Leading: Generative AI, LLM, High Performance, Infrastructure, Machine Learning, Cloud, Big Data, Microservices, APIs, AWS, Azure.

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.

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.

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.

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.