Vihang Desai
Gen Ai Staff Engineer (Technical Lead) @IQVIA
Signup · Get unlimited contacts
WORK HISTORY
Gen Ai Staff Engineer (Technical Lead) @IQVIA
US
Currently, I am leading a GenAI Agent team of seven members, focused on developing AI automation tooling for clinical trials. In my role, I oversee the productionization of machine learning models tailored for clinical trial applications, enhancing efficiency and effectiveness in research protocols. I am also engaged in creating a Python-based microservice designed specifically for clinical trial planning.In addition to project oversight, I am leading the development of a SaaS application for internal teams at IQVIA. My leadership involves not only coding but also architectural design and collaboration with Quality Assurance (QA), Site Reliability Engineering (SRE), and Product Owners. Close collaboration with the Machine Learning Team is vital, ensuring our technology aligns with the latest advancements. I actively advocate for the Scaled Agile Framework (SAFe) to enhance project management and team efficiency. My current workload consists of approximately 70% development work in Python and 30% leadership meetings.Skills and ToolsProgramming Languages: Python (predominantly)Frameworks: Flask, Django for microservicesData Manipulation: PandasDatabase Management: SQLAlchemy, basic SnowflakeContainerization: DockerCloud Services: AWS EKSCI/CD: GitHub ActionsMachine Learning Libraries: scikit-learn, TensorFlow, MLFlowScripting: Bash and Python scriptingMethodologies: Advocate for Scaled Agile Framework (SAFe)
EDUCATION
Southern Polytechnic State University
Computer Engineering, Computer Engineering / IT
ABOUT VIHANG DESAI
I am currently leading a GenAI agents development team, focusing on building GenAI agents for clinical trials data checking and automation. As a Machine Learning Software Engineer and Lead, I have over 17 years of programming experience in Python and Java, along with six years dedicated to productionizing machine learning models at IQVIA and Honeywell, utilizing Azure and AWS. In my current role, I lead a team of seven people, dedicating 70% of my effort to development in Python and 30% to leadership across various teams, including product, data, QA, and ML teams. I guide a diverse group of software development engineers, software testers, and ML Engineers.Key Skills:Development: Programming Languages: Python 3.x, Java Frameworks: Uvicorn, Gunicorn, FastAPI (REST) Machine Learning Libraries: XGBoost, Google OR, ARIMA, Pyomo, VAR, GPT-4, LangGraph and LangChain Agents, and more.Experience: Over 17 years in software engineering, including over six years in ML software engineering, leading teams of 8 or more people.Methodologies: Experience in Scaled Agile (SAFe), Scrum, and PI Planning.Technologies: Proficient in Azure, Kubernetes, Docker images (Python and Java), OpenShift, Bamboo, Jenkins, and other CI/CD tools.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.