Sri Mounika J.

About Sri Mounika J.

Customer-focused AI/ML engineer with over 5+ years experience in enterprise customer engineering and hands-on experience building RAG systems, generative AI pipelines, and data science solutions. I’ve worked across model experimentation (SDXL, Flux, LLaMA), fine-tuning, vector search, and deploying real-world AI applications end-to-end.I excel at translating customer needs into technical solutions, benchmarking and validating models, and collaborating across engineering teams to deliver scalable, reliable results. Actively looking for roles in Solutions Engineering, AI/ML Engineering, and Field Application Engineering. Outside of work, I am a passionate Carnatic violinist, pursuing my violin studies for the past 8 yearsFeel free to DM if you are interested in chatting about data, tech, or music:)

Experience

1. Ai Engineer

   Dewberry

   Mar 2024 — Present

   Designed and implemented scalable AI-driven predictive maintenance models using TensorFlow and PySpark on IoT sensor data, improving equipment uptime by 35%- Developed ETL pipelines with AWS Glue to ingest and preprocess 12TB monthly manufacturing data, boosting data pipeline efficiency by 40%- Automated anomaly detection in production lines using unsupervised ML algorithms, reducing defect rates by 22%- Deployed machine learning models into AWS SageMaker to enable real-time scoring and monitoring, achieving 99.5% model availability- Designed dashboards using Tableau to visualize plant efficiency and energy usage, supporting sustainability goals and reducing carbon footprint by 15%- Implemented containerized data workflows with Docker and orchestrated via Airflow and Kubernetes, reducing deployment time by 30%- Collaborated with manufacturing engineers and data scientists to optimize model hyperparameters, enhancing prediction accuracy by 18%- Conducted model explainability using SHAP values for transparency in AI decisions, improving stakeholder trust- Ensured GDPR and CCPA compliance by documenting data lineage and securing pipelines with AWS IAM policies.

Education

• GITAM Deemed University

  Bachelor of Technology, Computer Science

  2015 — 2019

• San José State University

  Master of Science - MS, Applied Data Science