Manogyna Annapareddy
I’m a Computer Science (AI & ML) graduate from Hyderabad with hands-on experience building AI-powered applications focused on intelligent document processing, retrieval-augmented generation (RAG), and data analysis.
About
I’m a Computer Science (AI & ML) graduate from Hyderabad with hands-on experience building AI-powered applications focused on intelligent document processing, retrieval-augmented generation (RAG), and data analysis. I enjoy turning real-world requirements into working systems by combining LLMs, vector search, and API-driven services that can answer questions and help users through documents.
I’ve worked on developing a multilingual citizen guidance system using FastAPI and RAG with semantic retrieval, and I’ve also built ML applications like stroke prediction and log anomaly detection. I’m now continuing to strengthen my skills in LLM pipelines, semantic search, OCR/document workflows, and full-stack integration so I can contribute to innovative AI projects while learning continuously.
- Joined October 2026
Industry experience
- Government
- Software & Internet
- Education
- Computers & Electronics
Work experience
Developing an AI-powered multilingual citizen guidance system using Hugging Face models, FastAPI, RAG, ChromaDB, and open-source LLMs for intelligent document assistance and voice interaction. Optimizing retrieval pipelines using semantic search and vector embeddings to improve document retrieval precision. Documenting AI workflows including OCR and intelligent document-processing systems, and building full-stack applications with REST APIs and PostgreSQL for structured data handling. Collaborating with the technical team to integrate Flask, PostgreSQL, and AI/ML workflows into document-processing applications to meet deliverables.
Education
Certifications and awards
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