DevelopFeature branches
ValidateIntegrated tests
ReleaseConsistent delivery
From model to
production. With confidence.
Building the engineering foundations behind reliable promotion forecasting.
Hello, I’m AkashAkash
Malasetty.
AI engineer. System thinker.
Builder at heart.
I turn complex data into systems people can count on. Currently building data and ML platforms at Lowe’s, with a little curiosity in everything I ship.
Bengaluru, IndiaThinking in systems. Building for people.
My world, connected
A little input. A lot of possibility.
Thoughtfully engineered.Connected from the start.
Real-world impact
Click a node. Follow the thinking.A dependable foundation.1 / 3
Model-ready pipelines across seven retail data domains. Quality fixed at the source, with Python, BigQuery, and Airflow.
Building with purpose.
Learning at every step.
Good engineering.
Real difference.
A few things I’ve built, improved,
and taken ownership of.
From model to
≈60relative cost ~40% less
Incremental feeds. Optimized modeling pipelines.
Smarter pipelines.
A lighter cloud footprint.
Reliable data across seven retail domains, with approximately 40% lower cloud costs.
1,000–2,000concurrent participants
ReactNode.jsGKE
Behind the scenes.
Ahead of the crowd.
A complete festival platform, from registrations and sponsorships to the infrastructure underneath.
Data streamsSparkSolr
Excellent Project of the Year
Old systems.
New possibilities.
Modernizing legacy data workflows with cloud automation, Spark, and Solr.
Curiosity has side projects.
Small explorations with people at their center.
Bengaluru, IndiaEngineer by profession.
Curious by default.
Curious by default.
I like knowing how
the whole thing works.
My path has taken me from deep learning research at Samsung to cloud infrastructure at Sprinklr, and now to data and ML engineering at Lowe’s.
That mix shapes how I build. I like understanding the business problem, following the data to its source, and staying with a solution until it works in the real world.
The part I value most? Making complicated things easier for the next person. That might mean a clearer dashboard, a safer release, or helping a teammate get unstuck.
Builder & mentor English, Hindi, Kannada & Telugu
A toolkit, shaped by doing.
Pick an area to see how I put it to work.
From retail source feeds to forecast-ready datasets. I care about freshness, quality, and whether the data is useful to the person consuming it.
Put to work in seven retail data domains at Lowe’s.PythonSQL / BigQueryAirflowApache SparkPandasNumPyLooker
Every chapter
adds something.
Research. Infrastructure. Data.
A wider perspective with every role.
Building the data and ML foundations behind retail forecasting.
- Own production data feeds and forecast-ready datasets across seven retail domains.
- Improve platform efficiency through incremental pipelines, partitioning, and clustering.
- Strengthen ML releases with CI/CD, integrated tests, and feature branch validation.
- Connect engineering to business with accuracy dashboards, observability, and cross-team collaboration.
“Akash has shown strong ownership, technical curiosity, and execution discipline.”
Rated “Exceeds Expectations” in customer focus and delivering results.
A strong foundation.
B.M.S. College of Engineering
Bachelor’s degree, 2020–2024
8.9/10GPA
Always a student.
Generative AI LeaderGoogle Cloud certified
Additional certifications in Python, Java, full-stack development, and data structures & algorithms from Edureka and Coding Ninjas.
Better, together.
Led development at CODEIO, mentored in the Protocol Club, and coordinated project stalls at PhaseShift.
2nd runner-up at Sentinel Hack and iNeuron; finalist at Green Pill and Rajasthan IT Day hackathons.