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A background in robotics and AI, studies at UNSW and hands-on software development. I connect interfaces, APIs and data to practical workflows.
I turn problem statements into working software. I work from requirements and system design through interfaces, APIs, data and AI workflows, then test and refine how the pieces work together.
Explore my workI spent my first two years at VIT Chennai studying Robotics and Artificial Intelligence. Working across software and physical systems shaped the way I approach engineering.
I transferred to UNSW Sydney in 2024 to continue my studies in computer science and engineering. My honours research focuses on AI-based energy management in building operations and renewable energy.
View my resumeEnergyAI connects XGBoost inference to a 720-hour recursive forecast and optional PatchTST fusion. I work on lag updates, timestamp alignment and missing-input fallbacks, then expose the predictions through FastAPI and React.
Explore EnergyAIMy document RAG pipeline fuses BM25 and vector search, reranks passages with a cross-encoder and generates cited answers. A 50-case evaluation workflow separates retrieval checks, answer quality and abstention, alongside document permissions and regression tests.
Explore the RAG systemI contributed to open-source tools for video-based human movement analysis through the NUS OpenCap project. Working with an existing codebase is part of how I learn to make useful, considered changes.
View my resumeI’m looking for software, full-stack, backend, forward-deployed and AI engineering roles across Australia. If your team is building a product that needs practical thinking, careful implementation and curiosity, I’d love to talk.
Let’s connectTwo years in Robotics and Artificial Intelligence at VIT Chennai (2022–2024), followed by transfer to UNSW in 2024.
Building energy forecasting, temporal features, transformer development and model fusion.
Hybrid document search, cited answers, résumé-to-job matching and persistent application workflows.
Contributed to video-based human movement analysis tools through the NUS OpenCap project.
2024–Present. Transferred from VIT after the first two years of study. Thesis: AI-Based Energy Management in Building Operation: Integrating Renewable Energy.
2022–2024. Completed the first two years at VIT Chennai before transferring to UNSW. GPA: 9.05.
From user interfaces and API integration to data, testing and applied AI. Each area connects to an implementation you can explore.
React and TypeScript interfaces connected to Python APIs, with shared data contracts and clear loading, error and review states.
Python, TypeScript, JavaScript, React, Next.js, HTML/CSS
FastAPI services that validate inputs, enforce document permissions and connect model, weather and data services. Familiarity with Model Context Protocol (MCP).
FastAPI, REST APIs, Pydantic, Authentication, Access controls, API integration, MCP (familiarity)
Ingestion, relational workflow state and vector retrieval, with explicit handling of timestamps, lag features and incomplete history.
SQL, PostgreSQL, SQLite, ChromaDB, pandas, NumPy, Data validation
Generative AI and agentic workflow prototypes, designed around retrieval, saved state, human review and evaluation. Also XGBoost forecasting and familiarity with multimodal AI.
Generative AI, Agentic AI, AI system design, RAG, BM25, Cross-encoders, Gemini, Groq, XGBoost, PyTorch, TensorFlow, Multimodal AI (familiarity)
Regression checks, typed contracts and structured logs, plus a 50-case evaluation workflow for retrieval, answer quality and abstention.
pytest, Regression testing, Debugging, Request logging, Ragas, LLM evaluation
Requirements analysis through implementation and deployment, using Codex and Claude Code with code review and verification. Docker packaging, CI checks and technical documentation support delivery.
Requirements analysis, Codex, Claude Code, Git, GitHub Actions, Docker, Vercel, Technical documentation
Software engineering · Applied AI · Collaboration
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