Experienced machine learning engineer with a passion for artificial intelligence, coding since age 12. Began working in the AI industry at 15, demonstrating early career initiative. Alumni of innovative programs TKS and LaunchX. Committed to solving complex problems to create positive global impact. Self-motivated, entrepreneurial engineer with strong problem-solving skills and rapid learning ability. And love sharing knowledge and teaching coding in free time through YouTube.
* Finetuned & Tested Diffusion models with techniques like Dreambooth, LoRA to create a personalize models for users
* Implemented a SDXL fine-tuning approach in order to achieve a 40% increase in user save rates to improve customer satisfaction
* Managed, MLOps for finetuning Stable Diffusion models. Built parallel and batch inference in order to make the generation process faster by 2x.
* Built an React App for Evaluating Different Stable diffusion models for AB Testing.
* Contributed in Image & Headshots Evaluation pipeline:
(a) Trained AI classifier to detect Ai images
(b) Built glare detector to identify glare on glasses
(c) Researched new image similarity metric
* worked with senior engineers in designing and testing TTS & voice cloning system.
* Tested & evaluated different TTS models like Tortoise-tts, TransformerTTS, etc.
* Contributed on Paper Implementation of Nancy++
https://www.youtube.com/watch?v=fiDaAc7z_kQ&t=1s