs to detect anomalies via ML inference engine that predicted the crashing of Cloud applications beforehand saving several users from inconvenience.

• Established API invoicing via reporting and analysis tool (Jasper Reports) to bill users with a java backend.

• Accomplished remodeling back-end java API manager using Design patterns making it scalable for large user requests. Research Intern September 2018 – December 2018

Al-Khwarizmi Institute of Computer Science, Lahore, Pakistan

• Successfully implemented automated forgery detection in signatures to provide better automated security transactions.

• Accomplished deep learning-based text summarization via unified (extractive and abstractive) model for automated document rephrasing applications.

EDUCATION

Master of Science in Electrical & Computer Engineering Graduated May 2021 University of Oklahoma (OU), Norman, OK

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