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JesusColinV/README.md

Jesus Alejandro Colin Vilchis

CP: 50250 Toluca de Lerdo, México | +52 722 566 4556 | [email protected] | LinkedIn

Summary

A highly motivated and results-oriented Conversational AI Solutions Architect with 5+ years of experience designing, developing, and implementing impactful, socially responsible AI-driven solutions within enterprise environments. Proven ability to lead cross-functional teams, bridge technical complexities with practical applications, and foster innovation within a SAFe Agile framework. Passionate about leveraging cutting-edge technologies like NLP, microservices, and cloud platforms (Azure) to enhance user engagement, streamline communication, and drive significant business outcomes. Demonstrated expertise in data analysis, full-stack development, and DevOps practices. A strong advocate for continuous improvement, data-driven optimization, and fostering a culture of learning and collaboration.

Experience

PepsiCo, Conversational AI Solutions Architect
Toluca, Mexico | November 2022 – Present

  • Architected and integrated conversational AI solutions within enterprise systems, aligning business and technical requirements. Led cross-functional development and support teams using SAFe Agile, delivering high-quality, customer-centric solutions.
  • Designed and developed engaging conversational experiences, focusing on user-centered design and personalized interactions. Leveraged contextual awareness and dynamic content, resulting in a 10% increase in user satisfaction and 15% improvement in task completion. Created reusable design patterns to ensure scalability and foster innovation.
  • Built a scalable microservice architecture supporting the chatbot ecosystem, integrating 15+ AI-powered microservices (e.g., sentiment analysis, entity recognition) via RESTful APIs. Streamlined processes, reduced manual data entry by 20%, and improved data consistency. Conducted thorough tool evaluations and risk assessments (RFPs).
  • Established a data-driven framework using real-time monitoring, A/B testing, and machine learning to continuously optimize chatbot performance. Achieved a 12% increase in conversion rates, an 8% reduction in bounce rates, and a 10% improvement in user satisfaction.
  • Created comprehensive technical documentation, including architecture diagrams, use cases, and integration workflows, ensuring seamless project collaboration and knowledge sharing. Improved NLU accuracy by 15% and reduced chatbot error rates by 10%.
  • Established KPIs, acceptance criteria, and go-live standards to drive impactful project outcomes. Facilitated onboarding and training for new teams on emerging technologies and established adoption strategies and IT policies.

Lumedhealth, Healthcare Data Analyst, Data Engineer, SysAdmin
Mexico City, Mexico | June 2019 – October 2022

  • Proficiently managed the Azure ecosystem, including 20+ virtual machines, IIS web servers, and serverless applications. Optimized IIS server configurations for performance and security, handling 10,000 requests per second with minimal latency and reducing vulnerability risk by 20%.
  • Extracted, transformed, and visualized data from diverse sources (SQL and NoSQL databases), creating dynamic dashboards for real-time insights and improving business decision-making efficiency by 10%. Developed and integrated 5+ RESTful APIs using .NET and Python, enhancing application interoperability.
  • Developed and deployed 3 chatbots using the Azure Bot Framework, automating customer interactions and resolving over 2,000 inquiries monthly, reducing support ticket volume by 15%.
  • Designed interactive dashboards and data visualizations (10+) using Power BI, improving data accessibility for non-technical stakeholders and facilitating data-driven decision making. Oversaw data quality, ensuring accuracy and reliability. Collaborated on KPI definition and performance measurement, aligning metrics with business objectives.
  • Produced analytical reports to inform strategic decision-making, developed predictive models and customer segmentation frameworks, analyzed user behavior for UX optimization, and implemented database and analytics tools.

(Freelance) Programming Teacher
May 2022 - November 2022

  • Taught backend web development (Flask, FastAPI, RESTful APIs, SQLAlchemy), frontend development (Next.js, React, state management, routing), data visualization (Matplotlib, Seaborn, Plotly), and good programming practices (SOLID principles, design patterns).
  • Integrated LeetCode exercises for algorithm practice and problem solving, focusing on data structures and algorithms. Prepared students for technical assessments through coding challenges and mock interviews.

Education

University of Valencia | Expert Universitario en Startup Management, Entrepreneurship | September 2021 – March 2022

Autonomous University of the State of Mexico | Degree in Medical Bioengineering | June 2016 – December 2021

Skills

  • Conversational AI Development: NLP, NLU, Dialog Management, Chatbot Development, Platform Evaluation (Kore, OneReach, Avaamo, Copilot)
  • DevOps & Agile: CI/CD, SAFe Agile, Scrum, Kanban, Automation, Infrastructure as Code
  • Full-Stack Development: Python, JavaScript, Node.js, React, Next.js, Flask, FastAPI, RESTful APIs, Databases (SQL, NoSQL)
  • Cloud Computing: Azure (Virtual Machines, Serverless, IIS, Bot Framework), AWS
  • Data Analysis & Visualization: Power BI, Matplotlib, Seaborn, Plotly, Data Modeling, Predictive Analytics, SQL
  • Leadership & Communication: Team Leadership, Cross-functional Collaboration, Project Management, Technical Documentation, Training

Certifications (Selected - See LinkedIn for full list)

Projects & Achievements (See LinkedIn for full details)

  • Global Impact Projects: Contributed to 25+ high-impact conversational AI projects with global reach.
  • Framework Creation: Developed standardized frameworks for quality and security, improving compliance and operational efficiency by 30%.
  • ROI and TCO Optimization: Enhanced ROI and reduced TCO by up to 25%.
  • 1st Place in Hackathon Artificial Intelligence LATAM (2021 & 2022): Developed innovative AI solutions.
  • Scientific Article on SARS-CoV-2 Variants of Concern: Applied big data analysis techniques.

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