Aryan Guddeti

WORK HISTORY

EDUCATION

ABOUT ARYAN GUDDETI

I bridge the gap between complex data engineering and high-stakes business strategy. As a Data Science Graduate Student at Rutgers University, my focus is on building AI/ML systems that don\'t just predict outcomes but drive ROI. My background is anchored in the \"Consulting-to-Production\" pipeline. At PwC, I engineered predictive models for global FMCG leaders, integrating volatile macroeconomic signals into automated pricing engines. Today, I’ve pivoted that focus toward the Agentic AI landscape, moving beyond simple LLM pipelines to architecting self-correcting systems that handle ambiguity with precision. What I bring to the table:Consulting-Grade ML: I understand that a model is only as good as its ROI. I have a track record of deploying solutions in high-stakes environments where accuracy and interpretability are non-negotiable.Agentic Orchestration: I design stateful, cyclic workflows using LangGraph and LangChain. My recent work includes a self-correcting RAG agent that employs \"Self-Reflection\"(LLM-as-a-Judge) to grade its own retrieval and eliminate hallucinations.Full-Stack Capability: Comfortable across the entire stack, from data engineering and statistical modeling to deploying interactive UIs.Technical Toolkit:AI/ML: LLM Fine-tuning, Agentic RAG, LangGraph, Scikit-learn, PyTorch.Engineering: Python, SQL, Flask, React, Data Pipeline Optimization.I am currently seeking a Summer 2026 Internship in AI/ML or Data Science roles. If you’re looking for someone who can navigate both a codebase and a boardroom, let’s connect!