
mukhtiar ahmed
Sukkur, Pakistan
mukhtiar ahmed
Machine Learning Engineer | Generative AI
Category : Artificial intelligence (AI)
I am a Machine Learning Engineer and aspiring Generative AI specialist with a focus on building production-ready AI systems. Currently pursuing a BS in Software Engineering at Sukkur IBA, I combine technical expertise with a structured approach to problem-solving.
My expertise includes:
- Machine Learning Development: I successfully built CineMatch AI, where I utilized Random Forest models to achieve 85.5% accuracy and a 0.94 AUC in
predicting movie success.
- Generative AI & Prompt Engineering: I developed the Persona Prompt Generator, a Streamlit application that simplifies complex AI interactions using a
structured Role → Task → Tone framework.
- Multi-Agent Systems: I have experience simulating Multi-Agent Systems for real-time health data collection and automated AI analysis.
- Technical Documentation: I excel at breaking down technical logic into clear, copy-paste-ready instructions and high-quality prompts.
I am dedicated to delivering high-quality, transparent AI solutions and am proficient in handling real-world data challenges, including model evaluation and ensemble learning.
My expertise includes:
- Machine Learning Development: I successfully built CineMatch AI, where I utilized Random Forest models to achieve 85.5% accuracy and a 0.94 AUC in
predicting movie success.
- Generative AI & Prompt Engineering: I developed the Persona Prompt Generator, a Streamlit application that simplifies complex AI interactions using a
structured Role → Task → Tone framework.
- Multi-Agent Systems: I have experience simulating Multi-Agent Systems for real-time health data collection and automated AI analysis.
- Technical Documentation: I excel at breaking down technical logic into clear, copy-paste-ready instructions and high-quality prompts.
I am dedicated to delivering high-quality, transparent AI solutions and am proficient in handling real-world data challenges, including model evaluation and ensemble learning.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- 🇬🇧 English
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