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  • Charlotte, NC

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Hrushitha12/README.md

Hi, I'm Hrushitha 👋

MS Computer Science (Data Science) from UNC Charlotte · 2 IEEE publications

🔭 What I work on

  • Backend and distributed systems
  • LLM-based testing and evaluation
  • Agentic AI systems with RAG

📄 Publication

LLM-Based Robustness Testing of Microservice Applications: An Empirical Study IEEE SRDS 2026, First Author Code and data: llm_robustness_test_diversity

📄 Publications

Paper Venue Year
LLM-Based Robustness Testing of Microservice Applications (First Author) IEEE SRDS 2026 2026
Crop Yield Prediction using ML & Deep Learning [IEEE] (https://ieeexplore.ieee.org/document/10689872) 2024
Legal Precedent Retrieval using Sentence Embeddings and Clustering arXiv:2406.01609 2024

🛠 Tech Stack

Languages: Python, Java, SQL Backend: FastAPI, REST APIs, Microservices Cloud: AWS, Docker, Kubernetes, GitHub Actions Databases: MongoDB, PostgreSQL, Qdrant AI/LLM: LangGraph, LangChain, RAG, LLM Evaluation

🏆 Certifications

AWS Certified Data Engineer

💻 Tech Stack:

Java JavaScript Python R TypeScript C C++ Markdown Azure Google Cloud Oracle Apache Spark Apache Hadoop NodeJS OpenCV React Streamlit Jenkins Apache Apache Maven MySQL MongoDB Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Actions Git GitHub Docker Power Bi

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  1. agentic-test-generator agentic-test-generator Public

    5-agent AI system using CrewAI, MCP, and A2A Protocol to autonomously generate API test suites from OpenAPI specs — GPT-4o/Claude Sonnet via LiteLLM with LangSmith tracing

    Python

  2. legal-rag-api legal-rag-api Public

    Production RAG API for legal precedent retrieval — extends arXiv:2406.01609

    Python

  3. llm_robustness_test_diversity llm_robustness_test_diversity Public

    RobustnessPilot — Automated LLM evaluation framework testing 3 models (14B–70B params) across 23 failure modes with 7 prompt strategies | First-author paper submitted to IEEE SRDS 2026

    Java

  4. Machine-Learning-Model-Reliability-Monitoring-Dashboard Machine-Learning-Model-Reliability-Monitoring-Dashboard Public

    Production ML monitoring dashboard tracking performance drift, data drift, and prediction drift across Classification, Regression, NLP, and Computer Vision — SHAP, LIME, KS tests

    Jupyter Notebook

  5. smart-parking-analytics-dashboard smart-parking-analytics-dashboard Public

    End-to-end ML pipeline with PySpark MLlib and Scikit-Learn (0.71 F1, 0.79 AUC) + interactive Streamlit dashboard for parking analytics on 100K+ records

    Jupyter Notebook