Yash Suthar

Software Engineer

Udaipur, Rajasthan, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Strong foundation in AI and ML systems.
  • Experience in building scalable open-source projects.
  • Proficient in modern cloud and DevOps technologies.
Stackforce AI infers this person is a skilled Software Engineer specializing in AI/ML and DevOps within the SaaS industry.

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Skills

Core Skills

Ai EngineeringDevopsMachine Learning

Other Skills

SQLLangChainTerraformFastAPIDockerKubernetesGoogle CloudSystems DesignCPU Architecture & Performance EngineeringBLASCUDADeep LearningData ScienceMERN StackLarge Language Model Operations (LLMOps)

About

I am a 3rd-year Computer Science student with a strong interest in mathematics, physics and programming I completed my primary schooling in my village, where I developed an early fascination with mathematics and physics. I started programming in 8th grade with C, and later expanded into Python, JavaScript, and the MERN stack. Over time, my focus shifted toward AI/ML systems, deep learning, and large-scale engineering, where I also explored DevOps, distributed systems, and system design. My work and interests lie at the intersection of: Data Science and Machine Learning Algorithms, Deep Learning and Generative AI, AI/ML Infrastructure on Cloud, LLM Architecture and Inference Systems, DevOps and Production System Design, Low-Level Performance Engineering, CPU architecture, CUDA(in progress), OpenMP, BLAS, C/C++, Advanced Python Engineering, MERN stack Observability and Scalable AI Systems. I enjoy working on complex, non-trivial engineering problems and learning new technologies quickly.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Mavvrik

Software Engineer Intern

Jun 2025Present · 10 mos · Texas, United States · Remote

  • Enabling cost transparency and governance in AI usage
SQLLangChainAI EngineeringDevOps

Github

Open Source AI and Infra Engineer

Jan 2025Present · 1 yr 3 mos · Udaipur, Rajasthan, India · Remote

  • Built and maintained 9+ open-source projects focused on machine learning, DevOps, and full-stack AI systems. Designed production-grade ML inference systems, CI/CD pipelines with GitHub Actions, and real-time microservices using FastAPI, Docker, and Kubernetes. deployed scalable systems on Google Cloud. Emphasized clean architecture, modular design, and hands-on engineering.
SQLTerraformMachine LearningDevOps

Education

Pacific University Udaipur

B.tech — Computer Science

Jul 2023May 2027

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