Vaibhav Dixit

Product Manager

Palo Alto, California, United States5 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing AI agents for business applications.
Strong background in mathematical modeling and optimization.
Proven track record in leading AI hackathon projects.

Stackforce AI infers this person is a highly skilled AI and Machine Learning specialist with a focus on optimization and software development.

Contact

Skills

Core Skills

Full-stack DevelopmentAi AgentsMathematical ModelingModel TrainingDeep Learning

Other Skills

EvalsReinforcement LearningClient RelationsNumerical OptimizationStatistical ModelingLarge Language Models (LLM)C++PythonLeadershipPublic SpeakingJulia (Programming Language)Scientific ComputingMachine Learning

Experience

5 yrs 10 mos

Total Experience

1 yr 3 mos

Average Tenure

10 mos

Current Experience

Mitsubishi electric research laboratories

Summer Intern

Jun 2024 – Aug 2024 · 2 mos · Cambridge, Massachusetts, United States · On-site

Mathematical ModelingNumerical OptimizationStatistical ModelingModel Training

Mit computer science and artificial intelligence laboratory (csail)

Research Assistant

Sep 2023 – Jun 2025 · 1 yr 9 mos · Cambridge, Massachusetts, United States · On-site

I am focused on developing efficient methods for non-linear and non-convex optimization problems, serving as the primary developer for the Optimization.jl package. My work includes training machine learning surrogates (digital twins) for scientific models across diverse fields, such as climate modeling, battery optimization, precision medicine, and, most recently, neural models of the human brain.
Additionally, I have participated in several AI hackathons at MIT, where I built winning applications leveraging large language models (LLMs).

Mathematical ModelingDeep LearningNumerical OptimizationStatistical ModelingAI AgentsModel Training

Julia computing

2 roles

Software Engineer

Promoted

Jan 2021 – Aug 2023 · 2 yrs 7 mos

Involved in building products for Pharmaceutical sector that utilise current trends in scientific computing and software engineering with the aim to provide easy access to industry practitioners to state of the art performance and robustness. This work is being carried out in collaboration with Pumas-AI (https://pumas.ai). My contributions so far have been spread across tooling for NLME, QsP and NCA as well as in development of Clinical Decision Support software for precision dosing.

Mathematical ModelingStatistical ModelingModel Training

Software Engineer

Aug 2018 – Jan 2021 · 2 yrs 5 mos

Worldquant

Websim Research Consultant

Apr 2019 – Sep 2019 · 5 mos

Statistical Modeling

Sciml

Member of Steering Committee

May 2018 – Jun 2025 · 7 yrs 1 mo

Focused on building scalable Scientific Machine Learning (SciML) software suite for interdisciplinary applications. Primarily involved in parameter estimation and sensitivity analysis tooling.

Mathematical ModelingDeep LearningNumerical OptimizationModel Training