Agentic AI & MLOps Specialist | Full-Stack Developer

I am a Data Science student at IIT Madras and a Full-Stack Developer specializing in Agentic AI, MLOps, and RAG architectures. I have a proven track record of building autonomous multi-agent pipelines, deploying scalable machine learning models to the cloud, and architecting robust backend systems. I am passionate about enterprise-grade AI governance and have been globally recognized in elite hackathons for my solo system design and engineering.

• 🌱 I’m currently pursuing a Bachelor of Science in Data Science and Applications at the Indian Institute of Technology Madras (Expected 2026).
• 🔭 I specialize in autonomous multi-agent orchestration (AutoGen), deploying complex models via cloud IaC (Azure/AWS), and optimizing scalable web APIs.
• 👯 I’m looking to collaborate on Agentic AI workflows, intelligent automation tools, and Open-source MLOps projects.

• Stack: Python, AutoGen, Docker, Azure (Bicep), Checkov
• Engineered an autonomous multi-agent DevSecOps pipeline using Microsoft AutoGen, selected from an elite talent pool across top IITs/IIMs.
• Architected a Human-in-the-Loop (HITL) governance framework for automated Checkov security scanning and Azure infrastructure provisioning.
• Built a self-healing CI/CD architecture capable of containerizing applications and dynamically resolving Azure IaC deployment failures.

• Stack: Claude 3.5, SQL, RAG, Python, FAISS, Streamlit
• Architected an intelligent agent for hybrid reasoning over SQL databases and unstructured documents, outperforming peers in an exclusive IIT Madras Data Science competition.
• Enabled dynamic query classification and automated SQL generation with self-correcting retry mechanisms over complex databases.
• Implemented real-time performance tracking and deployed a user-friendly conversational interface using Streamlit.

• Stack: Python, XGBoost, Scikit-learn, SVM
• Secured a top 2% leaderboard rank (30th out of 1,519 participants) by engineering a predictive model that significantly outperformed the 0.55 baseline cutoff with a score of 0.675.

• Stack: Flask, Vue.js, REST APIs, SQL, RAG
• Led backend development and database architecture within a collaborative student team to build a comprehensive senior citizen support platform.
• Designed robust REST APIs and managed secure user authentication logic to connect Vue.js frontend interfaces with backend services.
• Integrated a RAG-powered conversational chatbot and AI-driven medical report analysis features directly into the application pipeline.

• DeepLearning.AI Advanced AI Series – Completed a 6-course specialization focused on GenAI application development, LLM orchestration, and RAG architectures.
• AWS Cloud Foundations (Simplilearn Certified) – Familiar with S3, SageMaker, and Lambda deployment.

• 📧 Email: yuvraj.gosain2003@gmail.com
• 🔗 LinkedIn: linkedin.com/in/yuvrajgosain
• 💻 GitHub: github.com/yuviiitm26
• 🌐 Portfolio: yuviiitm26.github.io/portfolio/

🧠 "Learn. Build. Iterate. Achieve."