Priyankkaa
Generative AI Engineer | LLM Applications | RAG Systems
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About
Generative AI Engineer specializing in Retrieval-Augmented Generation (RAG), LLM applications, semantic search, and AI-powered document intelligence systems. Experienced in building and deploying production-style GenAI applications using FAISS, LangChain, Hugging Face, Groq, and vector search architectures. Skilled in prompt engineering, contextual retrieval optimization, hallucination reduction, and developing scalable AI workflows for enterprise and legal document intelligence.
Experience
Generative AI Engineer (Project-based) - Kolkata, India
(2025-01)
- Designed and deployed Retrieval-Augmented Generation (RAG) pipelines using FAISS, Hugging Face, Groq Llama 3, and semantic vector retrieval.
- Built end-to-end GenAI workflows including document ingestion, chunking, embeddings, semantic retrieval, grounded answer generation, and confidence-aware response systems.
- Developed production-style AI applications using Gradio and FastAPI with source-grounded document intelligence interfaces.
- Implemented prompt engineering and retrieval optimization techniques to improve contextual relevance and response quality.
Data Scientist (Internship) - Datamites - Bangalore, India
(2024-05 - 2024-10)
- Improved ML model accuracy by 15% through feature engineering and optimization techniques.
- Reduced churn prediction error by 10% using preprocessing and model tuning workflows.
Project Engineer – IT - Savronik Sistem India Pvt. Ltd - Gurudhronacharya, Gurugram India
(2019-09 - 2021-08)
- Enhanced SCADA system efficiency by 15% through optimized data workflows and automation solutions.
- Designed scalable enterprise data pipelines supporting real-time monitoring systems.
SAP ABAP Consultant - Ideal-E Info Solutions Pvt. Ltd - Lucknow, India
(2017-05 - 2019-08)
- Improved enterprise data integrity by 25% through automation and validation mechanisms.
PHP Developer - JTS Technologies Pvt. Ltd - New Delhi, India
(2015-12 - 2017-04)
- Developed scalable web applications improving operational efficiency and client satisfaction.
Education
MSc - Big Data Science - Queen Mary University of London (2021-09 - 2023-06)
BE - Computer Science - Dayananda Sagar Institutions (2011-08 - 2015-05)
