Looking for a job

Girisha Malni N

@girishamalnin

Message

AI developer at DitchCarbon who built ESG document pipelines and graph-based RAG for climate intelligence.

India

Message

What I'm looking for

I’m interested in bridging theoretical AI principles with robust, scalable software architectures and production-grade pipelines, especially across RAG, agentic AI, and classical machine learning.

At DitchCarbon, I built end-to-end PDF parsing pipelines that turn unstructured ESG metrics into structured schemas. I also used discourse graphs and hyperRAG structures to model claim-evidence relationships in corporate reports.

At Carleton University, I developed a graph-based RAG system for ESG climate intelligence. I also co-developed FRV-RAG, which raised Recall@10 to 0.7275 compared with 0.6001 for vanilla RAG.

For my QFIM-guided quantum classification research, I built a 4-qubit variational quantum classifier in Qiskit for breast cancer diagnosis. I used exact QFIM analysis and benchmarked Quantum Natural Gradient against Adam, SPSA, and COBYLA.

I’m a Computer Science and Engineering undergraduate exploring RAG, agentic AI, and machine learning. I’m interested in connecting AI research with robust software systems and production-grade pipelines.

Experience

Work history, roles, and key accomplishments

Undergraduate Research Intern

Carleton University

Feb 2025 - Jul 2026 (1 year 5 months)

Developed a graph-based RAG system for ESG climate intelligence on corporate reports for large-scale sustainability analysis. Contributed to QFIM-Guided Variational Quantum Prototype Learning and co-developed FRV-RAG, a memory-aware RAG framework.

RAG Graph Based Systems ESG Qiskit Quantum Computing QFIM Python

AI Developer

DitchCarbon

Dec 2025 - Jan 2026 (1 month)

Built end-to-end PDF parsing pipelines to extract unstructured ESG metrics into structured schemas. Used discourse graphs and hyperRAG structures to model complex claim-evidence relations for high-order reasoning across corporate reports.

PDF Parsing ESG Discourse Graphs HyperRAG Python

Summer Outreach Participant

ACM India, JUIT

Jun 2025 - Jun 2025 (0 months)

Selected as one of 48 participants across India for cohorts on Quantum Computing Algorithms, Quantum Circuits, and emerging technologies through the ACM Chapter.

Quantum Computing Quantum Circuits Algorithms