Rahul Tripathi

With over a decade of hands-on experience as an Artificial Intelligence Architect, I specialize in delivering scalable AI solutions powered by Machine Learning, Deep Learning, Natural Language Processing (NLP), and Large Language Models (LLMs) to drive impactful business outcomes across diverse sectors, including e-commerce, retail, FMCG, supply chain, healthcare, finance, manufacturing, automotive, and telecommunications. My expertise lies in seamlessly integrating cutting-edge research into real-world applications, leading cross-functional teams, and pioneering data science innovation to optimize resource-efficient architectures tailored to the unique challenges of each industry.

Data Science Architect Dec. 2022 - Present GlobalLogic-Hitachi | Bengaluru, INDIA ● Designed and implemented an end-to-end machine learning pipeline, integrating large language models (LLMs) and transformer-based architectures to deliver customer segmentation and hyper-personalization systems for a leading luxury retailer in the US, driving targeted offers and contributing to a 15% increase in sales. ● Architected and deployed a demand forecasting model that integrates holiday and event data, optimizing inventory management and reducing stockouts by 12%. ● Led the design and orchestration of data processing, feature engineering, model training, and deployment workflows, ensuring scalability and reliability for the largest luxury retail website in the US. ● Collaborated closely with cross-functional teams to translate business requirements into technical solutions, resulting in a 10% improvement in customer satisfaction scores. ● Led AI model development using the Hidden Markov Model for disease progression on embedded devices, resulting in 20% improved health impact prediction. Enhanced user experience via real-time mobile app integration in the world's biggest AI Healthcare sleep industry. ● Championed cost optimization initiatives by leveraging efficient model architectures and edge computing strategies. This reduced computational resource requirements by 30%, leading to 20% cost savings on hardware and cloud infrastructure. Lead Data Scientist Oct. 2020 - Dec. 2022 Deloitte | Bengaluru, INDIA ● Designed and developed an evolving state-of-the-art risk-sensing monitoring tool for the world's leading construction and mining equipment manufacturer, utilizing advanced analytics to identify, analyze, and monitor emerging risks in the supply chain domain. ● Led the development of a risk-sensing monitoring platform, reducing manual monitoring costs by 20%. ● Built time-series, event detection, and classification models that sensed risks from various data sources, resulting in over $1M in incremental growth. ● Designed and led the development of the entire Concourse CI/CD pipeline, saving the data lake team $100K per month. ● Collaborated with business stakeholders to understand needs and supported the definition of the initiative’s costs and benefits analysis. Sr. Data Scientist Aug. 2018 - Sep. 2020 Ernst & Young | Bengaluru, INDIA ● Design and Architect the E2E flow of an online tea e-auction system that predicts the yield and supply of tea in various regions of India and generates revenue of $1M during an online tea auction. ● Developed various computer vision models that save human lives and generate millions of revenues. ● Led the team of 5 data scientists that helped the organization to solve various complex machine learning problems. Sr. Data Scientist May 2018 - Aug 2018 Utopia Global | Bengaluru, INDIA ● Built a web scraper product to scrape data coming from priority algorithms. ● Configure and deploy all local rest APIs to NGINX Web Server. ● Configured NGINX server to provide CORS and CSRF security support. Data Scientist Jan. 2014 - May 2018 Accenture | Bengaluru, INDIA ● Developed and productionize learning board recommendation system with 90% accuracy. ● Developed and Productionize Cross-Sell/Up-Sell of Unilever Products. ● Build a CNN neural network to classify electric and non-electric poles. ● Implemented a churn prediction model for an e-commerce firm that generated 11% revenue after doing target campaigning for churning customers. ● Designed and built a classification model that automatically predicts the chances of product return in commerce applications.

B.E - Computer Science and Engineering