Avinash Rajaraman Swaminathan

• Delivered end-to-end Agentic GenAI solutions using Azure, Google ADK, Langchain and RAG-based semantic search, integrating real-time summarization and intelligent retrieval for leading finance, energy and healthcare stakeholders.
• Led full-stack development (Python, Node.js, React, Flask), driving clean, modular deployment on GCP while optimizing prompt workflows.

Developed a CNN-based climate forecasting model, orchestrating an end-to-end ML pipeline performing EDA, feature engineering and statistical modeling for NASA's satellite data, achieving a fivefold improvement in predictive performance.

Spearheaded the design and deployment of NLP-driven recommender systems, leveraging SQL & Python to drive targeted marketing strategies like NPS & CLTV, directly resulting in a 15% increase in sales by improving customer purchase predictions and ROI. Collaborated with cross-functional UK stakeholders to optimize retail operational strategies and inventory management boosting customer satisfactio

• Led technology solution projects for large scale healthcare datasets, optimizing ETL data pipelines and SQL queries using agile methodologies, ultimately achieving 100% project delivery milestones.
• Collaborated with the cross-functional teams, improving KPI performance through strategic data processing and Qlik dashboards.

• Conducted detailed patent searches, leveraging Tableau to improve data integrity and generate technology trend reports.
• Optimized patent search platform through strategic SEO improvements, increasing search accuracy and user engagement.