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My work blends engineering, cloud tools, and machine learning to quietly solve tough problems and make a real impact.
Projects
I've built data platforms that power real outcomes — from helping doctors deliver better care to supporting smarter investment decisions.
Whether it's designing HIPAA-compliant pipelines for clinical data or automating portfolio insights in wealth management, I focus on secure, scalable, and precise solutions that drive real business value.
I work hands-on with tools like Apache Spark, Delta Lake, Iceberg, and dbt for modern data processing; orchestrate workflows with Airflow; and run production-grade systems on AWS Glue, Redshift, EMR, and SageMaker. Every build is tuned for performance — and always ready for impact.
Turning complex data into intelligent, scalable systems that move industries forward.
Still Curious?
See the Work in Action.
Explore real-world systems I’ve architected — blending code, cloud, and machine intelligence into scalable solutions.
Engineered Scalable Intelligence — Where Machine Learning Meets the Cloud.
Each solution is precision-built — blending distributed systems, automation, and statistical intelligence to solve real-world complexity with technical clarity.
Experience
I engineer intelligent, data-centric ecosystems — enabling real-time care in healthcare, strategy in finance, and innovation in research. My work fuses distributed systems, machine learning, and cloud-native precision to deliver clarity at scale.
Data Engineer – Healthcare (MedTech)
Led end-to-end design of HIPAA-compliant platforms processing millions of clinical records. Engineered robust ETL pipelines (NiFi, Spark, Delta Lake) and deployed real-time ML workflows with TFX, MLflow, and SageMaker across AWS Glue and EMR.
Data Scientist / Software Engineer – Finance (WealthTech)
Built analytics platforms powering investment strategy and client intelligence. Automated segmentation, risk modeling, and portfolio tracking via dbt, Redshift, and event-driven microservices on AWS Lambda + ECS. Delivered compliant, audit-ready ML.
Data Science Researcher – Language Intelligence
Modeled developer behavior in large open-source ecosystems. Leveraged Python, R, MPI, OpenMP, and CUDA to simulate collaboration at scale. Research informed AI tooling and contributed to open science initiatives in academia.
In the architecture of elegant systems, the reduction of complexity to its essential form remains the highest manifestation of technical sophistication.
Education
Academic Foundation
Grounded in rigorous theory and practical depth — my education spans systems thinking, scalable ML, and advanced statistical modeling.
Master of Data Science
University of Melbourne
Specialized in scalable machine learning, cloud-native data platforms, and applied statistical inference. Bridged academic research with real-world engineering.
Bachelor of Engineering – Computer Engineering
Mumbai University
Built foundational expertise in algorithms, distributed computing, and low-level system design — shaping a systems-first mindset.