Technical Skills

- **Programming Languages:** Python, JavaScript (ES6+), TypeScript, Java

- **Frameworks & Libraries:** React, Node.js, Express, Flask, TensorFlow, PyTorch, FastAPI

- **AI & Machine Learning:** NLP, Computer Vision, Deep Learning, Model Deployment (SaaS/MLOps)

- **Databases:** PostgreSQL, MongoDB, Redis, Elasticsearch

- **Cloud & DevOps:** AWS (Lambda, S3, ECS, SageMaker), Azure, Docker, Kubernetes, CI/CD pipelines

- **Data Processing:** Apache Kafka, Apache Spark, Kafka Streams, Pandas

- **Frontend Tools:** Redux, Next.js, Material-UI, Chart.js

- **APIs & Integrations:** RESTful, GraphQL, WebSockets

Soft Skills

- Critical Thinking & Problem Solving

- Agile Methodologies & Cross-functional Collaboration

- Technical Documentation & Code Review

- Creative Innovation & User-centric Design

- Continuous Learning & Adaptability in AI trends

*Senior Full Stack AI Developer | InnovAI Solutions | San Francisco, CA*

June 2022 – Present

- Led the development of an AI-powered personalized recommendation platform used by 10+ enterprise clients, increasing user engagement by 40%.

- Architected a real-time NLP-based chat support system, reducing response times by 35% and improving customer satisfaction metrics.

- Integrated ML models into cloud-native microservices using AWS SageMaker and Lambda, enabling scalable deployment of AI features.

- Mentored junior developers on AI best practices, CI/CD integration, and full-stack development standards.

*Full Stack Developer (AI Focus) | DataFusion Technologies | Austin, TX*

August 2019 – May 2022

- Built an image recognition pipeline for an e-commerce backend, enhancing visual search capabilities and boosting conversion rates by 20%.

- Developed backend APIs in Python Flask and Node.js to facilitate large-scale data processing workflows for client projects.

- Designed a dashboard with React and Chart.js to visualize ML model performance metrics, enabling data-driven optimizations.

- Collaborated with data scientists to implement NLP algorithms for sentiment analysis in customer feedback modules.

*Software Engineer | NextGen AI Labs | Boston, MA*

July 2017 – July 2019

- Assisted in developing a predictive analytics engine for healthcare data, utilizing deep learning models trained on large electronic health records datasets.

- Contributed to the switch from monolithic architecture to containerized microservices, improving deployment frequency and system stability.

- Developed Java-based REST APIs for integrating AI modules into client-side applications.

- Participated in peer code reviews and implemented automated testing frameworks to increase code quality.

**Bachelor of Science in Computer Science**

Massachusetts Institute of Technology (MIT)

Graduated: 2017

- AWS Certified Machine Learning – Specialty (2024)

- TensorFlow Developer Certificate (2023)

- Certified Kubernetes Application Developer (CKAD) (2023)

Adaptive AI Content Curation Platform

Developed a full-stack application leveraging NLP models to provide personalized content recommendations, utilizing React, Node.js, and PyTorch. Deployed on AWS Lambda with CI/CD pipelines, resulting in a 25% increase in content engagement.

Real-time Video Analytics for Retail

Built a computer vision system using TensorFlow and OpenCV to analyze store foot traffic and shopper behaviors, integrating with cloud dashboards for operational insights. Achieved 95% accuracy in customer flow analysis.

- English (Native)

- Spanish (Fluent)