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Ahmed YounasAY
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Ahmed Younas

@ahmedyounas

Full Stack AI Engineer at Supportiyo LTD, building SaaS features and real-time VoiceAI workflows for customer interactions.

Pakistan
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At Supportiyo LTD, I built and improved core features across a SaaS platform’s frontend, backend, AI layer, integrations, and infrastructure. I developed real-time VoiceAI workflows using Twilio, Deepgram, OpenAI, and ElevenLabs, and implemented AI agent workflows with function calling and external service integrations.

I also built a production text-to-video platform for a client, automating research, script generation, voiceover, image generation, and video rendering. I’m currently building FlySimple, a travel search platform for flights, hotels, car rentals, and other travel services.

Experience

Work history, roles, and key accomplishments

SL

Full Stack AI Engineer

Supportiyo LTD

Jan 2025 - May 2026 (1 year 4 months)

Built and improved core product features across frontend, backend, AI layer, integrations, and infrastructure of a SaaS platform. Engineered automated customer interactions using real-time VoiceAI and implemented AI agent workflows with function calling and tool execution.

Education

Degrees, certifications, and relevant coursework

FAST – National University of Computer and Emerging Sciences logoFS

FAST – National University of Computer and Emerging Sciences

Master of Science, Artificial Intelligence

2026 -

Pursuing a Master of Science in Artificial Intelligence, expected to continue from August 2026.

FAST – National University of Computer and Emerging Sciences logoFS

FAST – National University of Computer and Emerging Sciences

Bachelor of Science, Computer Science

2021 - 2026

Grade: 3.11 / 4.00

Activities and societies: Deputy Head, Robo Rumble, SOFTEC; Media Coordinator, IEEE NUCES Lahore; Fundraising Volunteer; Academic Recognitions and Dean's Lists; Participant in NASCON Web Development Competition 2024 and Devsinc Devathon 2024; IEEE Student Member Dec 2024 to Dec 2025.

Completed a Bachelor of Science in Computer Science with a focus on Robotics and Automation, achieving a CGPA of 3.11 out of 4.00.

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