Sourabh Agrawal

Co-Founder

San Francisco, California, United States10 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Co-founded multiple successful AI startups.
Expert in integrating AI into healthcare solutions.
Developed innovative fitness technology using computer vision.

Stackforce AI infers this person is a Healthcare and AI technology innovator with a strong background in Fintech and Automotive sectors.

Contact

Skills

Core Skills

Healthcare TechnologyAi IntegrationLlm EvaluationOpen Source DevelopmentAi DevelopmentFitness TechnologyComputer VisionAutonomous DrivingMachine LearningQuantitative Analysis

Other Skills

Revenue Cycle ManagementHospital Revenue CycleGenerative AIArtificial Intelligence (AI)

About

I am an expert at using technology to help people and improve their lives. I am currently building CombineHealth where we are developing AI workers to revolutionize the healthcare industry and give back the time to clinicians to look after their patients. Before this, I have built UpTrain - an open-source platform to evaluate and improve LLM applications. Before UpTrain, I co-founded Insane AI - an AI-powered fitness app where we brought the power of personal training and the fun of gamified workouts onto mobile phones using computer vision and motion tracking. Before starting up, I had worked in investment banking and autonomous driving industries. I am hiring across engineering, sales, and ML roles. If interested, please check out - https://www.combinehealth.ai/

Experience

10 yrs 7 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 11 mos

Current Experience

Combinehealth

Co-Founder

May 2024 – Present · 1 yr 11 mos · San Francisco Bay Area

Combining human expertise with AI advancements to revolutionise Healthcare

Revenue Cycle ManagementHospital Revenue CycleHealthcare TechnologyAI Integration

Uptrain

Co-Founder

Aug 2022 – May 2024 · 1 yr 9 mos · San Francisco Bay Area

An open-source LLM evaluation and testing tool. We are working with some of the most innovative LLM companies globally, and we're hiring!
Try it out: https://github.com/uptrain-ai/uptrain
Learn more: https://uptrain.ai/

LLM EvaluationOpen Source Development

Insane ai

Co-Founder

Mar 2020 – Jul 2022 · 2 yrs 4 mos · Bengaluru, Karnataka, India

VC-backed AI-Powered Fitness App. At Insane AI, we were combining the power of Computer vision and Augmented Reality to build the best-in-class fitness experiences and motivate people to become their best selves.
Being a founder, wore multiple hats across product, engineering & marketing and looked after all things Product and Machine Learning. Built state-of-the-art computer vision algorithms to track exercises done by the user, analyze their posture, and award them scores based on their intensity. Scaled the product to 150k+ users while growing the team to 20+ members.

AI DevelopmentFitness Technology

Fast code ai

AI Consultant

Jul 2019 – Mar 2020 · 8 mos · Bengaluru, Karnataka, India

Consulted Bosch and Mercedes on their Autonomous Driving projects:
a. Helped them develop real-time computer vision algorithms for scene understanding, object detection, and traffic sign classification.
b. Reduced Quality Check costs by 60% by incorporating statistical measures and active learning techniques.
c. Worked with the senior team to design and manage the entire project of an in-house self-driving kart that can operate autonomously on their campus.
d. Took several sessions to upskill their internal machine learning team.

Computer VisionAutonomous Driving

Goldman sachs

Quantitative Researcher

Jun 2015 – May 2019 · 3 yrs 11 mos · Bengaluru, Karnataka, India

Worked extensively on Foreign Exchange (FX) markets: building Machine learning models to help desk make better trading decisions, compare risk management strategies, develop derivatives pricing models, etc.
1. Developed and rolled out Monte Carlo pricing models for the whole of FX Derivatives portfolio which gave superior risk stability for existing products as well as allowed the team to explore newer exotics
2. Developed optimization techniques to achieve 10x speedup in intra-day risk runs
3. Developed risk smoothing algorithms and overall achieved 7x improvement in delta risk stability
4. Built ML-backed PNL analysis tools for a better understanding of the franchise, back-testing trading strategies, etc.

Machine LearningQuantitative Analysis