Swayam Agarwal

🚀 SDE (AIML) | GenAI + Backend Engineering

• 🔗 RAG-based AI systems (context-aware LLM applications)
• ⚡ FastAPI-powered ML APIs (production-ready backend systems)
• 👁️ Computer Vision pipelines (real-world datasets & preprocessing)
• 🤖 AI agents & automation workflows

Focus: GenAI + Backend Systems
Current Work: RAG Systems | FastAPI APIs | CV Data Pipelines
Stack: Python | FastAPI | LangChain | TensorFlow | OpenCV
Working With: Roboflow | Satellite Imagery | Real-world datasets
Goal: Build scalable, production-ready AI applications

AIML Engineer currently working as an SDE (AIML) Intern. I focus on building reliable backend systems and AI-powered APIs, bridging the gap between research models and production deployment. I work primarily with Generative AI, RAG architectures, and Scalable Python backends.

• SDE (AIML) Intern @ IRIS Aerial Innovations
• Scaling RAG-powered systems & LLM-orchestrated agents
• Optimizing FastAPI microservices for production throughput (AgroVision)

• Machine Learning & CV: CNNs, Computer Vision, Feature Engineering, Dataset Preprocessing
• Generative AI: LLMs, RAG Systems, Prompt Engineering, LangChain
• Backend Engineering: FastAPI, RESTful APIs, API Integration
• Data Engineering: NumPy, Pandas, SQL, Google Earth Engine

Languages
ML / DL
GenAI / LLMs
Infra / Tools

SDE (AIML) Intern — IRIS Aerial Innovations Pvt. Ltd.  ·  Feb 2026 – Present

• Optimized image preprocessing pipelines for large-scale CV datasets (Roboflow, satellite imagery)
• Built data pipelines and automated ML workflows to streamline model training cycles
• Developed geospatial/aerial imagery solutions for real-world computer vision applications
• Streamlined annotation processing and dataset normalization for model readiness
• Enhanced dataset quality, contributing to measurable improvements in model training performance

AI Lead — Código Maestro  ·  Apr 2025 – Present

• Deployed ML/DL architectures (ANN, CNN) serving real-world use cases
• Developed and served LLM-based chatbots using Gemini Pro and FastAPI
• Led technical mentorship on model evaluation, prompt design, and deployment workflows

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

• Contributed to applied AI/ML development in a research-driven R&D environment
• Supported backend AIML service integration into existing systems

📌 Check my pinned repositories for more work.

🧩  Advanced RAG Optimization    →  Improving context-retrieval latency & groundedness
🤖  Multi-Agent AI Systems       →  Engineering collaborative agentic workflows
🔗  LLM Orchestration            →  Optimizing prompt chains and routing for performance
📐  Scaling ML Microservices     →  Improving throughput & reliability of AI backends

• Build systems, not just models
• Focus on real-world deployment
• Keep solutions scalable, simple, and reliable

• SDE Intern / AIML Intern / GenAI Engineer roles
• Backend + AI Engineering hybrid opportunities