Rishabh Uppal — Software Engineer
As an experienced product-oriented engineering leader in applied machine learning; I specialize in delivering product quality and value using ML systems. Presently, ML Tech Lead of Conversational Intelligence team dedicated to generating business insights from unstructured conversational data using LLMs. Team specializes in prompting, fine-tuning latest Gemini models, enhancing quality and building serving infrastructure for Gemini models in SalesPlatform within Google Ads org. Earlier at google, I led a team that built data validation framework and developed complex high-performant data pipelines within Google Ads org. Before joining Google, I worked as an Algorithmic Trader at Tower Research Capital, where I built trading desks from ground up, led trading initiatives in new markets and mentored junior engineers and traders. At Tower, I developed predictive models used in high frequency and ultra-low latency trading strategies.
Stackforce AI infers this person is a Machine Learning Engineering expert with a strong background in Fintech and SaaS.
Location: Palo Alto, California, United States
Experience: 17 yrs 6 mos
Skills
- Machine Learning
- Ml Infrastructure
- Data Analysis
- Data Quality
- Algorithms
- Quantitative Finance
- Trading Strategies
Career Highlights
- Expert in machine learning systems and infrastructure.
- Led high-performance data pipeline development.
- Built predictive models for trading strategies.
Work Experience
Software Engineer (4 yrs 7 mos)
Rippling
Software Engineer (3 mos)
Tower Research Capital
Algorithmic Trader (12 yrs 8 mos)
IBM
Summer Intern (2 mos)
Center for High Performance Software Research (HiPerSoft), Rice University
Summer Research Intern (2 mos)
School Of Informatics, University of Edinburgh
Summer Intern (2 mos)
Education
B Tech - MTech Dual at Indian Institute of Technology, Kanpur
