Open to opportunities

Charan Kumar reddy

@charankumarreddy1

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I build and deploy local LLM, RAG, and multi-agent applications with measurable real-world outcomes.

India

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What I'm looking for

I'm seeking a hands-on AI Engineer role where I can ship production LLM features and improve measurable accuracy, latency, and cost outcomes.

I've built and open-sourced LLM systems including a CrewAI startup validator, an autonomous local code-review agent, and a real-time research assistant powered by Llama 3.2. My code-review app reached 4,500+ impressions, while my startup validator generates demand, revenue, risk, competitor, and ranking outputs through a four-agent workflow.

During my Data Analytics internship at APSSDC, I built Python analytics pipelines, developed classification models with scikit-learn and XGBoost, and prototyped GPT-assisted narrative reporting from structured outputs.

I'm completing a B.Tech in Artificial Intelligence and Machine Learning while building in public through 22 repositories and 270+ GitHub contributions. I work across RAG, agent orchestration, local inference, backend APIs, vector databases, voice pipelines, and deployment without relying on paid infrastructure.

Experience

Work history, roles, and key accomplishments

Data Analytics Intern

APSSDC

May 2025 - Jul 2025 (2 months)

Built end-to-end analytics pipelines in Python, including EDA, feature engineering, and visualization, to derive actionable insights from real-world datasets. Developed a classification model with scikit-learn and XGBoost, and prototyped LLM-assisted reporting by integrating a GPT API call to auto-generate narrative summaries.

Python EDA Feature Engineering scikit learn XGBoost LLM APIs Data Visualization

Education

Degrees, certifications, and relevant coursework

Aditya University

Bachelor of Technology, Artificial Intelligence & Machine Learning

2023 -

Grade: 8.14

Pursuing a Bachelor of Technology in Artificial Intelligence and Machine Learning with a GPA of 8.14. Coursework includes Deep Learning, NLP, Data Science, and Mathematical Foundations.