Jigyasu Mittal

Designed agentic AI workflows integrating Claude and OpenAI APIs with tool calling, making architectural decisions on tool use versus retrieval versus generation. Deployed production Python backend services on AWS with Docker and GitHub Actions CI/CD.

Developed and deployed Python backend services for RAG-based AI assistants using FastAPI, PostgreSQL with pgvector, and vector embeddings. Designed REST API endpoints for data ingestion, retrieval, and role-based authentication.

Engineered a production computer vision pipeline for underwater marine species detection using YOLOv11 and OpenCV. Processed and synchronized 16,000+ ROS Bag files with GPS and depth metadata, and built an interactive Streamlit dashboard for species distribution visualization.

ACS Professional Year in IT, developing professional workplace communication, stakeholder engagement, and business writing, with mentorship from the Australian Computer Society.

GitHub Foundations certification, covering Git version control, branching strategies, pull request workflows, GitHub Actions CI/CD, and collaborative development practices.

RAG from Scratch certification, covering building retrieval-augmented generation systems from first principles including chunking, embedding, vector search, and reranking.

LangChain for LLM Application Development certification, covering chains, agents, memory, and retrieval-augmented generation patterns.

Google AI Essentials certification, covering foundations of AI and machine learning systems, responsible AI principles, and practical AI tool usage.

Bachelor of Engineering (Honours) in Software Engineering from the University of Queensland, completed in July 2025.