Kashish Garg

Software Engineer

Faridabad, Haryana, India1 yr 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in large-scale backend systems.
Contributed to AI-driven video generation projects.
Proficient in backend development and AI/ML workflows.

Stackforce AI infers this person is a Backend Engineer with a strong focus on AI applications in Fintech and Media.

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Skills

Core Skills

Back-end Web DevelopmentDistributed SystemsMachine LearningArtificial Intelligence (ai)Generative Ai

Other Skills

JavaAWS SQSDynamoDBSpring BootMicroservicesCommunicationMentoringComfyUILoRAStable Video DiffusionTeam LeadershipNatural Language Processing (NLP)AIOpsArtificial Neural NetworksKernel-based Virtual Machine (KVM)

About

Final-year B.Tech student in Computer Science & AI at IIIT Lucknow (Class of 2026). I’ve gained hands-on experience across large-scale backend systems and applied AI through Software Engineer internships at Amazon, Atlassian, and Flipkart. At Amazon, I worked on distributed, event-driven systems in the payments domain, contributing to backend workflows and reliability-focused testing infrastructure. At Atlassian, I contributed to backend platform modernization using Spring Boot and DynamoDB, working on scalable microservice-based services. At Flipkart, I fine-tuned Generative AI diffusion models for AI-driven video and media generation as part of production-facing pipelines. I enjoy building reliable backend systems and applying AI to real-world products. I’m comfortable with C++, backend development, and AI/ML workflows, and actively practice problem-solving. Currently exploring Software Engineering / Backend / AI roles for 2026.

Experience

1 yr 5 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Amazon

Software Engineer Intern

Jul 2025 – Dec 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

Worked as a Software Development Engineer Intern in the payments domain, focusing on distributed,
event-driven backend systems. Built end-to-end integration tests for a production service using
Java, AWS SQS, and DynamoDB to validate asynchronous payment workflows across multiple
downstream services. Designed a reusable testing framework from scratch with automated test
data setup and cleanup to ensure reliable, repeatable runs. This enabled full CI/CD for the service,
cut regression testing time from about a week to a few hours, and removed manual deployment
validation.

JavaAWS SQSDynamoDBDistributed SystemsBack-End Web Development

Atlassian

Software Engineer Intern

May 2025 – Jun 2025 · 1 mo · Bangalore Urban, Karnataka, India · On-site

Modernized a Marketplace Review Platform backend using Spring Boot, DynamoDB, and StreamHub—enhancing data reliability, service consistency, and production readiness through microservices alignment and robust rollout practices.

Spring BootDynamoDBMicroservicesBack-End Web DevelopmentDistributed Systems

Flipkart

Software Engineer Intern

May 2024 – Jul 2024 · 2 mos · Bangalore Urban, Karnataka, India · On-site

Developed and integrated fine-tuned Generative AI models (ComfyUI, LoRA, Stable Video Diffusion) to create high-quality backgrounds and enhance animated video visuals.

Generative AIComfyUILoRAStable Video Diffusion