Shashank B
AI/ML & Data Engineer | Python • PySpark • TensorFlow • AWS • GCP | Scalable ML in Production
- Role
- Ai Ml Engineer at Merkle
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Shashank B
AI/ML & Data Engineer | MLOps Practitioner | Cloud-Native Solutions BuilderI’m a passionate AI/ML & Data Engineer with 3+ years of experience designing and deploying scalable machine learning models, automating data pipelines, and delivering impactful solutions across AWS, GCP, and Azure ecosystems. At Merkle, I help power customer personalization using deep learning models on SageMaker, CI/CD pipelines with Airflow and GitHub Actions, and robust MLOps practices using MLflow and Docker. My previous experience at Mindtree involved building large-scale data pipelines with PySpark, migrating legacy systems to the cloud, and optimizing real-time analytics workflows. My toolkit includes:• Languages: Python, SQL, Java, R• ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, BERT• Data Engineering: Apache Spark, Kafka, Airflow, Snowflake, BigQuery• Cloud Platforms: AWS, GCP, Azure• MLOps Tools: MLflow, Docker, Jenkins, REST APIs I thrive at the intersection of machine learning and engineering—building reproducible, production-ready pipelines that solve real business problems. I’m always looking to collaborate on impactful AI projects and grow in fast-paced, data-driven environments.Let’s connect if you’re working on cutting-edge ML systems or looking for a strong team player to drive innovation through data!
Experience
Ai Ml Engineer
Aug 2024 — Present
Built and deployed ML models for targeted customer segmentation and personalization using TensorFlow andSageMaker Automated model lifecycle using MLflow, GitHub Actions, and Apache Airflow, reducing deployment time and humanerror Engineered feature stores and real-time inference pipelines integrated with marketing platforms via REST APIs Improved AUC scores by 12% through hyperparameter tuning and ensemble methods Partnered with data scientists, DevOps, and business teams to deliver ML solutions aligned with enterprise goals
Education
University of North Carolina at Charlotte
Master's degree, Computer Science
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