M Ali

AI Engineer II

Bazaar Technologies • Full-time

May 2025 - Present • 1 yr 2 mos

As AI Engineer II at Bazaar Technologies, I lead the development of AI-powered customer solutions and automation workflows that directly impact business operations and customer satisfaction: 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: • Built and deployed a Customer Care Bot, automating 90%+ of customer queries and significantly reducing manual workload on support agents • Developed comprehensive features including order status tracking, cancellations, delivery updates, product search, add-to-cart functionality, and Urdu voice query handling to serve diverse customer needs • Designed n8n automation workflows for manual order confirmations, streamlining operations and reducing overhead 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: • Created FastAPI microservices and optimized SQL queries for data products, enabling better business analytics and reporting capabilities • Implemented scalable backend solutions that support real-time customer interactions and data-driven decision making 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 & 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: • Collaborated directly with Engineering, Product, and Customer Experience Heads on strategic initiatives • Work is directly visible to the Co-founder, demonstrating trusted ownership of critical, high-impact projects 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗚𝗿𝗼𝘄𝘁𝗵: • Enhanced expertise in ArgoCD for continuous deployment, Cloud Native PostgreSQL (CNPG), and CI/CD pipeline management • Strengthened problem-solving abilities, cross-functional communication, and stakeholder management skills while working on production systems at scale This role has positioned me at the intersection of AI/ML engineering and full-stack development, where I deliver solutions that create measurable business impact while working closely with leadership on company-wide initiatives.

AI Engineer

Imperium Dynamics • Part-time

Apr 2025 - May 2025 • 1 mo

As an AI Engineer Intern at Imperium Dynamics, I contributed to accelerating machine learning workflows and data pipeline efficiency: 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Developed and deployed ML models using Microsoft Azure and Microsoft Fabric, improving data processing speed by 30% through optimized cloud infrastructure. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Built and maintained end-to-end data pipelines, reducing model training time by 25% by implementing efficient data handling and preprocessing workflows. 𝗖𝗿𝗼𝘀𝘀-𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Worked with a team of 4+ engineers to integrate AI features into production systems, enhancing project delivery efficiency by 20% and ensuring seamless deployment. 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Gained hands-on experience with Microsoft Azure ecosystem, including Azure Machine Learning, Data Factory, and Microsoft Fabric for enterprise-scale AI solutions. This role strengthened my expertise in cloud-based ML operations, data engineering, and collaborative AI development.

Software Engineer

SOCByte • Part-time

Mar 2025 - Apr 2025 • 1 mo

As a Software Engineer Intern at SOCByte, I have contributed to several key areas of system development and optimization, leading to measurable improvements in security, performance, and access control. 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Enhanced system security by 10% through the implementation of authentication, encryption, and security protocols using Fastify and Next.js, ensuring better protection of user data. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Increased data processing efficiency by 15% by optimizing backend performance with Node.js, Fastify, and PostgreSQL, leading to faster response times and improved scalability. 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻𝗲𝗱 𝗔𝗰𝗰𝗲𝘀𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Improved access control by 5% by migrating from React.js to Next.js and developing secure components, contributing to a more robust user management system. This experience has allowed me to strengthen my skills in backend development, security protocols, and performance optimization.