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suparshwa31/README.md

💫 About Me:

I care about the gap between AI that works in a notebook and AI that works in production. Currently building RAG systems and LLM-powered backends, focused on retrieval quality, latency, and reliability at scale. Background in backend engineering at Capgemini and ML research at Purdue. Always thinking about what makes inference actually fast and systems actually resilient.

🌐 Socials:

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💻 Tech Stack

Languages Python TypeScript SQL
AI / ML PyTorch TensorFlow scikit-learn HuggingFace LangChain LangGraph NumPy Pandas Matplotlib
Backend & APIs FastAPI Flask Node.js React GraphQL
Databases & Vector Stores PostgreSQL MongoDB Redis Pinecone
Cloud & DevOps AWS Google Cloud Docker Kubernetes Postman Jira

Pinned Loading

  1. Dynamic_Transformer Dynamic_Transformer Public

    Jupyter Notebook 2

  2. Contextual_Emotion-Cause_Detection Contextual_Emotion-Cause_Detection Public

    Jupyter Notebook

  3. Interview_Prep Interview_Prep Public

    JavaScript 1

  4. adversarial-robustness-defense adversarial-robustness-defense Public

    Python

  5. Log_Analyzer Log_Analyzer Public

    Python 1

  6. Draw_and_tell Draw_and_tell Public

    Python