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I'm a results-driven Full Stack Python Developer with a passion for building scalable, cloud-native applications. I specialize in Django and Flask backends, React front-ends, and data-driven features, and I enjoy turning complex requirements into robust APIs and clean UX. I love collaborating across teams, deploying services on AWS, containerizing with Docker, and integrating ML/NLP workflows to improve automation and decision support, while keeping security and cost in mind.…I'm a results-driven Full Stack Python Developer with a passion for building scalable, cloud-native applications. I specialize in Django and Flask backends, React front-ends, and data-driven features, and I enjoy turning complex requirements into robust APIs and clean UX. I love collaborating across teams, deploying services on AWS, containerizing with Docker, and integrating ML/NLP workflows to improve automation and decision support, while keeping security and cost in mind.

Nayab Iftikhar

AI Engineer, Full Stack Developer, Developer, +5

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I'm a results-driven Full Stack Python Developer with a passion for building scalable, cloud-native applications. I specialize in Django and Flask backends, React front-ends, and data-driven features, and I enjoy turning complex requirements into robust APIs and clean UX. I love collaborating across teams, deploying services on AWS, containerizing with Docker, and integrating ML/NLP workflows to improve automation and decision support, while keeping security and cost in mind.…I'm a results-driven Full Stack Python Developer with a passion for building scalable, cloud-native applications. I specialize in Django and Flask backends, React front-ends, and data-driven features, and I enjoy turning complex requirements into robust APIs and clean UX. I love collaborating across teams, deploying services on AWS, containerizing with Docker, and integrating ML/NLP workflows to improve automation and decision support, while keeping security and cost in mind.

Available to hire

I’m a results-driven Full Stack Python Developer with a passion for building scalable, cloud-native applications. I specialize in Django and Flask backends, React front-ends, and data-driven features, and I enjoy turning complex requirements into robust APIs and clean UX. I love collaborating across teams, deploying services on AWS, containerizing with Docker, and integrating ML/NLP workflows to improve automation and decision support, while keeping security and cost in mind.

Skills

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Intermediate

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Work Experience

Senior Python/Django Developer at TheCodeGenix

August 1, 2022 - November 18, 2025

Led backend development focused on Python, Django and Flask. Migrated legacy systems to a modern tech stack, delivering a ~40% performance improvement and ~30% reduction in maintenance costs. Maintained AWS EC2 servers and cloud deployments, designed a microservices architecture using Python and Node.js, and implemented CI/CD pipelines with Docker, Git and Elastic Beanstalk. Integrated third-party APIs and ML/NLP features to enable real-time analytics and automated workflows such as medical claim processing.

Full Stack Software Engineer at TheCodeGenix

August 1, 2022 - Present

Leveraged Python with Django and Flask to engineer and optimize scalable solutions, resulting in significant performance improvements by addressing resource-intensive challenges. Optimized back-end infrastructure with Python times and improved system efficiency. Enhanced database design using Python for 50% faster queries and increased data reliability, working with SQL and NoSQL databases such as PostgreSQL and MongoDB. Collaborated seamlessly with cross-functional teams, applying effective communication and project management skills for the successful delivery of Python-based web applications. Utilized a wide range of technologies including AWS, Docker, Git/GitHub for code version control, and Test-Driven Development. Integrated ML models with cloud-based analytics, enabling real-time insights. Led the Medical Claim Automation project by integrating NLP and deep learning techniques to enhance efficiency and reduce claim rejection rates.

Lead Machine Learning Engineer at TheCodeGenix

August 1, 2022 - Present

Developed and deployed image recognition deep learning models, achieving a 25% accuracy boost and enhancing product recommendations that increased customer engagement by 15%. Led a team implementing a real-time anomaly detection system, reducing false positives by 30%. Optimized AWS ML pipelines to cut data processing time by 40% and improve efficiency. Implemented predictive maintenance algorithms reducing unplanned downtime by 20%, contributed to NLP system development raising customer satisfaction scores by 15%.

Senior Python/Django Developer at Sphere Software Labs

July 31, 2022 - September 5, 2025

Migrated legacy systems to a modern tech stack using Python with Django and Flask, resulting in a 40% performance improvement and 30% reduced maintenance costs. Maintained AWS EC2 servers, ensuring seamless cloud deployment. Led development of microservices architecture with Python and Node.js, enabling efficient service management and rapid feature development. Managed all deployment environments with a strong focus on continuous integration and continuous deployment Elastic Beanstalk. Integrated third-party APIs with Python application functionality and seamless data exchange. Optimized an integrated system combining GPT, LLMs, LangChain, and Pinecone with a serverless AWS Lambda framework, aligning the system's performance with enterprise-grade standards and focusing on cost-effectiveness. Contributed to NLP system development, resulting in a 15% increase in customer satisfaction scores.

Senior Machine Learning Engineer at Sphere software Labs

June 30, 2022 - July 21, 2025

Designed a collaborative filtering recommendation system that boosted user engagement by 20% and revenue by 15%. Led development of computer vision algorithms improving accuracy by 18% and automating quality control. Implemented CI/CD practices for ML pipelines reducing deployment time by 30%. Integrated ML models reducing time-to-market by 25%. Implemented reinforcement learning algorithms for dynamic pricing optimizing revenue by 15%. Provided mentorship fostering a collaborative and innovative work environment.

Data Scientist/ Machine Learning Engineer at Agile17

October 1, 2020 - July 21, 2025

Developed NLP models for sentiment analysis improving accuracy by 25%. Integrated ML models for fraud detection reducing false positives by 20%. Enabled real-time analytics via cloud-based integrations. Enhanced churn prediction system accuracy by 30% through data analysis and feature engineering. Managed data science projects and portfolios. Implemented continuous model monitoring for performance optimization and ethical adherence.

Python Developer at Agile 170

September 30, 2020 - September 5, 2025

Utilized Python with Django and Flask to engineer and optimize scalable solutions, resulting in significant performance improvements by addressing resource-intensive challenges. Seamlessly integrated third-party APIs using Python for expanded web application functionality and seamless data exchange. Collaborated with cross-functional teams to develop and maintain consumer-facing websites, ensuring seamless integration with Python technologies. Integrated SQL/NoSQL databases into Python applications, optimizing performance and scalability. Developed interactive UIs using Python along with JavaScript, React, and Angular, boosting user engagement by 20%. Built LLM-powered chatbots with LangChain, Hugging Face, and OpenAI GPT APIs for enterprise clients. Automated LLM evaluation and monitoring pipelines with MLflow and custom metrics.