Lead AI/ML Expert
Nayan G is a Lead AI/ML Expert with 11+ years of experience in NLP and AI solution development. He specializes in building predictive models, chatbots, and recommendation systems, with hands-on expertise in Python, Django, FastAPI, and cloud platforms like AWS and GCP. Nayan thrives in Agile teams, delivering scalable, production-ready AI applications across diverse industries.
Julia
4 years
Built a complete Platform-as-a-Service (PaaS) solution for interactive data analytics. Enabled users to upload datasets, apply machine learning models, such as regression, clustering, anomaly detection, and time series forecasting, and view results through dynamic dashboards. Designed data preprocessing pipelines and optimized model performance for varied analytical needs. Worked with product teams to define features and supported clients by selecting the right models for their use cases.
Developed a Q&A chatbot to assist call center agents by providing precise answers from extensive product documentation. Built the NLP logic using large language models and vector embeddings for semantic search. Created and managed vector databases with full CRUD support. Tuned prompts to enhance answer accuracy and implemented strategies to minimize hallucinations from the LLM, ensuring reliability in real-time responses.
Automated energy data ingestion from APIs, FTP, and email using Airflow DAGs deployed on AWS MWAA. Designed and implemented time series models to forecast energy consumption and billing patterns based on seasonal trends. Handled data transformation, formatting, and pipeline orchestration to ensure clean, timely inputs for accurate model predictions.
Shanti Business School
PGDM in Decision Science
Quarterly Star Performer Award
Spot Award

Nayan’s expertise in predictive modeling brought real value to our operations. His demand forecasting solution gave us a more accurate view of future inventory needs, improving planning decisions and reducing stockouts.

We engaged Nayan to enhance our fraud detection pipeline. He delivered a scalable solution that improved detection rates while minimizing false positives. His approach was thoughtful, methodical, and business-aligned.

Nayan played a critical role in building our patient insights platform. His work on unstructured text classification helped surface key trends in clinical notes, allowing us to speed up care review cycles.

Nayan developed a recommendation system that aligned closely with our business goals. His contributions were grounded in both technical rigor and a solid understanding of customer behavior.