Pratik Padalia

Software Engineer

Bangalore Urban, Karnataka, India6 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable data security platforms.
Proven track record in architecting hybrid deployments.
Strong background in data pipeline management and optimization.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in data security and pipeline architecture.

Contact

Skills

Core Skills

JavaPython

Other Skills

GolangCore JavaKubernetesDockerApache KafkaAmazon Web Services (AWS)MicroservicesOperating SystemsPrompt EngineeringData StructuresObject-Oriented Programming (OOP)C++CAlgorithmsProgramming

About

Experienced software engineer motivated to explore and build robust large scale systems with the ability to work in a fast paced environment. Possess strong fundamentals and technical background with a good academic track record. Ready to contribute to any cool project ideas :)

Experience

6 yrs 10 mos

Total Experience

3 yrs

Average Tenure

9 mos

Current Experience

Anyscale

Software Engineer

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Concentric ai

2 roles

Staff Software Engineer

Promoted

Jun 2023 – Aug 2025 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Building a data security platform to scan a large set of data for risk analysis and categorisation.
Leading the AI team for clustering and categorisation data pipeline to enable data driven security postures on file categories.
Architected a hybrid on-prem and SaaS deployment ensuring no data exfiltration from customer VPCs while leveraging cloud-based AI processing.
Owned customer on-prem deployments and proxy service for secure scanning of on-premises data stores over SSH.
Designed and built inhouse kubernetes autoscaler service.

JavaPython

Software Engineer

Jun 2022 – May 2023 · 11 mos · Bengaluru, Karnataka, India

Akridata

3 roles

Member Of Technical Staff 2

Promoted

Jan 2021 – Jun 2022 · 1 yr 5 mos

Built framework to manage data pipelines to facilitate large scale data ingestion, data processing and data management solutions.
Designed and developed multi node fault tolerant asynchronous upload service facilitating the workflow runtime reduction by over 60%.
Developed offline data processing support for moving edge systems.
Implementation of a robust pub sub model on directed acyclic graphs for the core data pipeline with parallel execution of requests.
Designed and implemented dynamic GPU memory allocation policy.

JavaPython