Athar Parvez
Hi, I’m Athar Parvez, an AI engineer focused on LLM fine-tuning, multimodal systems, and production-grade MLOps.
About
Hi, I’m Athar Parvez, an AI engineer focused on LLM fine-tuning, multimodal systems, and production-grade MLOps. I enjoy building scalable AI pipelines, designing generative AI workflows, and delivering real-time ML systems across finance, mobility, and UI automation.
I love deploying optimized models for cloud and edge environments, enabling private on-device processing and fast inference. I collaborate with cross-functional teams to ship reliable AI products and stay ahead of evolving AI safety and efficiency challenges.
- 5 years' experience
- Joined August 2025
Industry experience
- Education
- Financial Services
- Software & Internet
- Healthcare
- Professional Services
- Computers & Electronics
- Media & Entertainment
- Other
- Transportation & Logistics
Work experience· 11 roles
Designed and deployed a multimodal deep learning system integrating vision and audio models to monitor user engagement, boosting inference speed by 40% on edge devices. Reduced latency and memory footprint by 35% through TensorFlow Lite and ONNX optimization for on-device inference, enabling fully private, real-time processing.
Designed and deployed a multimodal DL system integrating vision and audio models to monitor user engagement; boosted edge inference speed and reduced latency/memory footprint by leveraging TensorFlow Lite and ONNX for on-device private, real-time processing.
Engineered a churn-prediction pipeline with 40+ features across 20K+ customer records; trained XGBoost and LSTM achieving 92% accuracy, enabling targeted retention campaigns that reduced churn risk.
Education· 10
Certifications and awards· 24
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