Machine Learning and Product Development Engineer at Pixlr | AI Engineer @ Scale AI | Data Science Intern @ Alphaa ai
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I’m a Machine Learning Engineer with 1.5+ years of experience building production-grade generative AI pipelines, with a focus on diffusion models, real-time inference, and cloud-scale deployment. My background combines deep technical skill in ML model optimization, image/video generation, and distributed system design.
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Core Skillset:
- ML & Deep Learning (PyTorch, TensorFlow, Hugging Face)
- Generative AI (Stable Diffusion, IP-Adapter, LoRA fine-tuning)
- Scalable Inference (Ray Serve, Docker, AWS, FastAPI)
- Applied Research & Production Deployment
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Career Highlight: At Pixlr, I led the development of a high-scale image editing pipeline serving 10M+ users, optimizing inference time by 70% using custom LoRA-based fine-tuning, last-layer distillation, and model chaining techniques.
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I'm passionate about pushing the boundaries of AI with efficient, real-time ML systems and collaborating across product and research teams to turn complex models into tangible experiences.
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Let’s connect if you’re working on cutting-edge ML/AI infrastructure or building real-world applications with generative models!
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📫 How to reach me [email protected]
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📄 To know more about my experience: Resume Link
