AI / ML ENGINEER · AHMEDABAD
Dev Suthar builds production-style machine learning systems across modeling, NLP, APIs, containers, CI/CD and cloud deployment.
NOT JUST THE NOTEBOOK
The portfolio spans TF-IDF classifiers, NLP preprocessing, model evaluation, FastAPI services, Docker containers, GitHub Actions, Docker Hub and AWS EC2. The common thread is simple: take a model past the experiment and make it usable.
THE THROUGH-LINE
The visual language follows the actual lifecycle in the projects: inputs become models, models become services, and services become deployable systems.
Each project begins as a machine learning problem and ends as a deployable software system.
Production-style ticket prioritization system that combines text classification, confidence scoring, human review, and automated cloud deployment.
NLP classification API built on Sentiment140, with a shared preprocessing pipeline, TF-IDF features, model comparison, and Docker deployment.
Modular credit-risk classifier comparing five algorithms and exposing the selected model through a validated FastAPI service.
THE TOOLBOX
Languages, machine learning, data science, backend, cloud, DevOps and mathematics — all sourced from structured content so the site can grow with the skill set.
THE OTHER HALF OF THE PROFILE
Frontline operations added experience with accuracy-critical processes, customer issues, cash reconciliation, troubleshooting, training and team leadership — all documented on the resume.
Certificates are content objects too — easy to add, change or expand without touching the UI layer.
FOUNDATION
B.E. in Computer Engineering
Higher Secondary Education