
Siddhant Tripathi
Engineering / Architecture
About Siddhant Tripathi:
AI Engineer with 2+ years of experience developing production-grade machine learning systems, custom LLM solutions, and scalable SaaS applications. Specialized in deep learning model architecture, training, and deployment at scale, with expertise in computer vision, NLP, autonomous systems, and predictive analytics. Skilled at evaluating and enhancing the quality of LLMs and AI pipelines, ensuring accuracy, efficiency, and reliability. Experienced in modern development practices including CI/CD automation, cloud infrastructure management, and end-to-end ML workflows.
Experience
I have 2 yrs+ work experience and hold STEM OPT valid till March 2028.
I am currently working as a Software Engineer at LifeStages, a tech startup in healthcare space.
During my Data Analyst Internship at Thales Group, I was part of a team to develop a predictive model for aircraft maintenance where I performed data analysis and processing, crafting detailed reports to distill complex data into clear, actionable insights.
My Research Internship at the Center of AI and Research DRDO, India was centered on autonomous navigation vehicles.
I have also worked for an app to improve patient diagnostics by speech to text conversion during case history and probable diagnosis suggestion using some LLMs etc.
Education
I have completed his MS, Computers with focus on ML from Santa Clara University (Dec 2024).
My projects include the development of a small-scale social media platform, implementing a peer-to-peer file-sharing system and a lane/object detection system.
These projects utilized languages like Python, C++, and Java, full-stack development in Flutter, Javascript.
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