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ShivaniSutrave/README.md

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🧬 About Me

class ShivaniSutrave:
    def __init__(self):
        self.role        = "MS Computer Science @ Texas A&M University–San Antonio"
        self.title       = "Full Stack AI Engineer"
        self.focus       = ["Research-driven AI", "System Analysis", "Scalable Solutions"]
        self.interests   = ["Artificial Intelligence", "Machine Learning", "LLMs",
                             "Cloud Computing", "DevOps", "Data Analytics"]
        self.location    = "San Antonio, TX"
        self.currently   = "Benchmarking LLM-generated code & building deep learning pipelines"

    def say_hi(self):
        print("Always exploring how AI systems can be evaluated, scaled, and trusted!")

🧠 Tech Stack

Languages
Python Java C C++ JavaScript TypeScript SQL

Data Engineering & Analytics
Pandas NumPy Apache Spark Airflow Kafka Power BI Tableau

AI / Generative AI
LangChain OpenAI HuggingFace NLP LLM Evaluation RAG Vector DBs Prompt Engineering

Machine Learning / Deep Learning
PyTorch TensorFlow Keras scikit-learn XGBoost OpenCV MLflow

AI Full-Stack Development
FastAPI Flask Streamlit React Node.js REST APIs

Software Engineering
OOP Design Patterns DSA System Design Microservices Agile/Scrum Testing

Cloud & DevOps
AWS Azure Docker Kubernetes GitHub Actions Terraform

Databases
MySQL PostgreSQL MongoDB Neo4j Redis

Tools
Linux Git Jupyter VS Code


📌 Projects

ML system predicting SME loan default risk using alternative data (GST filing, UPI transactions, cash flow) with SHAP explainability.
Jupyter Notebook XGBoost LightGBM SHAP

Benchmarking LLM-generated code against human-written implementations using performance and correctness metrics.

Deep learning-based wildfire risk prediction using satellite imagery.

Development of AI agents and conversational chatbots for automation, analytics, and information retrieval.

Full-stack JavaScript app delivering live, context-aware suggestions. Live demo →
JavaScript

SwiftUI prototype mapping emotional wellness to physical activity — recommends workouts (yoga for stress, lifting for energy) using Swift Charts to track emotional trends.
Swift

Python-based hospital operations system (latest project — add a description on GitHub for it to show up here).
Python



📊 GitHub Analytics


🐍 Contribution Snake

↳ generated automatically via the snake workflow below — set it up once and it updates itself daily


Profile Views

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  1. ai-agents-and-chatbots ai-agents-and-chatbots Public

    Development of AI agents and conversational chatbots for automation, analytics, and information retrieval.

  2. LLM-code-benchmarking LLM-code-benchmarking Public

    Benchmarking LLM-generated code against human-written implementations using performance and correctness metrics.

  3. ShivaniSutrave ShivaniSutrave Public

    GitHub profile README showcasing my background, skills, and projects in AI, Machine Learning, Cloud, and DevOps.

  4. wildfire-prediction-deep-learning wildfire-prediction-deep-learning Public

    Deep learning–based wildfire risk prediction using satellite imagery.