Hello World!

I am Charan Teja Mutyala

Know more about me and my work
About Me

AI Engineer &
Data Scientist

Graduate student at the University of Houston pursuing MS in Data Science Engineering (GPA 3.7), with a B.Tech in AI & Machine Learning.

I build across the full AI stack — from training deep learning models and designing multi-agent CrewAI pipelines to deploying production Streamlit apps backed by vector databases.

Currently a Research Assistant at UH, building LLM systems that evaluate student learning responses using self-consistency voting pipelines and automated feedback generation.

MS Data Science Engineering
University of Houston, Texas, USA
Aug 2024 – PresentGPA: 3.7 / 4.0
B.Tech — Artificial Intelligence & Machine Learning
Swarnandhra College of Engineering and Technology
Jan 2021 – May 2024GPA: 3.5 / 4.0
3.7
MS GPA at UH
3+
AI Projects Shipped
88%
CNN Model Accuracy
40%
Grading Effort Saved
Technical Skills

What I Work With

AI / LLM / GenAI
LangChainCrewAIOpenAI API GPT-4oPrompt EngineeringRAG Agentic PipelinesLLM Evaluation
ML & Deep Learning
Scikit-learnTensorFlowCNN NLPComputer VisionRandom Forest Gradient BoostingFeature Engineering
Languages & Backend
PythonJavaC++ RMATLABFastAPI Node.jsREST APIs
Data & Databases
PandasNumPySQL ChromaDBFAISSMatplotlib
Frontend & UI
StreamlitReact HTML / CSSJavaScript
Tools & Platforms
GitHubJupyter NotebookVS Code PyCharmLinux / BashAnaconda
Experience

Where I've
Worked

Aug 2025 – Present
Research Assistant
University of Houston — Houston, TX
  • Built an AI chatbot integrated with PhET physics simulations to analyze 100+ student interaction responses.
  • Designed Python pipelines to classify responses via Learning Progression rubrics — improving accuracy by 20%.
  • Implemented LLM evaluation pipelines with self-consistency voting, boosting reliability by 25%.
  • Automated personalized feedback generation, cutting manual grading effort by 40%.
  • Built scalable processing workflows, improving pipeline efficiency by 30%.
May 2025 – Aug 2025
Machine Learning Intern
Ecare Medical Group — Houston, TX
  • Built ML models using Scikit-learn and Pandas to analyze 5,000+ anonymized healthcare records.
  • Performed feature engineering on 50+ clinical features, improving model performance by 15%.
  • Trained Random Forest and Gradient Boosting models achieving 85%+ prediction accuracy.
  • Created data visualization dashboards, improving reporting efficiency by 30%.
  • Optimized preprocessing pipelines, reducing data processing time by 25%.
Featured Work

Projects

🏥
GH ↗
AI Medical Health Assistant
Full-stack AI assistant extracting 20+ medical values from PDFs/images, generating personalized insights with ~90% accuracy.
  • 3 CrewAI agents cut report interpretation time by 70%
  • LangChain + ChromaDB for 50+ patient records & trend analysis
  • Streamlit UI with REST APIs for real-time insights
CrewAILangChainGPT-4o ChromaDBStreamlitPyMuPDF
⚛️
GH ↗
AI PhET Simulation Chatbot
AI chatbot integrated with PhET physics simulations to evaluate student responses and automate grading feedback at scale.
  • LLM evaluation pipelines improved reliability by 25%
  • Automated feedback reduced evaluation time by 40%
  • Scalable Python modules for large-batch processing
LangChainOpenAI PythonLLM EvalFastAPI
👁️
GH ↗
Diabetic Retinopathy Detection
CNN model classifying retinal images into severity stages with 88% accuracy — enabling automated early detection.
  • Preprocessed and augmented 1,000+ retinal images
  • Improved generalization by 15% via hyperparameter tuning
  • 88% accuracy across all retinopathy severity stages
TensorFlowCNN Computer VisionPythonNumPy
Research

Published Work

🔬
Security Approaches for Advanced Traffic Management Systems (ATMS)
Research on data analysis for security and privacy in intelligent traffic systems — identifying vulnerabilities in Intersection Signal Attacks (ISA) and designing protective mechanisms against exploitation vectors in smart city infrastructure.
Contact

Let's Build
Something Together

Open to full-time AI/ML roles, research collaborations, and interesting projects. If you're building something intelligent — let's talk.

✉ Email 📞 (832) 721-5135 in LinkedIn ↓ Resume