Deep Gandhi
Machine Learning Engineer at Transformer Lab
Calgary, Alberta, Canada
Summary
🤩
Rockstar🎓
Top SchoolDeep Gandhi is a Machine Learning Engineer with seven years of experience building scalable ML systems and research-driven NLP solutions, currently developing Transformer Lab, an open-source platform for local model training, data generation, and evaluation. He combines applied research—MSc thesis on debiasing LLMs with Distributionally Robust Optimization at Amii—with hands-on engineering, having delivered PEFT/SFT pipelines, VRAM-optimized fine-tuning, and on-prem evaluation agents for procurement-focused LLMs at Binoloop. His work spans federated learning, hate speech prediction (EMNLP 2022), and low-resource language modeling (EACL 2023), reflecting a strong bridge between academic publications and production tooling. Deep has deep infra skills (Kubernetes, Celery, VLLM, LangChain/LlamaIndex) and a knack for practical innovations like the ASCEND alignment mechanism and graph-based agentic workflows. Based in Calgary, he favors privacy-conscious, edge-friendly deployments and open-source collaboration, and he’s actively building community tools around Transformer Lab.
7 years of coding experience
3 years of employment as a software developer
MSc (Thesis), Computing Science, 3.9/4.0, MSc (Thesis), Computing Science, 3.9/4.0 at University of AlbertaBE - Bachelor of Engineering, Computer Engineering, 9.55/10, BE - Bachelor of Engineering, Computer Engineering, 9.55/10 at Dwarkadas J. Sanghvi College of Engineering
Marathi, Gujarati, Spanish, French, Hindi, English
Github Skills (54)
transformers10
electron10
rlhf10
lora10
llama9
prepare8
golang7
similarity7
vector7
location7
fintech7
cosine-similarity6
scalable6
database6
telegram-bot6
Programming languages (8)
Github contributions (5)
Contributions:10 commits, 6 pushes, 1 branch in 1 year 8 months
deep1401/deep1401
Jul 2020 - Feb 2025
Contributions:33 pushes in 4 years 8 months
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