Bhuwan Bhatt
Machine Learning Engineer at Tech 42
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolBhuwan Bhatt is a Machine Learning Engineer based in London with 9 years of industry experience and 5+ years focused on ML/AI, LLMs, MLOps and cloud-native AI solutions. He designs and deploys scalable, fault-tolerant ML infrastructures on AWS, automates clinical and business workflows with LLMs and Amazon Comprehend/Transcribe, and has repeatedly cut manual effort and annotation time in half through engineering and tooling. His work spans startups, consulting and product teams—helping clients from healthcare to finance with recommendation systems, explainability (SHAP/LIME), and production-grade CI/CD for models. Notably, he led development of AI-driven content tooling (FuseStudio) and implemented LLM-powered document and SOAP-note generation that materially improved clinician productivity. A continuous-improvement practitioner and mentor, he pairs hands-on model optimization and cost-reduction expertise with a passion for knowledge sharing and practical AI research.
9 years of coding experience
7 years of employment as a software developer
High School Science, High School Science at Sagarmatha Multiple CollegeMasters in Advanced Computer Science Computer Science, Masters in Advanced Computer Science Computer Science at University of HertfordshireBachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Tribhuvan University, IOE, Pulchowk Campus
Stackoverflow
126reputation
3kreached
2answers
2questions
Github Skills (116)
python10
voting-system10
pandas10
pycord10
skill10
jax10
data-science10
data-structure10
tensorflow10
data-analysis10
pytorch10
filesystem10
discord10
numpy9
multimodal9
Programming languages (10)
Github contributions (5)
bhattbhuwan13/bhattbhuwan13.github.io
Mar 2021 - May 2024
Build a Jekyll blog in minutes, without touching the command line.
Contributions:78 pushes, 1 comment in 3 years 2 months
jekyll-blogjekylljekyll-thememinutes
bhattbhuwan13/Sentiment-Detection
May 2020 - Jan 2022
Code to train, test, and deploy an emotion detection model
Contributions:6 PRs, 30 pushes, 4 branches in 1 year 8 months
pytorchpythonemotiondata-sciencedeep-learning
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