Open to opportunities

Nabil Khalfe

@nabilkhalfe

Message

I build production-scale AI systems, from RAG pipelines and agents to computer vision and full-stack ML applications.

India

Message

What I'm looking for

I'm looking to build and deploy AI products where I can apply RAG, agentic workflows, computer vision, and ML engineering while growing through hands-on research and cross-functional collaboration.

I've built production-scale AI systems spanning RAG middleware, autonomous agents, computer vision, and full-stack machine learning applications.

At Aortem.io, I designed and deployed RAG middleware using Redis and FAISS for enterprise chatbots, researched LLM optimisation strategies, and built autonomous agent architectures for real-time business analytics and anomaly detection.

My projects include a live DistilBERT sentiment-analysis app with 87% held-out accuracy, a multi-PDF RAG document Q&A system with GPT-4 citations, and an intelligent traffic management system using computer vision and DQN reinforcement learning.

I'm a dual-degree undergraduate in Applied AI & Data Science at IIT Jodhpur and Computer Engineering, with Anthropic and Oracle cloud AI certifications and hands-on work across AWS, OCI, Bedrock, Vertex AI, and modern LLM tooling.

Experience

Work history, roles, and key accomplishments

AI/ML Research Intern

Aortem.io

Jun 2024 - Aug 2024 (2 months)

Designed and deployed production-scale RAG middleware combining Redis and FAISS for enterprise chatbot systems, improving response accuracy and cutting retrieval latency. Researched prompt engineering techniques and LLM optimization strategies, and built autonomous AI agent architectures for real-time business analytics.