I am a software engineer focused on building AI-driven decision systems that combine structured domain logic with machine learning. My work centers on designing scalable backends, data validation pipelines, and recommendation engines using Python, Node.js, and modern ML frameworks. I have experience translating complex real-world variables into reliable software systems, working closely with domain experts to ensure models and rules are both technically sound and practically usable. This includes preprocessing heterogeneous datasets, defining clear data contracts, and architecting systems that can evolve as new data sources are introduced. I am particularly interested in applied AI projects where correctness, explainability, and long-term maintainability matter more than experimentation alone. I am comfortable working in early-stage builds, making architectural decisions, and iterating quickly while maintaining engineering discipline.

Smit Patel

I am a software engineer focused on building AI-driven decision systems that combine structured domain logic with machine learning. My work centers on designing scalable backends, data validation pipelines, and recommendation engines using Python, Node.js, and modern ML frameworks. I have experience translating complex real-world variables into reliable software systems, working closely with domain experts to ensure models and rules are both technically sound and practically usable. This includes preprocessing heterogeneous datasets, defining clear data contracts, and architecting systems that can evolve as new data sources are introduced. I am particularly interested in applied AI projects where correctness, explainability, and long-term maintainability matter more than experimentation alone. I am comfortable working in early-stage builds, making architectural decisions, and iterating quickly while maintaining engineering discipline.

Available to hire

I am a software engineer focused on building AI-driven decision systems that combine structured domain logic with machine learning. My work centers on designing scalable backends, data validation pipelines, and recommendation engines using Python, Node.js, and modern ML frameworks.

I have experience translating complex real-world variables into reliable software systems, working closely with domain experts to ensure models and rules are both technically sound and practically usable. This includes preprocessing heterogeneous datasets, defining clear data contracts, and architecting systems that can evolve as new data sources are introduced.

I am particularly interested in applied AI projects where correctness, explainability, and long-term maintainability matter more than experimentation alone. I am comfortable working in early-stage builds, making architectural decisions, and iterating quickly while maintaining engineering discipline.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Data Analyst Intern at University of Windsor
May 1, 2025 - Present
Engineered automated workflows integrating recruiter, HR, and finance data, reducing reporting cycles by 40%. Created subscription usage model with license optimization, saving CAD 15,000/year. Developed Power BI dashboards and KPI scorecards to track campaign ROI across 20+ countries. Applied governance rules across international datasets, improving reporting consistency by 25%. Collaborated with cross-regional teams to enhance reporting automation and accuracy.
Full Stack Developer | QA Automation Engineer at BarodaWeb
April 30, 2024 - October 1, 2025
Developed BI dashboards for defect tracking, sprint KPIs, and client reporting. Automated SQL-driven QA validation pipelines, cutting defect detection time by 40%. Enhanced integration with Jira and CI/CD pipelines, streamlining release cycles. Produced client-facing analytics with actionable insights, improving retention and upsell opportunities.
Recruitment Data Workflow Automation at Independent Project
July 31, 2024 - October 1, 2025
Built ETL pipelines consolidating 1,000+ records into unified reporting system. Automated validation and reporting, reducing manual effort by 50%. Created dashboards enabling cost-per-event and ROI analysis for leadership.
Data Pipeline Monitoring App at Independent Project
September 30, 2023 - October 1, 2025
Built mobile app for real-time monitoring of pipelines and server health. Implemented automated alerts, reducing incident response time by 35%. Produced weekly summaries for downtime and performance trends, optimizing infrastructure costs. Logged compliance breaches and audit records to improve governance.
Data Analyst Intern at University of Windsor
May 1, 2025 - Present
Engineered automated workflows integrating recruiter, HR, and finance data, reducing reporting cycles by 40%. Created subscription usage model with license optimization, saving $15,000 CAD/year. Developed Power BI dashboards and KPI scorecards to track campaign ROI across 20+ countries. Applied governance rules across international datasets, improving reporting consistency by 25%. Collaborated with cross-regional teams to enhance reporting automation and accuracy.
Full Stack Developer | QA Automation Engineer at BarodaWeb
April 1, 2024 - October 1, 2025
Developed BI dashboards for defect tracking, sprint KPIs, and client reporting. Automated SQL-driven QA validation pipelines, cutting defect detection time by 40%. Enhanced integration with Jira and CI/CD pipelines, streamlining release cycles. Produced client-facing analytics with actionable insights, improving retention and upsell opportunities.
Recruitment Data Workflow Automation at Self-initiated Projects
July 1, 2024 - October 1, 2025
Built ETL pipelines consolidating 1,000+ records into unified reporting system. Automated validation and reporting, reducing manual effort by 50%. Created dashboards enabling cost-per-event and ROI analysis for leadership.
Data Pipeline Monitoring App at Self-initiated Projects
September 1, 2023 - October 1, 2025
Built mobile app for real-time monitoring of pipelines and server health. Implemented automated alerts, reducing incident response time by 35%. Produced weekly summaries for downtime and performance trends, optimizing infrastructure costs. Logged compliance breaches and audit records to improve governance.
System & Data Analyst Intern at University of Windsor
May 1, 2025 - Present
Designed and implemented automated data pipelines using Python and SQL to process operational data across 20+ countries, reducing manual processing by 40%. Architected AWS infrastructure (S3, Lambda, CloudWatch) to sustain 99.5% production reliability during concurrent regional data processing. Collaborated with cross-functional stakeholders to translate business requirements into technical solutions, delivering features that improved data accuracy by 25%. Implemented data validation frameworks with automated code analysis, reducing production data issues by 60%.
Software Developer at BarodaWeb (Technology-Focused Company)
January 1, 2023 - April 1, 2024
Designed and implemented scalable backend applications using Python (Django, FastAPI) and Java, supporting 1,200+ daily requests with 99.9% uptime. Developed RESTful APIs and integrated backend services with PostgreSQL, MySQL databases and React/JavaScript frontend components. Collaborated in Agile sprints with product managers, designers, and QA to deliver features used by 400+ users. Optimized backend performance through algorithmic analysis, database indexing, and refactoring, reducing API response times by 65% while maintaining code quality via peer reviews.

Education

Master of Applied Computing at University of Windsor
May 1, 2024 - December 1, 2025
Bachelor of Engineering in Computer Science at Gujarat Technological University
July 1, 2019 - May 1, 2023
Master of Applied Computing at University of Windsor
May 1, 2024 - December 1, 2025
Bachelor of Engineering in Computer Science at Gujarat Technological University
July 1, 2019 - May 1, 2023
Master of Applied Computing at University of Windsor
May 1, 2024 - December 1, 2025
Bachelor of Engineering in Computer Science at Gujarat Technological University
July 1, 2019 - May 1, 2023

Qualifications

Master of Applied Computing
May 1, 2024 - December 1, 2025
Bachelor of Engineering in Computer Science
July 1, 2019 - May 1, 2023
Deloitte Australia - Data Analytics Job Simulation
January 11, 2030 - January 5, 2026
Introduction to Spark SQL and DataFrames
January 11, 2030 - January 5, 2026
Unix Essential Training
January 11, 2030 - January 5, 2026
Data Pipeline Automation with GitHub Actions
January 11, 2030 - January 5, 2026
AWS Cloud Practitioner Essentials
January 11, 2030 - January 5, 2026

Industry Experience

Software & Internet, Education, Professional Services