Nitesh Kumar
AI Engineer & Data Scientist
- Role
- Ai Technical Lead Engineer (AVP) at Everest
- Location
- Woodbridge, NJ, US
- LinkedIn followers
- 500 followers
About Nitesh Kumar
US PERMANENT RESIDENT | No VIsa Spornsorship RequiredI am skilled at roles that require Data Science, Machine Learning, Research and Software Engineering.My skills include data research, data analysis, data engineering, developing end to end machine learning products, developing statistical models, building end to end software products and solutions. My core skills are building both supervised and unsupervised Machine Learning models, Deep learning models, Time series models, Algorithms, Software design and Engineering, MLOps, Data Analysis, Visualization, and effectively communicating ideas to stakeholders. I am seeking a role in either Quant Dev, Machine Learning Engineer or Data Scientist.
Experience
Ai Technical Lead Engineer (AVP)
Jun 2025 — Present · Warren County, NJ, US
I work on designing and developing AI solutions. Technical stack : Python, NLP, LLMs, Model Training, Rag pipelines, AI Agents, Airflow, Azure, Redis, Pytorch, Databricks, Pyspark, SQL, Docker, Kubernetes, Kafka.
Education
The University of Texas at Austin
Data Science
Harvard University
Masters degree, Data Science
2021 — 2023
St. Cloud State University
Bachelor of Science, Computer Science, Magna Cum laude
2006 — 2010
University of Chicago
Machine Learning for Analytics MasterTrack™ Certificate, Data Science
Skills
- Windows Presentation Foundation (Wpf)
- Web Development
- C++
- Team Foundation Server
- Windows Phone 7.5
- Oracle
- Windows Form
- Silverlight
- Visual Studio
- Visual C#
- Winforms
- Expression Blend
- Git
- Wpf
- Software Development Life Cycle (Sdlc)
- .net Framework
- .net
- Managed Extensibility Framework
- Data Warehousing
- Subversion
- Asp.net Mvc
- Wcf
- Xml
- C
- Programming
- Ssrs
- Microsoft Unity
- Sql Server
- Prism 4.1
- Sdlc
- Linux
- Qlikview
- Software Design
- Dependency Injection
- Java
- Windows Phone
- Spring
- Web Applications
- Design Patterns
- Microsoft Virtual Source Safe
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