Yakub Reddy Adla

Experience

1. Machine Learning Engineer

   Palantir Technologies

   Oct 2024 — Present · US

   Automated end-to-end machine learning pipelines to process telemetry data from over 500 distributed systems, using Apache Airflow to orchestrate workflows and Azure Data Lake with Databricks to enable fast, large-scale data transformations, minimizing delivery lag by 34% and improving downstream model accuracy. Developed an identity resolution model to consolidate fragmented user records across platforms, utilizing Scikit-learn for supervised learning and Python for feature engineering and integration, streamlining data reconciliation and improving entity resolution at scale. Deployed production-grade ML models as RESTful APIs, containerizing services with Docker, automating rollouts via CI/CD pipelines, and scaling them with Kubernetes, which ensured consistent model performance and removed bottlenecks in partner integrations, reducing deployment time by 37%. Built infrastructure anomaly detection pipelines by extracting patterns from system logs using NumPy and Pandas, then applying TensorFlow to train models that proactively surfaced incidents, enabling earlier interventions and reducing system downtime. Simulated real-world inference traffic through custom multithreaded scripts to stress-test deployed models, ensuring system reliability under variable loads without compromising response time. Configured and optimized Kubernetes clusters to dynamically manage compute for containerized workloads, supporting 30+ ML model deployments with efficient scaling and cost-aware model hosting during peak and off-peak cycles. Created self-serve dashboards for stakeholders by querying operational data in PostgreSQL and visualizing trends in Matplotlib, making insights more accessible and improving cross-functional planning velocity by 24%

Education

• Vignana Bharathi Institute of Technology

  Bachelor's degree, Electronics and Communication Engineering

• Pace University

  Master's degree, Data Science