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Building reliable AI systems from research to production.

I work across machine learning, NLP, retrieval, evaluation, and software engineering. My portfolio spans shared-task systems, product workflows, dashboards, and end-to-end builds from modeling to interfaces.

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Open to full-time ML, NLP, and software roles starting July 2026.
ML, NLP, and AI engineerMontreal, Canada
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Featured

Selected work

Recent case studies across retrieval, evaluation, applied NLP, and production-minded software work.

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2025-09-01
TREC BioGen: Evidence-grounded RAG and LLM evaluation system
Built and evaluated sparse and dense RAG pipelines over 26.8 million PubMed documents, with Qwen-based generation, reranking, and a dashboard for evidence-linked inspection.
Key: Combined BM25, Pyserini, MedCPT, reranking, and feedback-driven analysis into a deployable evaluation workflow and live viewer.
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2025-11-01
Insomnia classification and evidence extraction
Built baseline shared-task systems for identifying insomnia cases and extracting supporting evidence spans from clinical notes.
2025-08-14
Agentic and non-agentic multi-hop medical question answering
Built three multi-hop QA systems combining open-source LLMs with Wikipedia and PubMed retrieval, then compared agentic and controlled non-agentic workflows.
Experience

Research, teaching, and industry

Full CV roles, condensed into a clean timeline.

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Research Assistant

CLaC Lab, Concordia University · Montreal, Canada

09/2023 - Present

Develop classification, sequence-labeling, span-prediction, and information extraction systems with Python, PyTorch, Transformers, CRFsuite, and scikit-learn.

Teaching Assistant

Concordia University · Montreal, Canada

09/2024 - 05/2026

Supported COMP 479 (Information Retrieval and Web Search) and COMP 232 (Discrete Mathematics) through tutorials, office hours, grading, and assignment guidance.

Solution Developer

OrangeScape Technologies Pvt Ltd · Chennai, India

07/2022 - 08/2023

Developed application features and workflow automation for Kissflow Procurement Cloud across purchasing, approvals, supplier management, and source-to-pay flows.

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Let's talk

If you're hiring for research-minded ML, NLP, evaluation, or software engineering work, I'd be happy to connect.

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