johnzakkam
AI/ML engineer in Hyderabad seeking freelance, consulting, part-time, or full-time work focused on model optimization, quantization, deployment, and inference efficiency.
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Location: Hyderabad, India Remote: Yes Willing to relocate: Yes Technologies: Python, PyTorch, ONNX, ONNX Runtime, quantization, QDQ, INT8/INT4, model compression, calibration, accuracy recovery, computer vision, LLM fine-tuning, LoRA/QLoRA, evaluation pipelines, Docker, Linux Résumé/CV: Available on request Email: [email protected] AI / ML engineer focused on model optimization, quantization, and deployment. I help teams take models from “works in research” to “runs efficiently in production.” My work includes PyTorch to ONNX export/debugging, INT8/INT4 quantization, calibration, accuracy recovery after compression, latency/memory benchmarking, and fine-tuning/evaluation workflows. Best fit: startups or teams with ML/AI models that are too slow, too expensive to serve, hard to deploy, or losing accuracy after quantization/compression. Interested in freelance, consulting, part-time, or full-time opportunities around model optimization, edge AI, inference efficiency, and applied ML systems.
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