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HariN999/README.md

πŸ‘‹ Hi, I'm Hariharan Narlakanti

πŸš€ AI Engineer | Backend Developer | Software Engineer

I build AI-powered applications with a focus on NLP, FastAPI, LLMs, and scalable backend systems. I enjoy turning research ideas into production-ready software.


πŸš€ About Me

  • πŸŽ“ B.Tech in Artificial Intelligence & Machine Learning
  • πŸ’» Preparing for Software Engineering & AI Engineer roles
  • πŸ€– Interested in NLP, Generative AI, and LLM applications
  • ⚑ Building production-ready AI systems with FastAPI and React
  • πŸ“ Hyderabad, India

🌟 Featured Projects

πŸ“° Saaram β€” Telugu News Summarization & Speech

An AI-powered Telugu news summarization system featuring:

  • 🧠 Morphology-aware TF-IDF summarization
  • πŸ€– Transformer-based mT5 summarization
  • ⚑ Adaptive runtime inference router
  • πŸ”Š Telugu neural Text-to-Speech
  • 🌐 React frontend + FastAPI backend
  • 🐳 Deployed on Hugging Face Spaces & Vercel

Research:
Saaram: Resource-Aware Telugu News Summarization with Morphology-Aware TF-IDF and mT5
Submitted to CIS 2026 (Springer LNNS).

➑️ Repository: Saaram-telugu-summarizer


πŸ”¬ ResearchCompass

AI-powered research assistant for:

  • Research gap discovery
  • Novelty assessment
  • Paper reasoning
  • Implementation guidance

Built using FastAPI, React, and LLM APIs.


πŸ› οΈ Tech Stack

Languages

  • Python
  • Java
  • JavaScript
  • SQL

AI / ML

  • Hugging Face Transformers
  • PyTorch
  • Scikit-learn
  • NLP
  • GenAI

Backend

  • FastAPI
  • REST APIs
  • Pydantic

Frontend

  • React
  • Vite
  • Tailwind CSS

Databases & Tools

  • Git
  • GitHub
  • MongoDB
  • Docker
  • Postman

πŸ“š Currently Learning

  • Data Structures & Algorithms
  • LangChain
  • Retrieval-Augmented Generation (RAG)
  • LLM Application Development
  • AI System Design

🎯 Career Goal

To build reliable AI systems that combine research with practical software engineering, specializing in NLP, backend development, and intelligent applications.


πŸ“« Connect With Me

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  1. Saaram-telugu-summarizer Saaram-telugu-summarizer Public

    Full-stack AI application for Telugu text summarization using TF-IDF and mT5, with optional speech generation via TTS.

    Python 2

  2. ResearchCompass ResearchCompass Public

    AI-powered research reasoning agent for research gap discovery, novelty assessment, and implementation guidance.

    Python 1

  3. AgroAid AgroAid Public

    AgroAid is a web-based tool designed to help farmers detect crop diseases through deep learning. By uploading an image of a plant leaf, users can get predictions about potential diseases. The tool …

    HTML 1

  4. SocialeX SocialeX Public

    SocialeX is a modern, full-stack social media application that enables real-time chat, post sharing, story updates, and secure authentication. It’s built using the MERN stack (MongoDB, Express, Rea…

    JavaScript

  5. VoiceVibes VoiceVibes Public

    A Flask-based web application that uses a pre-trained CNN model for voice prediction. Provides an interactive web interface to analyze and process voice inputs easily.

    Python

  6. Smart-FAQ Smart-FAQ Public

    Full-stack AI semantic search platform built with FastAPI, React, MongoDB, and SentenceTransformers.

    JavaScript