At INOTECH Solution, I design, develop, and deploy AI systems for real-time production applications. I work on data preprocessing, feature engineering, and model optimization, and contribute to internal AI research and ethical model development.
I built ZAR1, a 16.16B-parameter multilingual language model, using depth-upscaled Qwen3-14B and distributed training across three NVIDIA A10 GPUs. I also domain-adapted ZAR2, an 8B-parameter cybersecurity model, leading its dataset engineering, fine-tuning, evaluation, optimization, and deployment.
My projects include an autonomous smart cart that won first place at the NUML Open House, a multi-modal deepfake-detection platform, and a 12-agent cybersecurity threat-detection system. I hold a BS in Artificial Intelligence from NUML and am pursuing an MS in Artificial Intelligence at Bahria University.
