Jay Lal Email & Phone Number

tldr; Result-oriented ML Engineer with 5 years of combined Industry and Research experience in Natural Language Processing (NLP), Computer Vision, Gen AI applications with expertise in engineering production-level ML solutions for cloud & mobile.Currently I'm a Graduate Research Assistant at University at Buffalo, where I have led and contributed to several innovative and impactful research projects in the fields of Computer Vision and Natural Language Processing, using state-of-the-art techniques such as Large Language Models and Generative AI. Some of my notable achievements include developing a RAG-based LLM system for biomedical research, improving multi-modal chart retrieval and data extraction, and creating robust action recognition in soccer videos and publications in international conferences.Before joining UB, I worked as a Machine Learning Engineer at Karza Technologies and a Computer Vision Engineer at Artivatic.ai, where I applied my skills and expertise to improve OCR accuracy, implement information extraction, and develop an automated financial statement analysis system from PDFs/Images. I also optimized and secured several deep learning models for GPU serving in production, increasing throughput and reducing latency by 15%. I have an MS in Computer Science from UB and am proficient in Large Language Models, Applied Machine Learning, Generative AI, and Computer Vision. I am looking for full-time opportunities, where I can leverage my AI/ML research and engineering skills to create value and solve real-world problems. I am passionate about learning new technologies and techniques, and collaborating with diverse and talented teams.

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  Role listed

  Opencv

  California, United States