نبذة عني
MCA graduate with hands-on experience in building RAG pipelines, multi-agent AI systems using LangGraph, and end-to-end Generative AI applications. Proficient in Python, LangChain, OpenAI GPT, and FAISS, with a strong un…
MCA graduate with hands-on experience in building RAG pipelines, multi-agent AI systems using LangGraph, and end-to-end Generative AI applications. Proficient in Python, LangChain, OpenAI GPT, and FAISS, with a strong understanding of LLM integration, vector databases, and AI automation. Seeking an entry-level AI Engineer role to apply my technical skills, solve real-world problems, and contribute to developing innovative AI-powered solutions.
الخبرة
AI/ML Intern
<p>Developed an end-to-end AI system to automate insurance claim validation using RAG-based document retrieval.</p><p> Reduced manual claim review time by ~70% by automating document retrieval and validation using RAG + FAISS.</p><p> Improved claim verification accuracy by ~85% through LangChain + GPT-based reasoning pipeline.</p><p> Implemented FAISS vector search to extract relevant policy and medical document sections for claim verification.</p><p> Built a Flask-based backend to process uploaded documents and generate validation summaries.</p><p> Ensured data preprocessing, embedding generation, retrieval, and reasoning pipelines worked in real time.</p>
المشاريع
Ai powered helth insurance validation system
<p>Developed a Generative AI-powered Insurance Claim Validation system using Python, RAG (Retrieval-Augmented Generation), and LLMs to automate claim verification and improve accuracy. The application analyzes insurance claim documents, retrieves relevant information from a knowledge base, and uses AI to validate claims against predefined policies. Integrated vector search using FAISS to enable efficient document retrieval and context-aware responses. The project aims to reduce manual review efforts, improve claim processing efficiency, and support faster, more consistent insurance claim assessments.</p>