# Tayyab Bin Tahir > Software Engineer | Infrastructure | AI | LLMs | Microservices | x McKinsey & Company Location: Sunnyvale, California, United States Profile: https://flows.cv/tayyabbintahir Innovative and results-driven Software Engineer with deep expertise in artificial intelligence, large language models (LLMs), and cutting-edge infrastructure design. Specializing in building scalable, high-performance systems, I have a proven track record of architecting and deploying generative AI solutions that power real-world applications. My focus on performance optimization and system reliability ensures seamless integration of AI capabilities into production environments, driving measurable impact for businesses. Passionate about safety and responsible AI, I rigorously implement guardrails and evaluation frameworks to ensure AI systems meet the highest standards of reliability and ethical compliance. With a strong foundation in distributed systems, cloud infrastructure, and AI-driven innovation, I thrive at the intersection of engineering excellence and transformative technology. ## Work Experience ### Software Engineer @ Varian Jan 2023 – Present | Palo Alto, California, United States Leading: Generative AI, LLM, High Performance, Infrastructure, Machine Learning, Cloud, Big Data, Microservices, APIs, AWS, Azure. ### Software Engineer @ BD Jan 2022 – Jan 2023 | San Jose, California, United States BD ranks #2nd, in the Fortune 500 companies for revolutionizing Medical Technology with over $20 Billion in revenue. • Built an AI distributed Data Search Engine & Interpreter using Python & Node.js to automate data processes and medical experiments by leveraging parallel computing of Open MPI and enhanced the latency by 150%. • Developed RESTful APIs in Python & Node.js with OpenAPI/Swagger and JSON:API specifications to execute the data pipelines on a complex filtration & searching mechanism to serve 100+ Million requests. • Architected and implemented an Open-source API Skeleton that highly impacted the work of 8 Million users by 3X better speed performance, caching schema, and building a User Interface with React & Vue js. • Developed a medicine gallery and deployed it on AWS EC2, Lambda functions & Azure functions with Jenkins CI/CD pipelines. Technology Skills: Python, Django, Node.js, JavaScript, React, Redux, GitHub, Docker, Jenkins, MySQL, Microservices, Redis, AWS. ### Machine Learning Researcher @ University of Oregon Jan 2021 – Jan 2023 | Oregon, United States Domain: Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, and Multi-Agent Systems. I work with Professor Dr. Thanh Nguyen on Adversarial Machine Learning and Sequential Game Theory problems funded by the Army Research Office and creating a huge impact in the field. From problem formulation, research & development to implementing artificial intelligent solutions by writing scalable frameworks. This involves researching, implementing, and experimenting with various machine learning and deep learning architectures (e.g. Deep Reinforcement Q-Learning for a Double Oracle structure, Generative Adversarial Networks, Normalizing Flows, Graph Neural Networks, etc.) Technologies: Python, PyTorch, Keras, TensorFlow, and various data science libraries. ### Software Engineer @ Algo Jan 2020 – Jan 2021 | Troy, Michigan, United States Algo.ai is ranked among the 𝐓𝐨𝐩 1% 𝐢𝐧 𝐭𝐡𝐞 "𝐈𝐧𝐜. 5000 𝐋𝐢𝐬𝐭" of the fastest-growing companies in the USA with an 8000+% growth rate in 2020. (Series A: $15 Million). • Led a team of 4 engineers and architected multiple large-scale software systems of reusable components with React, Java, Spark, SQL, & Python and scaling designs across multiple applications, with great coding practices & optimized refactoring. • Wrote the code base of release management and deployment of applications for Web using Circle CI and Fastlane. • Implemented pub-sub pattern using Kafka and Java to reduce processing time by 30% in online prediction service. • Achieved the required SLA and TPS through elastic scaling using Docker and Kubernetes. Setup fallback with hystrix circuit breaker. • Delivered 25% better demand forecasting and user experience in supply chains for Best Buy, Facebook & Microsoft. Technology Skills: Python, Django, Flask, Node.js, C#, .NET, Spark, Hadoop, React, Java, Vue, SQL, MongoDB, Microsoft Azure, Jira. ### Software Engineer @ Afiniti Jan 2018 – Jan 2020 | Washington, District of Columbia, United States 𝐀𝐟𝐢𝐧𝐢𝐭𝐢 (𝐀 𝐌𝐜𝐊𝐢𝐧𝐬𝐞𝐲 & 𝐂𝐨𝐦𝐩𝐚𝐧𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧) is a multi-national AI unicorn company that aims to intelligently route customers to the best matching representative using behavioral analytics. • Led a team of 3 and delivered 2 X revenue by increasing sales with enterprise web solutions for AT&T, and T-Mobile. • Designed and productionzed a full-fledged enterprise web platform using Python, C++ & Java for optimizing call-center environments with artificial intelligence and state-of-the-art API solutions. • Optimized the performance and reduced the memory consumption of a large multi-threaded application by 200% by analyzing the GC report using gceasy and fixing the memory leak. • Wrote 100K+ lines of quality code base and trained the team about clean coding practices, scalable solutions and optimizations. Taught to write test cases using Jest and React Testing Library. Technology Skills: Python, React, Java, C++, Next JS, Node JS, Express JS, MongoDB, JavaScript, Microservices, Scikit-learn, AWS. ### Teaching Assistant for Data Science Course (CS 481) @ National University of Computer and Emerging Sciences Jan 2019 – Jan 2019 | Lahore, Pakistan Teaching Assistant for Senior Year Data Science course (CS 481) under “Professor Dr. Irfan Younas” - Ph.D. (Computer Science & Coordinator of MS Data Science program). ● Responsibilities: Conducting tutorials | Office hours | Designing and marking quizzes, assignments, and projects | Delivering lectures on cutting-edge technologies. ### Teaching Assistant for Artificial Intelligence Course (CS 401) @ National University of Computer and Emerging Sciences Jan 2019 – Jan 2019 Teaching Assistant for Senior Year Artificial Intelligence course (CS 401) under “Professor Dr. Kashif Zafar” - Ph.D. (Computer Science & Head of Department). ### President @ NUCES-ACM Jan 2016 – Jan 2017 | Lahore, Pakistan President at ACM FAST-NU Chapter and Event Coordinator of Mega Event at FAST-NU Lahore Campus the "Geek Week 2016-17". Also the Member of ACM International. Skills: Leadership, Team Management, Marketing, Organizing National Events. ## Education ### Master of Science - MS in Computer Science University of Oregon ### Bachelor of Science in Computer Science in Computer Science National University of Computer and Emerging Sciences ### Specialization Courses in Data Science, Cloud Computing, Distributed Computing Coursera ### FSc in Pre-Engineering Government College University (GCU), Lahore ### Matriculation in Science Divisional Public School Model Town Lahore ## Contact & Social - LinkedIn: https://linkedin.com/in/tayyab-bin-tahir - Website: https://github.com/RanaTayyab --- Source: https://flows.cv/tayyabbintahir JSON Resume: https://flows.cv/tayyabbintahir/resume.json Last updated: 2026-04-01