Tek Raj Awasthi

About

Tek Raj Awasthi works in AI engineering and ML & data science, based in Munich, Germany (Anthology (By Polymath Labs)). Inference Optimization Fellow @ Anthology (by Polymath Labs) - Research Focus: LLM Inference and Compression | Local LLM Inference. Public projects on GitHub include LLM-and-RAG-Powered-MedBot (LLM and RAG suported Medical ChatBot based RASA Dialogue management and Medical Knowledge Base, equipped…), Ecommerce-Support-Agentic-RAG (Hybrid LLM and Agentic RAG Powered E-commerce Customer Support Chatbot built with Langchain, Pinecone Vector…) and AnomalyDetectionTimeSeriesData (Anamoly Detection in Time Series data of S&P 500 Stock Price index (of top 500 US companies) using Keras and…), mostly written in Jupyter, Python and C.

Projects 6

• github.com

  LLM-and-RAG-Powered-MedBot

  LLM and RAG suported Medical ChatBot based RASA Dialogue management and Medical Knowledge Base, equipped with Intelligent Query Routing, Sefety Validation, and Self-correction.

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  Ecommerce-Support-Agentic-RAG

  Hybrid LLM and Agentic RAG Powered E-commerce Customer Support Chatbot built with Langchain, Pinecone Vector DB, Rasa chatbot framework and, integrated with DeepSeek-r1

  github.com
• 

  AnomalyDetectionTimeSeriesData

  Anamoly Detection in Time Series data of S&P 500 Stock Price index (of top 500 US companies) using Keras and Tensorflow

  github.com
• github.com

  Named-Entity-Recognition-Using-LSTM-Keras

  bidirectional LSTM neural network model to recognize named entities in text data i.e. identify mentions of people, locations, organizations, etc.

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  Classify-Radio-Signals-from-outer-space-Keras

  This project classifies the radio signals recorded from Outer Space. The Convolution Neural Network(CNN) model is developed using keras library, and Tensorflow as back-end.

  github.com
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  TextSummarizationDeepLearning

  Text Summarization using Deep Learning in Python

  github.com