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I am an AI Engineer with hands-on experience deploying multi-agent orchestration systems, agentic AI frameworks, and large-scale machine learning pipelines in production. I’ve built robust AI services and orchestration frameworks to automate complex workflows across teams and domains. I specialize in integrating LLMs, prompt engineering, and scalable AI architectures with a rapid prototyping mindset. I’m a collaborative team player who thrives in ambiguity, and I hold an MSc in Artificial Intelligence with Distinction from Royal Holloway, University of London.…I am an AI Engineer with hands-on experience deploying multi-agent orchestration systems, agentic AI frameworks, and large-scale machine learning pipelines in production. I’ve built robust AI services and orchestration frameworks to automate complex workflows across teams and domains. I specialize in integrating LLMs, prompt engineering, and scalable AI architectures with a rapid prototyping mindset. I’m a collaborative team player who thrives in ambiguity, and I hold an MSc in Artificial Intelligence with Distinction from Royal Holloway, University of London.

Abhishek Gangani

AI Engineer, AI Developer, Data Scientist, +2

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I am an AI Engineer with hands-on experience deploying multi-agent orchestration systems, agentic AI frameworks, and large-scale machine learning pipelines in production. I’ve built robust AI services and orchestration frameworks to automate complex workflows across teams and domains. I specialize in integrating LLMs, prompt engineering, and scalable AI architectures with a rapid prototyping mindset. I’m a collaborative team player who thrives in ambiguity, and I hold an MSc in Artificial Intelligence with Distinction from Royal Holloway, University of London.…I am an AI Engineer with hands-on experience deploying multi-agent orchestration systems, agentic AI frameworks, and large-scale machine learning pipelines in production. I’ve built robust AI services and orchestration frameworks to automate complex workflows across teams and domains. I specialize in integrating LLMs, prompt engineering, and scalable AI architectures with a rapid prototyping mindset. I’m a collaborative team player who thrives in ambiguity, and I hold an MSc in Artificial Intelligence with Distinction from Royal Holloway, University of London.

Available to hire

I am an AI Engineer with hands-on experience deploying multi-agent orchestration systems, agentic AI frameworks, and large-scale machine learning pipelines in production. I’ve built robust AI services and orchestration frameworks to automate complex workflows across teams and domains.

I specialize in integrating LLMs, prompt engineering, and scalable AI architectures with a rapid prototyping mindset. I’m a collaborative team player who thrives in ambiguity, and I hold an MSc in Artificial Intelligence with Distinction from Royal Holloway, University of London.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Founding AI/ML Engineer at CybPass Limited

September 1, 2025 - Present

Designed and built production LangChain-based multi-agent system using a supervisor orchestration framework to automate complex workflows, implementing novel agent coordination algorithms for scalable autonomous decision-making. Deployed AI services in dockerized environments with CI/CD pipelines, implementing large-scale training and inference systems with robust evaluation frameworks. Developed a hybrid mechanism combining a fine-tuned distilled LLM (Qwen) with an RL-based optimiser for iterative improvements, demonstrating deep integration of reinforcement learning with large language models.

AI Agent Developer at RNDM

November 1, 2024 - January 31, 2026

Built and operated agentic frameworks using MCP servers, LangChain, and OpenAI integrations, implementing multi-step orchestrated agent workflows with autonomous decision-making capabilities. Wrote modular, scalable software to implement research ideas and iterate quickly across multiple concurrent workstreams, collaborating effectively in fast-paced team environments. Integrated OpenAI APIs, embeddings, and semantic search capabilities for contextual understanding and response generation.

ML Research Assistant at RHUL

March 1, 2024 - August 31, 2024

Designed, implemented, trained, and evaluated deep neural networks for voice-based diabetes detection, achieving 82% accuracy through systematic experimentation and model architecture innovation. Built structured experimental frameworks to manage model performance tracking across multiple iterations, implementing rigorous evaluation protocols and reproducible research methodologies.