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
Information TechnologyView LinkedIn profile

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

  1. Machine Learning Engineer

    JPMorganChase

    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

Find verified contacts for anyone on LinkedIn

Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.

Free plan included · No credit card required

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.

Yeswanth R. — Machine Learning Engineer at JPMorganChase in Harrison, NJ, US | Unifers