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Shubham Mahobia

@shubhammahobia

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Experienced software engineer with a passion for problem-solving.

India

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What I'm looking for

I am looking for a job that offers a challenging and dynamic environment where I can utilize my skills in software engineering, problem-solving, and machine learning. I am particularly interested in roles such as Product Manager, Data Analyst, Machine Learning Engineer, or Full Stack Developer. I value company culture, career growth opportunities, and the chance to work on innovative projects that

🚀 AI/ML Engineer | Generative AI | Full-Stack & Cloud-Native Solutions

I’m Shubham Mahobia, a 2025 B.Tech (AI) student at Sage University, Bhopal, with 2.5+ years of hands-on experience building and deploying AI solutions.

Currently working at RMgX LLP as an AI Intern.

During my internships at Control Shift and Mitt Arv, I worked on:

Designing scalable ML pipelines and LLM-powered apps (RAG, prompt engineering, vector DBs)

Deploying production-ready systems with FastAPI, Docker, CI/CD, and cloud (AWS, Azure)

Developing end-to-end solutions from biometric authentication to AI interview simulators

Passionate about Generative AI, NLP, and MLOps, I love turning data into impactful, real-world products.

🔗 GitHub: github.com/ShubhaMahobia | ✉️ mahobiashubham4@gmail.com

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Intern

Current

RMgX LLP

Sep 2025 - Mar 2026 (6 months)

• Built AI-driven POCs for regulatory compliance in the BFSI domain, aligning AI systems with EU AI
Act requirements such as risk classification, transparency, and human oversight.
• Implemented LLM-based RAG pipelines for regulatory document analysis, enabling automated compliance
gap assessment, semantic search, and explainable outputs.

Machine Learning Intern

Control Shift

Mar 2025 - May 2025 (2 months)

• Designed and deployed an AI-powered interview system for a job portal, enabling end-to-end automated
hiring workflows using Retrieval-Augmented Generation (RAG) with Gemini LLM and optimized
prompt engineering.
• Integrated Speech-to-Text (STT) and Text-to-Speech (TTS) models to enable real-time, interactive
AI-driven interview experience

Machine Learning LLM Integrations LLMs (LangChain LLM

Software Engineering Intern

Mitt Arv

Jan 2023 - Nov 2024 (1 year 10 months)

Spearheaded frontend development using Flutter for an application, resulting in a 20% increase in app responsiveness and a 15% decrease in load times. Implemented impactful features, including biometric authentication, leading to a 25% increase in user engagement, and integrated a feedback system, resulting in a 30% rise in user satisfaction. Leveraged Node.js to develop RESTful APIs, achieving a

Flutter Node Agile Methodology RESTful APIs Frontend Development Backend Development User Engagement Sprints