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Mehreen1103/README.md

About Me

I am an AI Research Engineer and CSE graduate specializing in production Generative AI systems, stateful agentic workflows, and Natural Language Processing (NLP) research.

  • Current Role: AI Research Engineer at Eagle3D Streaming, engineering automated video dubbing systems (Whisper + F5-TTS + FastAPI) and NL-to-MongoDB query engines.
  • Research Focus: Applied research in NLP and Large Language Models (LLMs), focusing on low-resource language processing and model reliability.

Technical Stack & Ecosystem

GenAI & Agent Frameworks

LangChain PyTorch HuggingFace Ollama FAISS ChromaDB

Backend & Model Serving

FastAPI Python C++ MongoDB REST APIs

Infrastructure & Tools

Docker Git Linux React


Research & Publications

My research explores Natural Language Processing (NLP) and Large Language Models (LLMs), with a focus on evaluation frameworks, text classification, and low-resource language processing.

Explore my published work on Google Scholar.


Contribution Activity



Contribution Grid

Contribution Snake

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  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    End-to-end ML app predicting telecom customer churn using XGBoost, FastAPI & Docker. Deployed on Hugging Face Spaces.

    HTML 1

  2. customer-support-bot customer-support-bot Public

    A hybrid customer support triage agent demonstrating LangChain and LangGraph in a single pipeline. Features grounded RAG, intelligent intent routing, iterative self-correction, and human-in-the-loo…

    Python

  3. h-map-chatbot h-map-chatbot Public

    AI-powered RAG chatbot using LangChain, FAISS & Google Gemini to answer questions from PDF documents. Built with Streamlit & FastAPI.

    Python 1

  4. LLMs4OL-2025 LLMs4OL-2025 Public

    Official participation in the 2nd LLMs4OL Challenge @ ISWC 2025, Nara, Japan. Hybrid Embedding–Clustering–LLM pipeline for biomedical taxonomy discovery (Task C1 – OBI). Co-located with the 24th In…

    Jupyter Notebook

  5. Misogyny-Meme-Detection Misogyny-Meme-Detection Public

    Published paper @ LT-EDI@LDK 2025, Naples, Italy. Multimodal deep learning system (CharBERT + BiLSTM + ViT + GMU fusion) for detecting misogynistic memes in code-mixed Chinese-English content.

    Jupyter Notebook

  6. Intra-CUET-ML-Contest Intra-CUET-ML-Contest Public

    Our finalist submission to the Intra-CUET ML Contest — zero-shot CoT reasoning over Bengali physics MCQs using Qwen3-14B Base

    Jupyter Notebook