Aasif Multani

👨‍💻 Principal AI Engineer | Generative AI & LLM Specialist | Full-Stack AI & LLMOps Engineer Performance-focused AI leader with 11+ years of hands-on experience architecting and scaling advanced AI systems using LLMs, Generative AI, and full-stack ML engineering. My work spans high-impact domains including Fintech, Healthcare, EdTech, Telecom, Recruitment, and Cybersecurity. I specialize in designing intelligent systems that enable personalization, automation, and real-time decision-making at scale. 🚀 Over the last six years, I led the design and implementation of a unified, multi-domain GenAI platform that powers: * 🤖 Agentic AI chatbots for recruitment and enterprise support * 📚 LLM-based learning assistants for EdTech * 🏥 Clinical summarization and decision-support tools for healthcare * 💳 Risk analysis and fraud detection systems for fintech These systems are built on multi-agent orchestration using LangGraph, CrewAI, Camel, and OWL, and run on optimized inference stacks using Ollama and vLLM for cost-efficient, low-latency deployment. I design multi-tier model fallback strategies (GPT-4 → Claude → local LLMs) to ensure optimal performance and cost control. 🛠 From architecture and infrastructure to tuning and iteration, I own the full LLM lifecycle: ✍️ Prompt engineering for domain-specific personalization * 🔍 RAG-based semantic search and hybrid retrieval * 📊 Evaluation pipelines using LangSmith and Langfuse * 🛡️ Guardrails for response validation, filtering, and safety control * 🔁 Feedback loops with human-in-the-loop training and auto-retraining As a full-stack AI engineer, I build scalable APIs using Flask, FastAPI, Django, containerize with Docker, and automate workflows. 🧱 On the data engineering side, I design ingestion and processing pipelines manage data across ElasticSearch, Kafka (KSQL), MongoDB