Aaryan Marar

Software Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience

Key Highlights

Engineered multi-cloud deployments improving reliability by 40%
Developed high-throughput document processing service
Passionate about solving complex engineering challenges

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in cloud-native architectures and AI-driven solutions.

Contact

aaryanmarar28@gmail.com LinkedIn

Skills

Core Skills

Cloud-native MicroservicesBackend DevelopmentCi/cdLarge Language ModelsMachine Learning

Other Skills

Python (Programming Language)Google Cloud Platform (GCP)Server ArchitectureDjangoAmazon Web Services (AWS)EngineeringComputer ScienceAgile MethodologiesProblem SolvingBack-End Web DevelopmentProgramming LanguagesGo (Programming Language)DockerAWSGCP

About

I’m a Software Engineer and BITS Pilani Computer Science graduate with 1+ year of full-time experience designing and building scalable backend systems, cloud-native microservices, and full-stack applications. My expertise spans Java, Spring Boot, Python, Golang, Django, React.js, and cloud platforms (AWS, GCP). At Searce Inc., I engineered document processing pipelines, multi-cloud deployments, and secure APIs that improved system reliability and efficiency by 40%. I’ve also worked on LLM-based evaluation frameworks, RAG architectures, and automation pipelines, blending AI-driven innovation with strong backend fundamentals. ⚡ Key Strengths: Backend development with Java, Spring Boot, Python, and Go Cloud-native microservices (AWS Lambda, GCP Cloud Run, Pub/Sub, Docker, Kubernetes) RESTful API design, authentication (OAuth2, JWT), and scalable database solutions (SQL/NoSQL) Strong CS fundamentals: DSA, OOP, System Design, and Performance Optimisation Experience with CI/CD, GitHub Actions, and containerised deployments I’m passionate about solving complex engineering challenges, optimising performance at scale, and contributing to products that impact millions.

Experience

1 yr 10 mos

Total Experience

1 yr 6 mos

Average Tenure

4 mos

Current Experience

Jfrog

Software Engineer

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Searce inc

Software Engineer

Jul 2024 – Jan 2026 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Led migration of 30+ enterprise services to a multi-cloud architecture (AWS + GCP) using S3,
Lambda, Cloud Run, Pub/Sub, improving system reliability and deployment flexibility.
Developed a cloud-agnostic SDK in Python and Golang that abstracted provider-specific AWS/GCP
services, enabling seamless multi-cloud deployments and reducing integration effort by 40%.
Developed a high-throughput document processing service (Java, Spring Boot, Docker) on AWS,
improving processing time by 40% and reducing operational overhead.
Developed a secure Django web application with OAuth2 authentication and resumable file uploads using
presigned URLs on GCS, improving reliability by 25%
Improved release speed by 30% by deploying through CI/CD pipelines (Jenkins, Docker), enabling
automated testing, security scans, and rollback-safe deployments.
Delivered features in an Agile, DevOps-driven environment, performed peer reviews and improved
automated test coverage by 40% across services

Python (Programming Language)Google Cloud Platform (GCP)Server ArchitectureDjangoAmazon Web Services (AWS)Engineering+9

Probe42

Software Developer

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Configured Nginx as a reverse proxy to optimize server performance and manage client requests efficiently.
Developed a LLM testing functionality using the Deepeval framework in Python, enabling continuous testing and evaluation of prompt responses which improved the efficiency by 33%.
Created a RAG framework using Langchain and Pinecone in Python to efficiently handle and process large documents thus improving the efficiency by 50%.

Python (Programming Language)DjangoLarge Language Models (LLM)PineconeDatabasesProgramming+5

Swecha telangana

Summer Software Intern

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India · Remote

Developed a specialized crop labeling tool that would classify and identify crops and their species using images and employing traditional machine learning algorithms.

Python (Programming Language)Machine LearningAgile Methodologies