Steven Valdez

Senior Full Stack Engineer

Address: ***** **** ********, *** *******, TX Phone: 323-***-**** Email: ad3z7f@r.postjobfree.com

EDUCATION

The University of Texas at San Antonio, TX - Bachelor’s Degree, Computer Science Apr 2011 - Apr 2015

SKILLS

Languages: Python, JavaScript, TypeScript, Java, Scala, PHP, C++, C#, Ruby, Dart, HTML5, CSS

Frameworks: Django, Flask, Django REST, Fast API, Angular, Node.js, Express, Nest.js, React, Next.js, Vue, Nuxt.js, Laravel, ASP.Net, .NET Core, GraphQL, FastAPI, Rest APIs, React Native, Ruby on Rails, Flutter, Java Spring Boot, Spring MVC, Spring Data, J2EE, JDBC, JPA, JMS, REST API, Bootstrap, Tailwind CSS, Material UI

Databases: MySQL, PostgreSQL, MongoDB, Cassandra, Oracle, Redis, CouchDB, RabbitMQ, ElasticSearch

Cloud Services: Azure, GCP, AWS

Web services: REST, SOAP, Web API, WCF, Microservice, GraphQL

Testing: Jest, Cypress, Pytest, Enzyme, Mocha, Unittest, Playwright, Selenium

DevOps : Git, Docker, Nginx, Jenkins, Firebase, Kafka, Apache, SVN, TFS, Github, Bitbucket, Gitlab

Others : Power BI, Hadoop, Snowflake, Redshift, Ansible, Terraform, WebRTC, WebSocket, Docker, GA, GTM, Llama, Cohere, SEO, WCAG 2.0, MeiliSearch, AEM, HubSpot, Scrum, Kubernetes, Jira, CausalX, WANDB, Postman, Swagger, LangChain, AutoGen, MVC, MVVM, SDLC, Jenkins, CircleCI, GitlabCI, Vercel, JSON, YAML, PyTorch, Datadog, RPC, OpenAI, NPM, Yarn, PNPM, Webpack, SOAP, Artificial Intelligence, Machine Learning, NLP, TensorFlow, PyTorch, Keras, OpenAI, Data Modeling, SciKit-Learn, Numpy, Pandas, Matplotlib, PySpark, JWT, OAUTH, CORS

EXPERIENCE

LCG.Inc, MD- Senior Software Engineer Sep 2021 - Dec 2023

Lead a team of Data Scientists and Engineers to develop various versions of Machine Learning and Natural Language processing (NLP) models in novel microservices of batch scoring and real-time API serving of predictions.

Developed Healthcare app using Python Django, Flask & React.js, E-Commerce project using C#, ASP.Net & Angular.

Built Blockchain Defi & Dex apps using Java Springboot & React.js, built Restful API servers using Node.js/Express.js.

Built Splunk apps & dashboards to analyze large data sets, conducted data analysis using Splunk's powerful search.

Monitored EDI env using tools like Splunk, Dynatrace, implemented Datadog for monitoring system performance.

Integrated FastAPI with various data storage systems, including MySQL, PostgreSQL, RabbitMQ and MongoDB as NoSQL DB, Redis and MQTT to persist and retrieve data from within the microservices.

Managed large datasets using Hadoop and Snowflake, Databricks, developed Bash scripts automated routine tasks.

Administered Linux/Unix, performed shell scripting for automating tasks, applied regular expressions (Regex).

Managed ETL pipelines using Oracle Data Integrator(ODI), Informatica, Microsoft SQL Server Integration Service

(SSIS), IBM DataStage, Apache NiFi, Talend, Phetaho, integrated Llama for efficient large-scale data analysis.

Utilized Pandas and integrated machine learning capabilities using Python and frameworks - Keras & PyTorch.

Pioneered the adoption of TinyML for on-device ML apps, utilized CUDA & ROCm for parallel computing in DL tasks.

Worked on libraries like NumPy, Pandas, SciKit Learn, Matplot, Seaborn, psycopg2 and gRPC in microservices.

Provided expert training and mentorship at OpenAI, sharing deep knowledge of OpenAI's development practices.

Utilized Ansible, Terraform, Kubernetes for automating deployment and management of AI applications.

Managed IaC practices to manage infrastructure through code, integrated LangChain to automate NLP capabilities.

Led the development of AI/ML models using Scala & Python, utilized the analytical solution using Python and R.

Used machine learning (ML) techniques supervised, unsupervised, reinforcement learning for AI/ML use cases.

Utilized Python & TensorFlow to develop AI models, leveraged Gen AI to augment Selenium and utilized Vertex AI.

Build GSHS Reports in Power BI from scratch, used various sources to pull data into Power BI like SQL Server, oracle.

Configured Nginx, Apache Tomcat for web applications, optimized existing RPC frameworks to reduce latency.

Built a dynamic application using AutoGen for code generation, utilized WANDB to track experiments in ML projects.

Designed web apps using Python on AWS with services - EC2, S3, Lambda, DynamoDB, ElasticSearch, API Gateway, DMS, AWS Glue Catalog, Athena, Opensearch, Antiunity, AWS Kinesis DataStream’s CloudFront, AWS Cloudwatch.

Automated various Azure tasks using Azure CLI, PowerShell, Azure Data Factory, ADLS2, Azure Databricks, Synapse.

Implemented GCP’s (Google Cloud Platform) compute, storage, and database services - Compute Engine, Cloud Storage, and Cloud SQL, utilized GCP’s analytics and machine learning tools (like BigQuery and AI Platform).

Integrated CI/CD pipelines using Jenkins, CircleCI, Gitlab actions for automated testing and deployment.

Implemented TDD practices with Unittest, Pytest, Selenium, Hypothesis automated testing and code quality.

Led the MLOps transition from traditional deployment methods using Docker, Kubernetes, Apache Airflow and architected Docker, Docker Compose and Kubernetes cluster to manage containerized applications.

Conducted code reviews and mentored junior developers, managed projects and lead a team through the entire software development lifecycle (SDLC), incorporating Agile methodologies and paired programming practices. Technical Assent, Washington - Full Stack Engineer Aug 2018 - Aug 2021

Developed backend services using Django, Flask, Scala-centric architecture and front-end using React, Next.js.

Built Healthcare application using Java Springboot & Angular, E-commerce application using C#, ASP.Net, Vue.

Designed restful api server using Node.js/Express.js, Nest.js and MongoDB, PostgreSQL database.

Implemented Splunk’s MLToolkit to automate predictive analytics, involved in migration to Splunk Enterprise 7.3.

Utilized Splunk for real-time data monitoring and log analysis, contributing to improved system performance.

Implemented Restful API & GraphQL to optimize data fetching to reduce API requests by 30% across 5 projects.

Developed SQL Queries, Stored Procedures, used Oracle, SQL, PL/SQL, reversed proxies, NoSQL - MongoDB.

Handled ETL development, handling massive datasets (Terabytes) using Oracle Data Integrator (ODI), Informaticaf.

Utilized Datadog’s APM tools to resolve bottlenecks, implemented secure com channels in the RPC framework.

Utilized PyTorch for data preprocessing and augmentation, implemented advanced NLP tasks using HuggingFace.

Utilized MLIR for optimizing ML models, integrated PyTorch models, developed search feature for the company's main product using MeiliSearch, integrated CausalX for causal inference analysis in marketing strategies.

Developed various solution driven views and dashboards by developing different chart types including Pie Charts, Bar Charts, Scatter Plots in Power BI, implemented Cohere in developing predictive models for customer behavior.

Created a system monitoring suite using Bash scripting, mastered the use of Regex leading to a substantial increase.

Implemented and fine-tuned Nginx for optimal performance, demonstrated expertise in PySpark, SQL, & Python.

Utilized Ansible, Terraform, Kubernetes for application deployment and applied IaC principles.

Worked within Linux/Unix environments, utilizing shell scripting to automate tasks and processes.

Deployed ML models using scikit-learn, TensorFlow and implemented gRPC in microservices architecture.

Pioneered the use of Vertex AI, Gen AI for serverless machine learning models and improving model training.

Developed Machine Learning and NLP framework and models, build the infrastructure using SQL, RabbitMQ, Redis, Tableau, MQTT, used data visualization tools (Pie, Histogram, Boxplot, ggplot2, Barplot) to share insights.

Applied Machine Learning methodologies with R and Python, solved several real-life problems using K Means, K Nearest, Linear regression, Logistic regression, Support vector machines, Decision Tree methods.

Regularly monitored the performance of containerized applications in the Docker, Kubernetes, Apache Airflow.

Managed AWS services like EC2, S3, DynamoDB, RDS, EBS, ELB, Auto-Scaling, AMI, ElasticSearch, Amplify, IAM, Console, DMS, Glue Catalog, Athena, Opensearch, Antiunity, AWS Kinesis DataStream’s and API Integration.

Maintained data pipelines using Azure Data Factory, utilized Azure services such as App Service, SQL Database, Blob Storage. implemented innovative solutions using Azure Data Lake Storage, Azure Databricks, Azure Synapse.

Managed and optimized GCP(Google Cloud Platform) cloud resources, ensuring cost-effective operation and compliance with security standards, enhanced site performance by integrating GCP CDN & caching mechanisms. Mosaic Consulting Group, Tennessee- Junior Software Developer May 2015 - Jun 2018

Developed E-Commerce app using Python Django Flask, and Vue.js. involved in Real-estate project using C#, ASP.Net and React.js, take part in Healthcare app using Java Springboot, Angular, restaurant app using Node, React.js(MERN).

Developed a high-performance API using Python FastAPI, handling a large number of requests with minimal latency.

Continuous learning to stay updated with the latest Splunk features, assisted in the maintenance of Splunk project.

Utilized Bash scripting for data manipulation tasks (ETL), experienced with Azure Data Factory & Talend/TMC.

Involved in data integration projects, Talend for efficient ETL processes using Oracle Data Integrator (ODI) & SSIS.

Utilized Apache Spark, Hadoop, Flink for big data processing and integrating with TensorFlow & PyTorch models.

Used Vertex AI, Gen AI to enhance data visualization and reporting, revamped the contact center's infrastructure, utilized Regex for basic data validation and formatting tasks, contributing to improved data processing and accuracy.

Troubleshot complex system issues using Datadog’s diagnostic tools, developed cross-language RPC interfaces.

Created Power BI Reports using the Tabular SSAS models as source data in Power BI desktop.

Specialized in automating complex network with Ansible, efficiently managing and provisioning cloud infrastructure using Terraform, and scaling containerized applications with Docker and Kubernetes.

Designed elegant data visualizations with Tableau, configured Nginx server and reverse proxy for load balancing.

Developed efficient SQL queries for database like MySQL, PostgreSQL, RabbitMQ to retrieve, update, and manage data, resulting in a 25% reduction in query response times and message brokers like MQTT, Redis.

Performed database queries using Python-MySQL connector and MySQL package to retrieve information.

Configured AWS cloud services like EC2, S3, DynamoDB, RDS, EBS, ELB, Auto-Scaling, AMI, ElasticSearch, Amplify, IAM through Console, DMS, Glue Catalog, Athena, Opensearch, Antiunity, Kinesis DataStream’s and API Integration.

Experienced in Azure cloud services, managing basic cloud infrastructure and application deployments.

Assisted in the deployment of applications on GCP(Google Cloud Platform), learning about various GCP services.

Contact this candidate