3+ years building production GenAI systems and multi-agent workflows. Expert in Model Context Protocol (MCP), LLM fine-tuning, and statistical ML, delivering 70-90% efficiency gains across healthcare and enterprise domains.
I am a Data Scientist and AI Context Engineer with 3+ years of experience building production GenAI systems, multi-agent workflows, and machine learning solutions that deliver measurable business impact.
My expertise spans Model Context Protocol (MCP), LLM fine-tuning, and statistical ML across healthcare, enterprise, and environmental domains. I specialize in designing AI agents, RAG systems, and deep learning models that have achieved 70-90% efficiency gains in production environments.
Currently completing my Master's in Information Technology and Analytics at Rochester Institute of Technology, I combine academic rigor with hands-on experience in MLOps, cloud platforms (AWS, Azure, GCP), and cutting-edge GenAI technologies to solve complex real-world problems.
Statistical analysis, predictive modeling, and data visualization expertise
Deep learning, neural networks, and ensemble methods for complex problems
LLMs, RAG systems, and multi-agent AI architectures
AI-powered multi-agent system leveraging LLMs to optimize resume–job description matches for improved ATS screening and candidate evaluation.
Intelligent AI platform using LangChain to automatically generate business-relevant data visualizations and insights from raw datasets.
AI-powered loan decision explanation system with FCRA-compliant reasoning using fine-tuned IBM Granite 350M for transparent lending decisions.
Custom fine-tuned LLM model designed to identify and filter spam calls using advanced NLP techniques to protect users from fraud.
Generative AI-powered astrology predictor delivering personalized insights using LLMs and RAG architecture for context-aware predictions.
Advanced analytics on F1 telemetry data to model driver performance patterns and build predictive insights for race outcomes.
End-to-end ML pipeline to predict phone prices using ensemble methods, deployed as scalable REST API on AWS Sagemaker.
Credential ID: C2F98ADE9E9ECB9D
Verify CredentialOracle Certification 2025
Verify CredentialI'm currently open to new opportunities and collaborations. Feel free to reach out if you'd like to discuss data science, AI projects, or just want to connect!