Headline

Senior AI Engineer | Conversational AI & Voice Agents | LLM Systems, NLU/NLG & 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 >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