Jwalith Kristam Email
AI Engineer @ Navierre
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Jwalith Kristam Location
- United States
Jwalith Kristam Work
- AI Engineer @ (April 2026 - Present)
- AI software Engineer @ (June 2025 - April 2026)
- Data Science Intern @ (May 2024 - August 2024)
- Software Engineer - Data @ (October 2020 - June 2023)
- Associate VPPR @ (January 2023 - May 2023)
- Member @ (September 2022 - December 2022)
- Machine Learning Intern @ (April 2019 - June 2019)
Jwalith Kristam Education
- Stony Brook University
Master's degree (Data Science)
2023-2025 - GITAM Deemed University
B.Tech (Computer Science)
2016-2020
Jwalith Kristam Skills
- Agents
- Agile Methodologies
- Airflow
- Amazon Web Services (AWS)
- Anomaly Detection
- Artificial Intelligence (AI)
- Automation Anywhere
- Big Data Analytics
- Communication
- Computer Vision
- Convolutional Neural Networks (CNN)
- Data Analysis
- Data Cleaning
- Data Cleaning and Preprocessing
- Data Mining
- Data preprocessing
- Database Management System (DBMS)
- Deep Learning
- Fine Tuning
- Group Discussions
- Hypothesis Testing
- IBM Watson
- Impromptu Speaking
- Jira
- Kubernetes
- LangChain
- Large Language Models (LLM)
- MLOps
- Machine Learning
- Microsoft Azure
- Neural Networks
- OpenCV
- Postman API
- Powershell
- Public Relations
- Public Speaking
- PyTorch
- Python (Programming Language)
- R (Programming Language)
- RAG
- Recommender Systems
- Regression Models
- Robotic Process Automation (RPA)
- SQL
- Stakeholder Communication
- Statistical Data Analysis
- Statistical Modeling
- Statistics
- Teamwork
- Unsupervised Learning
- Web Scraping
Jwalith Kristam Summary
- Jwalith Kristam, based in United States, is currently a AI Engineer at Navierre. Jwalith Kristam brings experience from previous roles at Schizophrenia & Psychosis Action Alliance, WelSpot, Tata Consultancy Servicess and Alpha Toastmasters Club, Siruseri Chennai. Jwalith Kristam holds a 2023 - 2025 Master's degree in Data Science @ Stony Brook University. With a robust skill set that includes Agents, Agile Methodologies, Airflow, Amazon Web Services (AWS), Anomaly Detection and more.
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