Open to opportunities

Pranesh Prashar

@praneshprashar

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Software engineer focused on cloud-native backends, AI/ML integration, and scalable automation.

India

Message

What I'm looking for

I seek roles where I can apply cloud-native and AI/ML skills to build scalable, production-grade systems, collaborate in Agile teams, and grow in DevOps and ML engineering.

I am a software engineer with hands-on experience delivering cloud-native, AI/ML-driven solutions and scalable backend systems in Agile environments. At Bosch Global Software and Technologies I contributed across the SDLC for safety-critical automotive software, improved release readiness with Python automation, and boosted sprint efficiency by 30% through tooling.

I build production-focused ML and retrieval systems—AutoML pipelines, RAG Q&A using LangChain/FAISS, and real-time computer vision—while practicing DevOps and SRE principles from CI/CD to infrastructure-as-code. I take a pragmatic, quality-first approach to transforming business use cases into robust, maintainable, and future-ready software.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Bosch Global Software and Technologies

Oct 2022 - Present (3 years 8 months)

Contributed to Toyota automotive software lifecycle via requirements analysis, design, coding and safety-aligned testing; developed Python automation tools that improved sprint efficiency by 30% and built a pre-freeze diff-checker to reduce integration issues.

Python Software Testing Agile Debugging Test Automation CI CD

DevOps (SRE) Intern

Simform Solution Pvt. Ltd

Jan 2022 - May 2022 (4 months)

Implemented CI/CD pipelines and automated deployments using GitHub Actions, Docker/Kubernetes and Terraform, gaining hands-on experience in scalable AWS deployment workflows.

CI CD GitHub Actions Docker Kubernetes Terraform AWS Git Infrastructure as Code

Education

Degrees, certifications, and relevant coursework

KIIT

Bachelor of Engineering, Information Technology

2018 - 2022

Grade: 8.27 CGPA

Completed a Bachelor of Engineering in Information Technology with a 8.27 CGPA, focusing on software engineering, AI/ML, and cloud-native development.