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Ganesh Chandrasekar

AI/ML Engineer · Researcher

I build and evaluate AI applications. I work across machine learning, NLP, retrieval, language models, APIs, and product development.

Open to full-time AI/ML engineering opportunities.
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Montreal, QC, Canada
Featured work

Systems built to be inspected.

A few projects across biomedical question answering, retrieval, evaluation, and software engineering. Each one shows what I built, how I tested it, and where it can fail.

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Featured case study · 2026-08-01

BioEvidence AI: Evidence-Grounded Biomedical Question Answering

A full-stack biomedical QA application with independently inspectable retrieval, reranking, generation, and citation-validation stages.

Connects PubMed, Europe PMC, and ClinicalTrials.gov APIs to a Next.js interface with Supabase authentication and application data.

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What the product brings together
Retrieval
Biomedical sources, ranking, and evidence selection
Answering
Generation with inspectable citations and validation
Product
Python APIs, Next.js, Supabase, and saved workflows

Detailed research runs remain available through the Examples view without defining the product itself.

Capabilities

What I build and how I test it.

Most of my work has three parts: training models, finding reliable evidence, and turning the result into usable software.

01

Train and evaluate models

Build NLP and machine-learning experiments, then inspect per-label behavior, class imbalance, and the failure cases hidden by a single score.

PyTorch · Hugging Face · BERT · scikit-learn

02

Retrieve and verify evidence

Design sparse and dense retrieval pipelines, rerank candidates, and check whether generated claims are supported by the sources they cite.

BM25 · Pyserini · MedCPT · FAISS · RAG

03

Ship the complete workflow

Connect model behavior to reliable APIs, data, interfaces, and deployment so the work can be used and inspected outside a notebook.

Python · TypeScript · Next.js · REST · GCP

Experience

Biomedical AI research, procurement products, and software systems.

A career path shaped by research experiments, production workflows, and the engineering between them.

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01 · Sep 2023 - Aug 2026

Research Assistant

CLaC Lab, Concordia University

Built biomedical QA pipelines that retrieved and reranked evidence before generation, then validated whether final answers were supported by their cited sources.

02 · Jul 2022 - Aug 2023

Solution Developer

OrangeScape Technologies Pvt Ltd

Worked across upstream and downstream procurement workflows in Kissflow Procurement Cloud, including purchasing, supplier management, approvals, and source-to-pay processes.

03 · May 2022 - Jul 2022

Software Engineering Intern

Basik Marketing Pvt Ltd

Built a Python and Node.js broadcast overlay that consumed live match state and updated scores, event counters, and on-screen elements during esports broadcasts.

Contact
Building an AI product or team?

Open to full-time AI/ML engineering opportunities. I'm especially interested in work where thoughtful evaluation and reliable delivery both matter.

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