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Hi, I’m Mitanshi Vyas, a Machine Learning Engineer with 3+ years building production AI systems that blend computer vision and NLP to generate structured, compliant-ready outputs. I design end-to-end data pipelines and deploy model-serving APIs with FastAPI, delivering interactive frontends using React. I’ve built image-analysis workflows, integrated relational stores for robust reporting, and helped teams create government-ready documentation and automated end-to-end reports. I enjoy collaborating with cross-functional teams to turn data into practical, impact-driven solutions.…Hi, I’m Mitanshi Vyas, a Machine Learning Engineer with 3+ years building production AI systems that blend computer vision and NLP to generate structured, compliant-ready outputs. I design end-to-end data pipelines and deploy model-serving APIs with FastAPI, delivering interactive frontends using React. I’ve built image-analysis workflows, integrated relational stores for robust reporting, and helped teams create government-ready documentation and automated end-to-end reports. I enjoy collaborating with cross-functional teams to turn data into practical, impact-driven solutions.

Mitanshi Vyas

Data Scientist, AI Engineer, Data Analyst

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Hi, I’m Mitanshi Vyas, a Machine Learning Engineer with 3+ years building production AI systems that blend computer vision and NLP to generate structured, compliant-ready outputs. I design end-to-end data pipelines and deploy model-serving APIs with FastAPI, delivering interactive frontends using React. I’ve built image-analysis workflows, integrated relational stores for robust reporting, and helped teams create government-ready documentation and automated end-to-end reports. I enjoy collaborating with cross-functional teams to turn data into practical, impact-driven solutions.…Hi, I’m Mitanshi Vyas, a Machine Learning Engineer with 3+ years building production AI systems that blend computer vision and NLP to generate structured, compliant-ready outputs. I design end-to-end data pipelines and deploy model-serving APIs with FastAPI, delivering interactive frontends using React. I’ve built image-analysis workflows, integrated relational stores for robust reporting, and helped teams create government-ready documentation and automated end-to-end reports. I enjoy collaborating with cross-functional teams to turn data into practical, impact-driven solutions.

Available to hire

Hi, I’m Mitanshi Vyas, a Machine Learning Engineer with 3+ years building production AI systems that blend computer vision and NLP to generate structured, compliant-ready outputs. I design end-to-end data pipelines and deploy model-serving APIs with FastAPI, delivering interactive frontends using React.

I’ve built image-analysis workflows, integrated relational stores for robust reporting, and helped teams create government-ready documentation and automated end-to-end reports. I enjoy collaborating with cross-functional teams to turn data into practical, impact-driven solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Machine Learning Engineer at Neptune Technologies

September 1, 2025 - Present

Architected and deployed a modular case-management platform with a React frontend and backend microservices, reducing new-client onboarding time by 35% and lowering support tickets by 42%.

Machine Learning Engineer at College of Arts, Media and Design, Northeastern University

January 1, 2025 - August 1, 2025

Designed and deployed a civics-focused AI app, refactored the Dash UI into a mobile-first React app to improve multi-device accessibility and session duration by 30%. Built low-latency backend APIs with Flask and Python for real-time event processing and integrated data storage to support reproducible reports for municipal review. Mentored interns to accelerate feature-focused sprints by 2 weeks.

Machine Learning Engineer (Research Scientist) at Northeastern Civic AI Lab - Microsoft Collaboration

February 1, 2024 - January 1, 2025

Led benchmarking pipelines for vision-language models, curating and preprocessing multi-modal data, and improving end-to-end evaluation time by 40%. Mentored interns and supported civics demos.

Data Scientist at Northeastern Civic AI Lab

September 1, 2022 - July 1, 2023

Designed a collaborative filtering recommender, trained a BERT-based classifier to detect spam job listings from 12,000+ descriptions, and integrated model endpoints via Flask to support near real-time recommendations.

Data Scientist at Data Beat Consulting

January 1, 2020 - July 1, 2021

Built churn and credit-risk models, surfacing 1,200+ high-risk customers monthly and reducing loan default exposure through targeted interventions; engineered ETL pipelines in Python/Pandas to ingest audit logs from 5+ systems and deployed endpoints via Flask/FastAPI for production use.