Jai Kumawat

Software Engineer

Jaipur, Rajasthan, India4 yrs 5 mos experience

Key Highlights

Expert in Big Data and Machine Learning technologies.
Proven track record in optimizing cloud infrastructure.
Strong collaboration skills across cross-functional teams.

Stackforce AI infers this person is a SaaS-focused Software Developer with expertise in Big Data and Machine Learning.

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Skills

Core Skills

Big DataMachine LearningAws

Other Skills

AWS LambdaAdobe IllustratorAdobe LightroomAmazon Web Services (AWS)AndroidAndroid DesignApache ImpalaBash scriptingC (Programming Language)C++Data StructuresDockerEvent PhotographyGraphic DesignHadoop

About

Experienced Software Developer with a demonstrated history of working in the information technology and services industry. Skilled in Big Data, Hadoop, Java, C++,Android studio . Strong information technology professional with a BTech - Bachelor of Technology focused in Electrical Engineering from Motilal Nehru National Institute Of Technology,Allahabad.

Experience

Microsoft

Software Engineer 2

Mar 2025 – Present · 1 yr

Adobe

2 roles

Software Developer 2

Jul 2023 – Mar 2025 · 1 yr 8 mos · Noida, Uttar Pradesh, India

Collaborated with multiple microservice teams to integrate policy-driven logic into various use cases, significantly enhancing platform modularity and cloud cost optimization.
Spearheaded cross-functional collaboration with developers, QA engineers, and researchers to ensure the platform evolved in alignment with AI training requirements and business goals.
Continued contributions to EC2 and Kubernetes infrastructure, optimizing resource utilization and cost reporting mechanisms for AI workloads.
Maintained and enhanced internal tooling and deployment workflows, focusing on resiliency, automation, and observability of ML platform components.

Big DataHadoopAWSKubernetesMachine Learning

Software Developer

Jul 2022 – Jul 2023 · 1 yr · Noida, Uttar Pradesh, India

Contributed to EC2-based machine provisioning systems for AI model training, ensuring robust infrastructure support for ML workflows.
Worked on an end-to-end system to fetch pod data from Kubernetes Scheduler and platform APIs, using multi-threading to efficiently share cost and utilization insights with researchers and leadership.
Designed and implemented a seamless deployment system for AWS Lambda function updates, reducing manual AWS Console work and minimizing human error.
Built a robust testing framework for REST APIs using Bash scripting, the Bats framework, and Docker to validate service reliability, security, and performance.

AWSMachine LearningREST APIsBash scriptingDocker