---
title: "Muralee Krishna - Senior AI Engineer in Dubai | Tal"
description: "Meet Muralee Krishna, Senior AI Engineer | Conversational AI & Voice Agents | LLM Systems, NLU/NLG & Production AI based in Dubai."
image: "https://tal.club/meet/muraleekrishna-h-s/share-image"
---

# Muralee Krishna on Tal

## Headline

Senior AI Engineer \| Conversational AI &amp; Voice Agents \| LLM Systems, NLU/NLG &amp; Production AI

## About

I’m a Senior AI Engineer focused on building conversational AI and voice\-agent systems that move from architecture to production\. At Teraleads, I lead technical work on AI\-powered voice agents: shaping system architecture, translating product needs into functional requirements, setting delivery milestones, mentoring engineers on NLU/NLG and dialogue management, and partnering with Product and UX on conversational flows\. Previously, at Ravenware, I helped take Auditwise\.com from proof of concept to production with GPT\-4\-powered insights\. I integrated generative models into Vue\.js 3/\.NET workflows, optimized data and inference pipelines, and strengthened testing and monitoring\. Reported outcomes include 25% higher user engagement, 40% lower average API response time, sub\-second inference across key workflows, and more than 99\.9% uptime\. Earlier work spans computer vision, GAN\-based video generation, model evaluation, AWS deployment, and AI research\. I also taught computer\-science courses at Queen Mary University of London, supporting 200\+ students across eight courses\. My work spans applied AI system design, LLM/NLP integration, NLU/NLG, data and inference pipelines, and full\-stack product delivery\. I enjoy making complex AI useful, reliable, and clear for the people who depend on it\.

## Location

Dubai

## Work experience

Senior AI Engineer at Teraleads, Jun 2025 \- Present · 1 yr 6 mos, Dubai, United Arab Emirates, • Lead technical design and delivery of AI\-powered voice agents, from system architecture through deployment\. • Translate product goals into functional requirements and sprint milestones; mentor engineers on NLU/NLG and dialogue management\. • Partner with Product and UX to refine conversational flows and deliver a seamless end\-user experience\.

Founder at Psypher AI, Oct 2024 \- Present · 2 y 1 mo, India

Lead AI Engineer at Ravenware Ltd, May 2023 \- May 2025 · 2 yrs 1 mo, North Yorkshire, • Led Auditwise\.com from proof of concept to production, integrating GPT\-4\-powered insights associated with a 25% increase in user engagement\. • Integrated generative transformer workflows into Vue\.js 3/\.NET, enabling sub\-second inference across key workflows\. • Optimized data pipelines and inference services, reducing average API response time by 40%\. • Strengthened testing, monitoring, and performance practices to support more than 99\.9% uptime\.

Computer Vision Researcher at Humans\.ai, Jan 2023 \- Feb 2023 · 2 mos, Greater London, • Developed a scalable video\-generation pipeline using GANs and NFTs, achieving a 15% improvement in content realism scores\. • Researched and implemented advanced video\-data analysis techniques to streamline model training by 30%\. • Optimized resource utilization in PyTorch, reducing GPU costs by 20% while maintaining quality benchmarks\.

ML Research Scientist at TMC2 Global Limited, Oct 2022 \- Jan 2023 · 4 mos, Greater London, • Delivered face\-recognition models with &gt;95% accuracy using Amazon Rekognition, FaceX, DeepFace, and Dlib/C\+\+\. • Applied GAN\-based data augmentation to increase model robustness, reducing false\-positive rates by 18%\. • Rapid\-impact consultant: led audio\-preview generation from the Million Song Dataset, accelerating prototype delivery by 6 weeks\. • Presented research to stakeholders and deployed production models on AWS, ensuring secure, scalable operation\.

Teaching Assistant at Queen Mary University of London, Sep 2021 \- Sep 2022 · 1 yr 1 mo, London, England, United Kingdom, • Led tutorials and labs for 8 CS courses, mentoring 200\+ students in Python, C/C\+\+, Java, Django, HTML/CSS, and JavaScript\. • Crafted clear, consistent Jupyter\-notebook materials and status reports that improved student engagement by 40%\. • Acted as liaison between faculty and students, refining course content and feedback loops\.

## Education

Masters, Artificial Intelligence, Queen Mary University of London

Bachelor's degree, Computer Science, APJ Abdul Kalam Technological University

[View the original profile](https://tal.club/meet/muraleekrishna-h-s)

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