Yeswanth R.
Machine Learning Engineer @ JP Morgan and Chase | Computer Science Grad Student @ NJIT | Python, Machine Learning|AWS Machine Learning speciality
- Role
- Machine Learning Engineer at JPMorganChase
- Location
- Harrison, NJ, US
- LinkedIn followers
- 500 followers
About Yeswanth R.
As a passionate Machine Learning Engineer with nearly three years of experience, I thrive on transforming raw data into actionable insights. Whether it’s predicting storage needs with TensorFlow, optimizing retail operations with advanced algorithms, or scaling AI solutions across 100TB+ datasets using Apache Spark, I’m always looking to push the boundaries of what’s possible.From developing time series forecasting models that improve resource allocation by 25%, to engineering 30+ features that boost anomaly detection by 18%, my focus is always on impactful, data-driven results. I’ve implemented cutting-edge solutions across finance and retail, leveraging technologies like AWS, Docker, and PyTorch to streamline workflows, reduce costs, and increase business efficiency.I’m driven by a love for solving complex problems, and I’m always looking for new ways to innovate—whether through A/B testing frameworks, custom algorithms, or CI/CD pipelines that speed up deployment and make data science accessible at scale.If you’re looking for someone who can turn your data into a competitive advantage, let’s connect!
Experience
Machine Learning Engineer
Sep 2023 — Present · New York, NY, US
Developed and deployed advanced machine learning models to optimize storage capacity and detect anomalies, leading to a 25% improvement in resource allocation. Built and maintained distributed ML pipelines processing 10TB+ of daily data using Apache Spark and PySpark. Leveraged TensorFlow, XGBoost, and other algorithms to compare performance, ultimately enhancing model accuracy and reducing false positives by 30%. Created scalable, production-ready APIs with Flask, serving requests per second. Reduced model deployment times by integrating CI/CD with Jenkins, and improved anomaly detection with custom algorithms, identifying failures 24 hours in advance.
Education
Narayana Junior College - India
Higher secondary, science
2016 — 2018
New Jersey Institute of Technology
Master's degree, Computer Science
New Jersey Institute of Technology
Master of Science - MS, Computer Science
Bhashyam school
Secondary Education
2015 — 2016
Lovely Professional University
Bachelor of Technology - BTech, Computer Science
2018 — 2022
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