Rishabh Bhatt Email & Phone Number

Seattle, Wa, Us

Morristown, New Jersey, United States

- Design scalable data infrastructure for client by understanding business requirements, creating data models, building data ETL pipelines, providing aggregated datasets with low latency queries to support stable data flow from data lake / data warehouses to end-user facing applications.- Led cross-functional projects to re-engineer the client's incentive compensation framework through real time analytics using Apache Spark, Apache Airflow, and Streamlit; introduced real-time analytics and automated reporting, resulting in >50% boost in productivity.

State College, Pennsylvania, United States

- Developed a conversational agent powered by a Large Language Model (LLM) to assist customers in completing tasks requiring multiple steps and decisions while incorporate multimodal (voice and vision) customer experiences. Try it! Say "Alexa, lets work together"- The application was developed using Amazon's ASK API and deployed on Amazon's EC2 instances for echo devices serving a user base of >50 million, I designed the agents backend using a microservice architecture. Implementing containerization, caching, load balancing for efficient performance and auto-scaling. - I reduced response latency 30% and increased relevance 60% for our language models (LLMs) by designing an information retrieval system with RESTful API using Django REST framework to process complex queries and perform CRUD operations on a knowledge graph database. - Analysed log data to identify & fix bugs with backend services, communicated findings to engineers at Amazon

University Park, Pennsylvania, United States

Pune, Maharashtra, India

- Migrated client's data infrastructure to cloud by gathering business requirements, designing data ETL pipelines to integrate data from multiple sources into production systems, optimizing OLAP systems, helping them save cost and grow revenue by 40%. - Helped clients improve sales by over 25%, by developing automation tools to process 2+ petabytes of anonymized longitudinal patient data (APLD) using Marketing Mix models, and optimizing the sales force through geospatial territory alignment. - Increased client's reach 60%, by applying unsupervised learning algorithms such as K-Means to cluster millions of customers into segments for targeted messaging and analyzing effectiveness of marketing strategies using A/B Testing. During my time at ZS I also gained proficiency working with latest data technologies like PySpark, Pandas, Scikit-Learn, AWS Redshift for big data processing and data visualization.

Bengaluru Area, India

- Worked on parking management application to automate various parking processes using object deteciton and number plate recognition. I used OpenCV for processing images and a convolutional neural network for number recognition. I built the features on C++ and intregrated them into the user interface using Qt.

Master Of Science - Ms, Computer Science And Engineering, 3.7

Activities and Societies: Graduate Assistant (CSE 587 : Deep Learning for Natural Language Processing)- CSE 565 : Algorithm Design.

Bachelor Of Technology - Btech, Computer Science And Engineering With Spl. In Bioinformatics

Activities and Societies: AIESEC VIT, AIESEC India- CSE 4001 : Parallel and Distributed Computing - CSE 4015 : Human Computer Interaction.