Full-Stack Developer

Mark Smith

Professional Summary

Innovative full-stack developer specializing in AI-driven applications with advanced expertise in Python and TypeScript. Demonstrated success designing and implementing scalable systems that optimize user experience and reduce development time by up to 30%. Proficient in integrating complex AI models into practical, high-impact software solutions. Adept at collaborating cross-functionally to deliver cutting-edge products that drive business growth and innovation.

Work Experience

Full-Stack Developer (AI & Tools) at AAA Video Game Company

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• Designed and deployed a full-stack toolchain converting Figma UI designs into game interfaces, cutting iteration time by 70% • Built REST and GraphQL APIs for in-game customization supporting 17M+ players • Integrated AI models for faster 3D asset generation using OpenAI and TensorFlow • Developed React + FastAPI dashboards for player telemetry and created reusable UI/backend components used by 10+ teams

Software Developer (AI & Data Engineering) at Top 3 Bank in Canada

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• Engineered AI tools helping advisors manage $618B+ in assets for 500+ clients • Built React + FastAPI platform for real-time data ingestion, reducing processing time by 80% • Created LangChain-based AI assistant for semantic search and natural-language queries • Deployed vector search pipelines with Elasticsearch and Sentence Transformers • Implemented Dockerized microservices and CI/CD workflows

Research Assistant at Computational Cognition Lab – University of Toronto

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• Designed AI simulations of human decision-making and algorithmic bias • Conducted behaviour experiments with 1,100+ participants using Python and JavaScript • Developed machine-learning models predicting task performance • Co-authored paper accepted to ACM CHI Conference 2025 and poster at IC2S2 2024

Education

Bachelor of Science in Computer Science & Computational Cognitive Science Double Major, Statistics Minor

University of Toronto

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Certificate in AI and Machine Learning

Stanford University

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Skills

Technical Skills

  • • Python
  • • TypeScript
  • • React
  • • FastAPI
  • • LangChain
  • • TensorFlow
  • • PostgreSQL
  • • Docker

Soft Skills

  • • Problem Solving
  • • Collaboration
  • • Adaptability
  • • Communication

Certifications

Certified TensorFlow Developer

Google

AWS Certified Solutions Architect – Associate

Amazon Web Services

Score
88/100
Header
85/100
Education
80/100
Skills
87/100
Projects
85/100
Work Experience
89/100
Certifications
88/100
Profile
90/100
Add a more complete and consistent location/address in the header for better ATS geo-filtering.
Format work experience with bullet points to improve readability and ATS parsing.
Include an objective or career goal statement to clarify candidate’s immediate ambitions.
Add measurable outcomes or user impact details in project descriptions.
Consider including GPA or academic honors if strong to enhance education section.
Strong quantitative achievements demonstrating impact in development roles.
Expertise in AI integration within full-stack development, supported by relevant certifications.
Clear and concise technical skills aligned with industry demands.
Active involvement in research and recognized contributions to academic conferences.

Header

85%
Header includes essential contact details and professional headline, which is good for ATS parsing.
Add a complete physical address or at least city and province consistently; currently, street and country are empty which may slightly impact location-based ATS filters.
Consider including a professional title keyword in the headline, e.g., 'Full-Stack Developer | AI Specialist' to improve keyword matching.

Education

80%
Strong educational background with relevant coursework and advanced certification from Stanford, enhancing credibility.
Dates are clearly stated, but GPA is missing; if strong, consider including it to strengthen academic profile.
Could benefit from more detail on projects or thesis work related to AI or full-stack development.

Skills

87%
Comprehensive hard skills list that aligns well with described work experience and industry standards.
Including both soft skills and tools broadens the candidate’s appeal to ATS and human readers.
Consider grouping or prioritizing skills by proficiency or relevance to the target job to enhance clarity.

Projects

85%
Projects are relevant, recent, and demonstrate innovation and technical depth, especially the hackathon winner project.
Descriptions include technologies and impact, which is good for both ATS and recruiters.
Consider adding measurable outcomes or user impact where possible to further quantify success.

Work Experience

89%
Detailed descriptions with strong use of metrics (e.g., iteration time reduced by 70%, supporting 17M+ players) improve ATS keyword density and recruiter interest.
Use of specific technologies and methodologies (REST, GraphQL, LangChain, Docker, CI/CD) is excellent for keyword optimization.
Ensure consistent formatting of dates and bullet points for better readability.
Could improve by explicitly listing key accomplishments under each role as bullet points rather than paragraphs for clarity.

Certifications

88%
Certifications from reputable organizations (Google, AWS) are well-documented and relevant to the candidate’s technical focus.
Including dates and notes on proficiency adds value.
Consider adding certification IDs or links to verify credentials if available.

Profile

90%
Strong summary with clear emphasis on AI-driven full-stack development and relevant technologies, which aligns well with target roles.
Profile highlights provide quantifiable achievements that demonstrate impact, enhancing recruiter appeal.
Consider adding a brief objective or career goal statement to complement the summary and clarify immediate career intentions.