Muneeswaran Irulandi
Research Engineer at Quantiphi
Canada
Summary
👤
Senior🎓
Top SchoolMuneeswaran Irulandi is a research-focused machine learning engineer with eight years of experience building and deploying practical AI systems, currently advancing LLM research and products at Quantiphi in Canada. He has driven end-to-end projects from Hybrid retrieval and evidence-aware response generation to fine-tuning a custom 7B LLM and scaling knowledge-graph backed QA pipelines that cut retrieval latency by 95%. Comfortable across NLP and computer vision, his work spans representation learning, RAG, RLHF, and production orchestration on GCP, and he has a track record of turning research prototypes into operational tools like Auto-Train and QodeQure. He also designs upskilling programs, having led an intensive LLM workshop and rapid curriculum for developers and business leaders. A graduate of NIT Surathkal, he combines strong engineering execution with a researcher's curiosity for reducing hallucinations and improving factual grounding in generative models.
8 years of coding experience
4 years of employment as a software developer
SSLC, 96.2% in 10th grade exam, SSLC, 96.2% in 10th grade exam at Velammal Matriculation school MaduraiHSC, PCM, 91.8% In CBSE 12th grade exam, HSC, PCM, 91.8% In CBSE 12th grade exam at Sri Chaitanya Techno School, BangaloreBachelor of Technology, Electrical and Electronics Engineering, Bachelor of Technology, Electrical and Electronics Engineering at National Institute of Technology Karnataka
Tamil, English
Github Skills (7)
herokuapp8
checker7
credits7
rocks7
pdf5
javascript4
collaboration4
Programming languages (1)
Github contributions (5)
Munees11/Auto-MPG-prediction
May 2020 - Sep 2022
Contributions:33 commits, 32 pushes, 1 branch in 2 years 4 months
Munees11/Early-Stage-Diabetes-Risk-Predictor
Aug 2020 - Aug 2020
Contributions:14 pushes, 3 branches in 1 day
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