Meer Ismail Ali

Built a Retrieval-Augmented Generation pipeline using Ollama (LLaMA 3) for local LLM inference with privacy-preserving NLP processing.

Integrated

Milvus vector database enabling scalable embedding retrieval with sub-100ms similarity search latency. Developed document ingestion pipeline using LangChain (chunking, embeddings, loaders) for semantic indexing across large datasets.

RAG System Development Engineer Intern at Agility E-Services (2024-05 – 2024-07)

• Built a Retrieval-Augmented Generation pipeline using Ollama (LLaMA 3) for local LLM inference with privacy-preserving NLP processing.
• Integrated Milvus vector database enabling scalable embedding retrieval with sub-100ms similarity search latency.
• Developed document ingestion pipeline using LangChain (chunking, embeddings, loaders) for semantic indexing across large datasets.
• Optimized retrieval parameters reducing average response time by 40%.

Full Stack Developer at Pedes IEEE Conference Website – NITK (2023-08 – 2024-02)

• Developed production Django web platform supporting 25k+ users with secure event registration workflows.
• Built responsive UI using Tailwind CSS and JavaScript improving accessibility across devices.
• Implemented CI/CD pipelines using Jenkins enabling automated testing and zero-downtime deployments.
• Designed optimized MySQL schemas via Django ORM for event data management and analytics.

B.Tech. in Electronics and Communication Engineering – National Institute of Technology, Karnataka (2021-12 – 2025-07)

High School – International Indian School, Riyadh (2021)