Adithya Kommini, Ph.D. | Architect

Industry Insights

How to Unlock Performance Improvements with Snowflake Snowpark

Deep dive into achieving significant performance boosts and optimizing data workflows by transitioning to modern, scalable compute frameworks.

Data Strategy

Monetizing Your Data With Snowflake Native Apps

A strategic look at how modern enterprises are securely packaging and monetizing data applications directly within cloud ecosystems.

Architecture

How VGS Leverages Snowflake Application Building

A case study utilizing Snowflake's architecture for secure, scalable, and compliant data tokenization and application development in FinTech.

Data Engineering

Accelerating Data Science Pipelines with Snowpark for Python

Exploring the transition from pandas to Snowpark, enhancing performance, and streamlining Python-based data engineering workloads.

Machine Learning

Building Scalable AI Solutions in the Snowflake Data Cloud

A comprehensive guide to deploying and managing robust machine learning models utilizing Snowflake's advanced compute capabilities.

Data Apps

Developing Interactive Applications with Streamlit

Leveraging Streamlit within Snowflake to rapidly prototype and deploy data-driven applications for enterprise stakeholders.

Professional Experience

Present

Lead Data Scientist

Hakkoda, An IBM company Current

Architecting modern cloud data strategies, building Snowflake Native Apps, and optimizing AI pipelines for enterprise clients. Leading teams to drive data democratization and performance scaling.

April 2021 – Past

Data Scientist

SFL Scientific

Developed state-of-the-art AI algorithms and defined comprehensive data strategies leveraging predictive modeling and deep learning to solve complex business challenges for diverse clients.

September 2014 – March 2021

Graduate Research Assistant

University of Massachusetts Amherst (NET Lab)

As part of my Ph.D. program, I designed and implemented predictive models and highly parallelized algorithms using high-performance computing clusters to simulate complex physical phenomena and analyze large-scale datasets.

June 2018 – August 2018

Engineering Intern

Coventor (Lam Research)

Software development for SEMulator3D. Developed and validated modeling approaches via Python APIs to address process and device-level challenges.

Technical Expertise

Data Architecture & Cloud

Snowflake Snowpark AWS GCP Databricks Coalesce CI/CD Data Governance

AI & Machine Learning

LLMs / GenAI NLP Deep Learning Time-Series Knowledge Graphs SageMaker

Languages & Frameworks

Python SQL C++ PyTorch Streamlit Sigma dbt

See how I applied these skills in production

Academic Research & Publications

Explore a comprehensive archive of my academic research, encompassing predictive modeling, semiconductor dynamics, and a complete list of my peer-reviewed journal papers and conference appearances.

View Research Google Scholar

Academic Roots & Accolades

Ph.D. & M.S., Electrical and Computer Engineering

University of Massachusetts Amherst

Fall 2017: Best Teaching Assistant (TA) Award
Spring 2017: Department Research Scholar

Let's Connect

Feel free to reach out for collaborations or inquiries.