Owns the ML serving and data platform: 20 vision models, 8 million predictions a day, p95 27.2 s → 1.25 s. 2 million messages a day from 5K+ IoT devices.
OwlSense social-media intelligence on a multi-agent harness with local LLMs. 23× faster LLM inference; one serving layer for 100K+ requests a day, $50K a year saved.
Challenges and opportunities of deep learning for app interface design. ICT Endowment Research & Development Funds award.
ArcFace face recognition on TensorRT 8 in TensorRTX (Aug 2022), plus MLP examples in TensorRTX and PytorchX (Jan 2022). PyCon speaker.
Real-time video analytics across 100+ cameras, models running in parallel into one decision layer. +50% FPS from custom DeepStream plugins.
AI detection on 450-megapixel satellite images, 95% accurate on objects under 10 pixels, with 80% less analysis time. Mission-critical work under strict security limits.
Graduated top of the programme with the Gold Medal, CGPA 4.0 / 4.0. Before that, BS Computer Science at the University of Gujrat with the Top Project award.
Cut p95 latency in production from 27.2 seconds to 1.25.
20 vision models on shared GPUs, serving 500+ devices in the field.
Cut peak VRAM on the same workload and ended a recurring crash.
One shared serving layer for over 3 million requests a month, on far less cloud compute.
AI detection on satellite images, each the size of 217 Full HD screens.