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Work Experience
Senior Software Engineer
Arbisoft•  December 2023 - Present
Led the development of an insurance application on AWS using Python, Vue.js, and Django Rest Framework microservices, integrating robust data processing capabilities. Implemented Redis caching and MySQL optimizations, reducing application load times by 30% and enhancing data retrieval efficiency. Designed and built libraries and SDKs for microservices-based RESTful architecture, deployed with Kubernetes and Docker for scalable data processing capabilities. Proficient in Python, developing complex technologies and microservices from concept to release, focusing on efficient data handling and processing pipelines. Championed CI/CD practices with Jenkins and GitLab CI/CD, automating pipelines to streamline data processing and achieve a 50% reduction in deployment times. Collaborated across teams to integrate third-party services, enriching user experience through seamless data integration and processing. Organized Django architecture to optimize data management, improving maintainability and reducing technical debt while enhancing data security. Contributed to cross-functional design teams, enhancing data security with rigorous authentication protocols and continuous data audits. Engaged with Product Management to drive data-driven requirements, leveraging advancements in AWS, Kubernetes, Docker, Python, and Django for scalable data processing solutions. Demonstrated agility and interpersonal skills in delivering high-quality, scalable, and secure software solutions with a strong emphasis on efficient data processing capabilities.
Software Engineer
StrikeReady•  June 2021 - December 2023
Led the development of a cybersecurity web application, integrating various appliances and managing migration processes. Utilized Python, Django, Flask, Ruby on Rails, RabbitMQ, and PL/SQL for efficient development. Developed custom libraries and SDKs, enabling seamless integration of RESTful APIs and microservices using Flask and SQLAlchemy. Integrated cybersecurity appliances such as Fortinet FortiGate, SonicWall, Checkpoint, FireEye, and Exchange Server. Proficient in Python, demonstrated through the development and optimization of complex product technologies and initiatives from concept through release. Championed CI/CD practices by containerizing applications with Kubernetes and optimizing deployment pipelines, enhancing system performance and scalability. Spearheaded the deployment of applications on Google Cloud, leveraging Google Kubernetes Engine (GKE), Google Cloud Storage, and Google Cloud SQL to ensure robust, scalable, and efficient cloud solutions. Excellence in written and verbal communications, conducting penetration testing and vulnerability assessments, and collaborating with cross-functional teams to mitigate security risks. Promoted collaboration by working closely with frontend developers, data engineers, and product managers to seamlessly integrate backend functionality and drive detailed product requirements. Participated on cross-functional design teams, developing expertise in other modules and systems. Improved architecture through data transformation to Common Information Models (CIM) and optimized databases and backend applications. Engaged with Product Management to ensure product requirements were met and fostered a culture of continuous improvement within the team. Demonstrated excellent organizational agility and interpersonal skills, effectively collaborating with diverse teams to deliver high-quality, scalable, and secure software solutions.
Python Developer
Programmers Force•  February 2021 - May 2021
Proficient in using python libraries and pandas to preprocess and prepare data for machine learning pipelines, ensuring data quality and suitability. Skilled in handling missing values, data normalization, and feature scaling. Executed model retraining strategies using pandas to enhance accuracy, demonstrating a commitment to continuous improvement in machine learning models. Applied text preprocessing techniques using pandas, regular expressions, and Python to prepare text data for machine learning projects, including tokenization, stemming, and lemmatization. Specialized in augmenting various types of document images using pandas, showcasing a versatile skill set in handling diverse data sources. Integrated Natural Language Processing (NLP) techniques with pandas to enhance text processing capabilities and extract meaningful insights from unstructured data, including text classification, sentiment analysis, and topic modeling.
Software Engineer
Softech Systems•  October 2018 - January 2021
Developed and maintained Python applications for a user base exceeding 100k, focusing on scalability, performance optimization, and efficient resource utilization. Designed and implemented custom Python scripts for the financial sector, specializing in data analysis and reporting for Stock Exchange Brokers. Led Python-based data engineering projects for Pakistan Stock Exchange Brokers, developing ETL processes, data pipelines, and automation scripts using libraries like Pandas, NumPy, and SQLAlchemy. Executed live deployments and provided ongoing support for Python-based applications, ensuring seamless integration with existing systems and enhancing user satisfaction. Collaborated with senior developers to manage and optimize complex data processing tasks, handle real-time data feeds, and maintain robust data pipelines using Python. Contributed to Falcon Enterprise workflow development and testing, utilizing Python for workflow automation, process optimization, and ensuring high-quality software delivery.
Education
Punjab University College of Information and Technology
BS in Information Technology•  October 2014 - August 2018•  CGPA: 3.12