Swayam Agarwal

🚀 AI/ML Engineer | Generative AI & Backend Systems

• 🔗 RAG-powered AI applications with LLMs
• ⚡ FastAPI-based AI backends and REST APIs
• 👁️ Computer Vision solutions using real-world image datasets
• 🛰️ Geospatial AI and remote sensing workflows

I am an AI/ML Engineer who specializes in turning AI research and machine learning models into scalable, production-ready applications. My work focuses on Generative AI, computer vision, and backend architecture. Whether I am building RAG pipelines, engineering geospatial datasets, or deploying FastAPI microservices, my goal is to bridge the gap between applied machine learning and resilient software engineering.

Current Role : AI/ML Intern @ Canara HSBC
Core Areas   : Generative AI | Computer Vision | Backend AI
Tech Stack   : Python | FastAPI | LangChain | TensorFlow | Azure AI
Worked With  : LLMs | RAG | GIS | Roboflow | Google Earth Engine
Goal         : Build scalable, production-ready AI systems.

• Machine Learning & Computer Vision
• Generative AI & LLM Applications
• Backend AI Engineering
• Dataset Engineering & Geospatial AI

Languages & Frameworks
Machine Learning & CV
GenAI / LLMs
Data & Infra

Backend: FastAPI • REST APIs

AI/ML Intern — Canara HSBC Life Insurance  ·  Jun 2026 – Present

• Developing AI/ML solutions and contributing to Generative AI applications for business use cases.
• Building backend AI workflows and collaborating with teams to deliver scalable AI systems.

AI/ML Intern — IRIS Aerial Innovations Pvt. Ltd.  ·  Feb 2026 – Jun 2026

• Engineered drone and satellite imagery datasets for computer vision workflows using Roboflow, ArcGIS Living Atlas, and geospatial data sources.
• Executed end-to-end dataset preparation—including image preprocessing, annotation validation, data augmentation, and quality assurance—to produce high-quality training data.
• Streamlined annotation consistency and metadata standardization to improve dataset readiness for object detection and image classification.
• Collaborated with AI engineers to optimize dataset preparation workflows supporting computer vision and remote sensing model development.

Project Intern — Defence Research and Development Organisation (DRDO)  ·  Jan 2026

• Developed AgroVision, an AI-powered smart farming platform integrating CNN-based plant classification, satellite-driven crop recommendation, and LLM-powered advisory systems.
• Integrated Azure AI and Google Earth Engine to build scalable geospatial intelligence workflows for precision agriculture.

AI Lead — Código Maestro  ·  Apr 2025 – Present

• Led AI development for real-world ML and deep learning solutions.
• Built and deployed LLM-powered applications using Gemini Pro, FastAPI, and Python.
• Mentored team members on model development, prompt engineering, and AI deployment workflows.

📌 Check my pinned repositories for more work.

• Build systems, not just models.
• Focus on solving real-world problems with scalable AI.
• Prioritize clean architecture, maintainability, and production readiness.

• AI Engineer
• AI/ML Engineer
• Generative AI Engineer
• Backend AI Engineer
• Applied AI Engineer