Hi, I'mSathyam

Built an agent system with RAG and Model Context Protocol (MCP) that facilitated real-time context-aware database interaction and lowered manual data retrieval efforts by 40%

Designed a secure, schema-constrained domain agent that ensured compliant access to financial data, resulting in a 30% drop in invalid or failed queries

Optimized multi-agent context handling and retrieval logic, leading to a 35% reduction in response time and 50% increase in query resolution accuracy.

Partnered with one of our hackathon sponsors during the techno-cultural fest, fulfilling their request for a technical contribution in return for sponsorship support

Collaborated with their team to build a Retrieval-Augmented Generation (RAG) pipeline for extracting structured information from 50 Purchase Order documents

Led coordination efforts and experimented with dense, sparse, and hybrid retrieval methods—achieving a 35–40% improvement in extraction accuracy while enhancing communication and project management skills

Developed and implemented machine learning models for data analysis and predictive analytics. Worked extensively with Python libraries including pandas, numpy, and scikit-learn.

Collaborated with senior data scientists to optimize model performance and contributed to the development of automated data processing pipelines.

Gained hands-on experience in data visualization, statistical analysis, and presented findings to stakeholders through comprehensive reports.