
I'm Shubham Mahobia, an AI/ML Engineer passionate about building impactful Generative AI and cloud-native solutions. I thrive in environments where I can architect and deploy scalable systems, transforming complex data into real-world products through innovation and code.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed scalable ML pipelines and LLM-powered apps during internships.
Currently building and deploying production-ready AI solutions with cloud-native tech.
Can help others by designing and implementing advanced Generative AI solutions.
🚀 Career trajectory
Foundational Learning
As a final-year B.Tech (AI) student, I built core knowledge in Computer Science, Algorithms, and Data Structures.
✦ Computer Science
✦ Algorithms
✦ Data Structures
Practical Application
Interned as a Software Engineer at Mitt Arv, gaining hands-on experience in software development.
✦ Software Development
✦ Internship
Specialized ML Expertise
Focused on Machine Learning Engineering and AI, interning at Control Shift and developing LLM applications.
✦ Machine Learning
✦ Generative AI
✦ LLM
✦ MLOps
AI Engineering Role
Currently contributing as an AI Engineer at RMgX Technologies LLP, driving AI-driven solutions.
✦ AI Engineering
✦ Cloud Native
✦ FastAPI
✦ AWS
💪🏻 Superpowers
Generative AI Innovation
Pioneering LLM-powered solutions for real-world impact.
✦ Designing scalable ML pipelines and LLM apps with RAG.
✦ Implementing prompt engineering and vector database solutions.
✦ Developing end-to-end AI applications from concept to deployment.
Cloud-Native Deployment
Expertise in deploying robust AI systems on cloud infrastructure.
✦ Deploying production-ready systems using FastAPI and Docker.
✦ Leveraging CI/CD for efficient and reliable deployments.
✦ Utilizing AWS and Azure for scalable cloud solutions.
End-to-End AI Solutions
Building comprehensive AI applications from scratch.
✦ Developed biometric authentication systems.
✦ Created AI-powered interview simulator platforms.
✦ Bridging the gap between AI research and practical product development.
I'm excited about
✦ Exploring cutting-edge Generative AI advancements and their applications.
✦ Connecting with innovators and practitioners in the AI/ML space.
✦ Discovering opportunities to contribute to impactful AI projects.
I can help with
✦ Architecting and deploying scalable ML pipelines for your projects.
✦ Developing custom LLM-powered applications and RAG systems.
✦ Providing expertise in MLOps and cloud-native AI deployments.
I would love your help on
✦ Insights into emerging trends in enterprise AI adoption.
✦ Mentorship on navigating complex MLOps challenges.
✦ Connections to research labs focusing on novel AI models.