Pranav K. Sudhir AI Engineer

Trained on machines, working on their data

I studied mechanical engineering, so I learned how production lines work before I learned how to model their data. That still shapes how I build: start with the people on the floor and the decision they need to make.

Two years as a data engineer on AWS taught me that reliable pipelines matter more than clever models. A co-op at Veeco took me into failure prediction and my first RAG system.

At Mercedes-Benz I’ve helped take a plant from scattered data to one lakehouse, then to assistants, agents and models that act on it.

Portrait of Pranav Kuramkote Sudhir

Education

M.S., Data AnalyticsNortheastern University, Boston
B.E., Mechanical EngineeringSiddaganga Institute of Technology

Certifications

AWS Certified Data Engineer – AssociateAmazon Web Services
Machine Learning SpecializationDeepLearning.AI
Data Science Professional CertificateIBM
Toolkit

Skills

GenAI & agents

  • RAG
  • LangChain
  • LlamaIndex
  • Tool calling
  • Vector search
  • Azure OpenAI
  • LLM evaluation
  • Prompt engineering

Machine learning

  • Anomaly detection
  • XGBoost
  • LightGBM
  • PyTorch
  • scikit-learn
  • Time series
  • pandas
  • NumPy

Data engineering

  • Databricks
  • Spark
  • PySpark
  • Delta Lake
  • Airflow
  • dbt
  • ETL / ELT
  • Data modeling

Cloud

  • AWS S3
  • Glue
  • Lambda
  • Redshift
  • Athena
  • Azure Data Factory
  • ADLS

MLOps

  • MLflow
  • Docker
  • FastAPI
  • REST APIs
  • GitHub Actions
  • Jenkins
  • CI/CD

Delivery & BI

  • Agile / Scrum
  • Jira
  • Stakeholder management
  • KPI design
  • Power BI
  • DAX
  • Tableau