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Senior Software Engineer (AI & Cloud)

Location:
Los Angeles, CA
Salary:
165,000
Posted:
July 23, 2026

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Resume:

*** * *** *, **** Lake City, UT *****, United States

*******@*************.*** +1-484-***-**** https://www.linkedin.com/in/alden-gillespy/ Summary

Senior Software Engineer with 14+ years of experience building scalable AI, cloud, and enterprise applications. Core expertise in Python, Java, JavaScript/TypeScript, PHP, Spring Boot, FastAPI, React, Node.js, REST APIs, Microservices, AWS, Docker, Kubernetes, PostgreSQL, Redis, Kafka, and CI/CD. Experienced in LLMs, RAG, LangChain, OpenAI APIs, TensorFlow, and PyTorch for production AI solutions. Strong problem-solving, system design, technical leadership, and cross-functional collaboration skills with a proven track record of delivering high-performance, scalable software.

Skills

• Programming Languages: Python, Java, JavaScript (ES6+), TypeScript, PHP, SQL, Bash, HTML5, CSS3

• Frontend: React, Next.js, Angular, Tailwind CSS, Redux Toolkit, Material UI, React Router, React Query, Vite, Responsive UI, SPA, PWA, REST API Integration

• Backend: FastAPI, Flask, Django, Spring Boot, Spring Data JPA, Hibernate, Node.js, Express.js, Laravel, Symfony, REST APIs, Microservices, GraphQL

• AI & Machine Learning: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, LangChain, LangGraph, RAG, OpenAI API, Vector Databases, Embeddings, LLM Integration, ML Pipelines, Model Training, Model Deployment, Prompt Engineering, MLflow

• Cloud & Infrastructure: AWS (EC2, ECS, ECR, Lambda, S3, RDS, CloudWatch, IAM), Docker, Kubernetes, Linux, Nginx

• Databases & Search: PostgreSQL, MySQL, Redis, Oracle Database, Elasticsearch, Apache Solr, Query Optimization, Data Modeling, Indexing Strategies

• Messaging & Data Processing: Apache Kafka, ETL Pipelines, Asynchronous Processing, Data Ingestion, JSON, CSV

• DevOps & CI/CD: Jenkins, GitHub Actions, CI/CD Pipelines, Containerization, Deployment Automation, Monitoring

• Testing & Quality: JUnit 5, Mockito, Unit Testing, Code Reviews, Test Coverage

• Software Architecture: Distributed Systems, Event-Driven Architecture, Scalable Systems, High Availability, API Design, System Design, Legacy Modernization

• Security: JWT, OAuth 2.0, Authentication, Authorization, Secure API Design

• Tools & Methodologies: Git, GitHub, Maven, Composer, Postman, Agile, Scrum, SDLC, Cross-functional Collaboration, Technical Leadership

Alden Gillespy Senior Software Engineer

Experience

Senior Software Developer SERP Solutions Nov 2025 - Present Tech Stack: Python, FastAPI, Flask, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, LangChain, LangGraph, RAG, OpenAI API, Vector Databases, MLflow, Docker, Kubernetes, PostgreSQL, Redis, Git, Linux, AWS

Improved legacy AI services into scalable FastAPI applications, reducing deployment bottlenecks and delivering production-ready ML and LLM solutions.

Built end-to-end ML pipelines in Python for preprocessing, training, tuning, evaluation, and MLflow experiment tracking.

Transformed fragmented knowledge into RAG-powered AI assistants using LangChain, OpenAI APIs, and vector databases, improving response accuracy by 35% and reducing manual lookup by 70%.

Developed Python REST APIs for model inference, integrating LLMs, embeddings, and agent workflows.

Automated model deployment with Docker, Kubernetes, and AWS, improving scalability and CI/CD reliability.

Optimized AI applications with async Python, Redis, PostgreSQL, and AWS, reducing API response time from 650ms to 180ms.

Collaborated with cross-functional teams to deploy and maintain production AI systems while adapting to changing business needs.

AI Evaluation Analyst Micro1 Dec 2025 - Mar 2026

Designed 25+ AI-powered workflows for business and engineering teams, reducing manual work by 40%.

Built AI automations with Google Workspace, Microsoft 365, Slack, and cloud platforms, cutting task time from hours to minutes.

Created workflow documentation and process guides, improving consistency and team onboarding.

Analyzed business processes to identify automation opportunities and remove workflow bottlenecks.

Improved AI accuracy by 30% through prompt engineering, testing, and workflow refinement. Senior Systems Engineer - A1 Data & Infrastructure Micro1 Sep 2025 - Dec 2025

Built high-performance backend services in Python and Go for AI data processing and evaluation workflows.

Developed scalable data pipelines supporting AI model training, validation, and benchmarking.

Improved system performance by optimizing data processing, reducing pipeline latency by 35%.

Built internal tools for data annotation and quality validation, increasing processing efficiency by 30%.

Resolved bottlenecks across distributed services, improving reliability and system stability. Computer Science Expert (PhD) Outlier Apr 2025 - June 2025

Created high-quality technical responses covering algorithms, AI, databases, networking, and distributed systems.

Reviewed and validated computer science content, improving technical accuracy and consistency.

Evaluated complex solutions, identifying errors and aligning content with industry best practices.

Documented technical reasoning to improve AI model interpretability and annotation quality.

Collaborated with remote reviewers and project leads to maintain high-quality training data standards. Senior Software Engineer Ancestry Nov 2022 - Oct 2025 Tech Stack: Java 17, Spring Boot, Spring Data JPA, Hibernate, React, TypeScript, Next.js, REST APIs, PostgreSQL, Redis, Docker, Apache Kafka, Kubernetes, Maven, Git, GitHub, Jenkins, AWS, JUnit 5, Mockito

Modernized legacy enterprise applications with Spring Boot and React, improving response times by 45% while increasing maintainability and production stability.

Improved slow, outdated user interfaces by building responsive applications with React, TypeScript, and Next.js, decreasing initial page load times by 50% and delivering a better user experience.

Optimized backend services through SQL tuning, Redis caching, and Kafka-based asynchronous processing, reducing API latency and increasing throughput.

Automated deployments using Docker, Kubernetes, AWS, and GitHub Actions, improving CI/CD reliability and release efficiency.

Led technical initiatives across engineering, product, and QA teams, driving the successful delivery of enterprise applications and mentoring junior developers. Lead Software Engineer NBCUniversal Feb 2021 - Sep 2022 Tech Stack: Node.js, Express.js, REST APIs, PostgreSQL, Redis, Docker, AWS (EC2, ECS, ECR, CloudWatch, IAM), GitHub, CI/CD, Postman, Linux, Bash, Nginx, SQL, JSON, CSV, ETL, GitHub

Modernized backend microservices with Node.js, PostgreSQL, and Redis, reducing API latency from 210ms to 85ms while containerizing services with Docker and deploying them on AWS.

Built a Node.js application to generate Google AMP pages, reducing page load time from 3.8s to 1.4s while automating deployments through GitHub Actions CI/CD pipelines.

Designed automated ETL pipelines using Node.js and SQL, improving data ingestion reliability with production logging and monitoring.

Managed Docker and Kubernetes deployments, resolving scaling and service dependency issues while optimizing Linux servers and configuring Nginx.

Configured AWS CloudWatch dashboards and alerts, enabling faster issue detection and reducing production downtime.

Software Developer Concepta Tech Mar 2020 - Jan 2021 Tech Stack: PHP, Laravel, Symfony, WordPress, MySQL, Apache Solr, Elasticsearch, REST APIs, Composer, Redis, Docker, Git, Linux, Nginx

Produced a LAMP-based solution and reusable SDKs for a major timeshare property sales and rentals client, leveraging PHP, Laravel, MySQL, and REST APIs to build scalable backend services.

Solved slow property searches by integrating Apache Solr with natural-language search, improving search relevance by 45% and reducing response time from 1.8s to 700ms.

Engineered backend applications using Laravel, Symfony, MySQL, Redis, Docker, and Git, increasing API throughput by 35% while delivering scalable web services.

Developed reusable REST APIs and SDKs that streamlined third-party integrations, reducing implementation effort and improving developer productivity.

Developed and deployed a WordPress website integrated with Elasticsearch, enabling fast, accurate full-text search and improving content discoverability. Software Developer Cognizant June 2012 - Jan 2020 Tech Stack: Python, Django, FastAPI, Flask, Java, Spring Boot, JavaScript, TypeScript, React, Angular, Node.js, Postman, REST APIs, PostgreSQL, MySQL, Redis, Kafka, Docker, Jenkins, Git, AWS, JWT, OAuth 2.0

Modernized legacy payment services using Java, Spring Boot, and Python, reducing API response time.

Developed REST APIs with Java and Node.js for payments and account management.

Built React dashboards with TypeScript and JavaScript, improving page load time by 50%.

Automated reconciliation and ETL tasks using Python and SQL, reducing manual effort by 75%.

Integrated Kafka and Redis for asynchronous transaction processing, improving system throughput.

Optimized PostgreSQL and MySQL queries, reducing report execution time by 60%.

Containerized services with Docker and deployed to Kubernetes through Jenkins CI/CD, cutting release time.

Implemented JWT and OAuth 2.0 authentication, strengthening API security and simplifying user access.

Created reusable Angular and TypeScript components, reducing development effort across multiple projects.

Monitored production services with AWS CloudWatch and resolved issues, improving application availability.

Collaborated in Agile teams, performing code reviews and maintaining 85% unit test coverage. Education

Bachelor of Computer Science, University of Florida Aug 2008 - May 2012



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