cv
Basics
| Name | Ajay Gopi |
| ajaynaidu96@outlook.com | |
| Url | https://ajay-naidu-96.github.io |
| Summary | ML engineer with 5 years of production experience deploying inference pipelines at scale: 1,000+ edge deployments, real-time multi-stream CV on constrained hardware, safety-critical alerting systems. Graduate researcher at RIT focused on efficient inference and causal generative modeling. ICLR 2026. One of two merit scholarship recipients from a cohort of 25. |
Work
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2025.08 - Present -
2024.08 - 2025.05 -
2019.08 - 2024.08 -
2018.07 - 2019.01
Education
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2024.08 - 2026.08 NY, USA
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2014.06 - 2018.06 Bangalore, India
Publications
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Bias Propagation and Mitigation in Deep Generative Models with Attribute Correlations.
Under review — leading peer-reviewed journal
Certificates
| Jetson AI Specialization | ||
| NVIDIA | 2021-08-01 |
Skills
| ML Systems & Inference | |
| Production inference pipelines | |
| LLM inference | |
| TensorRT | |
| INT8 / FP16 quantization | |
| Knowledge distillation | |
| Structured pruning | |
| DeepStream SDK | |
| Edge deployment at scale |
| Computer Vision | |
| Object detection | |
| Object tracking | |
| Pose estimation | |
| OpenCV | |
| YOLOv5 |
| Research & Generative Models | |
| Causal Inference | |
| Generative Adversarial Networks | |
| Diffusion | |
| Posit arithmetic | |
| Transformers |
| Hardware & Systems | |
| NVIDIA Jetson | |
| C++ | |
| Python | |
| Linux | |
| Docker | |
| Microsoft Azure |
Languages
| English | |
| Full professional proficiency |
| Telugu | |
| Native |
| Kannada | |
| Native |
Interests
| ML Systems & LLM Inference | |
| LLM inference optimization | |
| Distributed inference | |
| Hardware-aware model design | |
| Edge accelerator development | |
| ML Compilers |