Aasif Multani

Background

About Aasif Multani

Principal AI Engineer | Generative AI & LLM Specialist | Full-Stack AI & LLMOps EngineerPerformance-focused AI leader with 10+ 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 fintechThese 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-retrainingAs 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, MySQL, and S3, enabling high-throughput agent memory and embedding-based retrieval. I also create real-time dashboards and alerts in Kibana for observability and drift monitoring. What I bring:* 🤖 Deep LLM experience: GPT-4, Claude, Gemini, Ollama, vLLM* 🧠 Agentic frameworks: LangGraph, CrewAI, OWL, Camel* 🧩 Full-stack infrastructure: Flask, FastAPI, Docker, CI/CD, AWS Lambda* Evaluation & tuning: Langfuse, LangSmith, SFT, RAG, embedding optimization* End-to-end ownership: from problem scoping to production rollout If you're building next-gen AI copilots, LLM agents, or personalized intelligence systems and need leadership that bridges R&D and production let’s connect!