With 6+ years of experience in Data Science and AI Engineering, I specialize in building intelligent systems that solve real-world business problems through advanced analytics and machine learning.
Gurgaon, India
Data Scientist
IBM
I am Trilok Nath, a results-driven Data Scientist with over 6 years of experience in software development and data science. Currently working at IBM in Gurgaon, I specialize in Generative AI, LLMs, Agents, Multimodality, Retrieval-Augmented Generation (RAG), and other cutting-edge technologies.
My professional journey is defined by delivering high-impact solutions that drive business transformation. At IBM, I've:
Prior to IBM, I:
2024
2023
- Content Generation System (CGS) : Spearheaded the development of an automated product that cut down regulatory approval document processing time by 80%, reducing it from several months to just a few weeks. Deployed successfully on the client's Azure Cloud, accelerating regulatory workflows. - Chat Virtual Agent Pilot : Contributed to the development of a Virtual Agent that enhanced digital self-service using WatsonX Assistant and LLMs. Key achievements include a 50% reduction in the number of clicks required to find relevant information on the website, improving user experience and support efficiency. - GenAI ABCOrder : Co-developed a Generative AI solution that increased order placement efficiency by 25%. Delivered impactful features like automated data extraction, product description enhancements, and a RAG-powered virtual assistant, significantly optimizing the customer experience.
- Engineered connectors that automated the integration of accounting software (FreshBooks, Xero, Zoho) with odoo ERP, reducing manual data entry time by 50% . - Implemented real-time data synchronization between Odoo ERP and e-commerce platforms (Prestashop), enhancing data accuracy and improving transaction processing speed by 20% . - Optimized system performance through debugging and feature enhancements, increasing overall platform efficiency by 10% .
- Developed and launched web applications on Azure Cloud, which reduced operational costs by 20% due to optimized cloud resource allocation and performance. -Customized Odoo ERP modules, leading to 25% improvement in business process efficiency and tailored functionality to meet specific business needs. -Built and deployed microservices-based web applications, ensuring seamless integration with REST APIs, improving response times and scalability by 30% .
End to End development of an automated product that cut down regulatory approval document processing time by 80%, reducing it from several months to just a few weeks. Deployed successfully on the client's Azure Cloud, accelerating regulatory workflows.
Developed a machine learning model to predict the landing outcome of SpaceX Falcon 9 first stage using flight data. Achieved an accuracy of 94% by training the model on 1000+ flight records.
In this project we are creating a laptop Price predictor with the help of Machine Learning Models.
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