I'm Om Salunke
A versatile software engineer specializing in building end-to-end ML pipelines, scalable cloud architectures, and robust data processing systems. Based in Buffalo, NY.
Technical Arsenal
>Programming Languages
>AI & Machine Learning
>Web & Frameworks
>Cloud & DevOps
>Data & Big Data
Experience Timeline
Professional journey and contributions
Research Assistant
University at Buffalo
- •Used Python, AWS Bedrock, Excel and NLP to analyze and process complex medical data, implementing HL7 standards to ensure accurate data formatting and seamless EHR integration.
- •Developed complex SQL queries to extract and analyze EDI transaction data and patient records from Oracle and AWS S3 sources, centralizing refined data in Snowflake.
- •Architected a secure ETL workflow utilizing Databricks Delta Lake and Unity Catalog to extract, govern, and analyze EDI data while conducting HIPAA security risk assessments.
Software Engineer Intern
Tech Mahindra
- •Engineered robust ETL pipelines using PySpark and Azure Databricks to ingest, clean, and transform large-scale datasets, significantly reducing data processing time.
- •Architected a scalable Lakehouse architecture utilizing Delta Lake and Azure Data Lake Gen2, optimizing data storage efficiency and ensuring ACID compliance.
- •Configured and managed scalable compute resources in Azure Databricks, including clusters and cluster pools, to optimize performance and reduce costs.
- •Implemented comprehensive data governance and access control solutions using Unity Catalog within the Databricks workspace.
Featured Projects
Showcasing innovative solutions and technical expertise
Ripple - AI Policy Simulator
A highly scalable data pipeline and simulation engine using Python, AWS, and Databricks for Monte Carlo simulations and predictive economic modeling.
Technologies
Highlights
- ✓Scalable data pipeline
- ✓Interactive visualization dashboard
- ✓Monte Carlo simulations
Citi Bike Trip Prediction System
End-to-end ML pipeline forecasting hourly NYC Citi Bike demand using Python, Pandas, and LightGBM with MLflow experiment tracking.
Technologies
Highlights
- ✓Time-series forecasting
- ✓MLOps lifecycle
- ✓Batch prediction scheduling
Education & Credentials
Publications
Certifications & Badges
Let's Connect
Open to exciting opportunities, collaborations, and discussions about AI, cloud architecture, and data engineering.
Or reach out via any of the contact methods above. I'll get back to you within 24 hours.