Expert Developer Caleb

With over a decade of experience, I specialize in web and mobile app development, AI solutions, and cloud architecture.

Caleb is a seasoned Web app, Mobile app, AI, Excel Workbook Developer with over a decade of experience crafting backend systems, AI-driven solutions, and scalable cloud architectures.

I specialize in building optimized software for industries such as finance, legal, insurance, and tech, delivering robust APIs, distributed data management systems, and Excel/Spreadsheet automation solutions that drive efficiency.

Why Work with Me?

⭐ Proven Expertise: 10+ years in Python, Django, AWS, and CI/CD, with a track record of optimizing performance and reducing operational costs by up to 80%.

⭐ AI & Machine Learning: Developed predictive models, trading bots, and intelligent automation tools, using TensorFlow, Keras, and large language models.

⭐ Cloud Mastery: Deep experience with AWS, Azure, and GCP to deploy, scale, and monitor applications, ensuring high performance for millions of records.

⭐ Efficient Problem-Solver: Reduced API response times by 80%, increased data access speed, and built scalable web services that handle 70 million records seamlessly.

⭐ Team Leader & Mentor: Successfully guided teams, enhancing productivity, mentoring junior developers, and driving project success. Let’s collaborate to bring your vision to life with cutting-edge software solutions tailored to your needs.

Skills:

✅ Languages & Frameworks: Python, Django, Django Restframework, Flask, Javascript, Erlang, Sanic,

✅ Docker , HTML, CSS, Bash-scripting, Jinja2, XML, JSON, RESTful & SOAP API, Gunicorn, Nginx, Linux OS, Web services, Automation

✅ Databases: PostgreSQL, MySQL, Firebase, Redis, SQL

✅ Cloud Services: AWS (S3, Lambda, RDS, EC2, ECS, Fargate, VPC, IAM, DynamoDB, SNS, SQS, SeS, Cloudwatch), GCP, Heroku, Railways

✅ CI/CD & Automation: GitLab, Github, Jenkins, Terraform, AWS CodeBuild, AppDeploy, Google Kubernetes Engine (GKE)

✅ Artificial Intelligence & Machine Learning / Analytics: LLM, LangChain, Google BERT, OpenAI, TensorFlow, Keras, NLP, HuggingFace, Numpy, Scikit-learn, Scipy Elasticsearch, Grafana, Deep Neural Networks, Reinforced Learning, Machine Learning Algorithms

✅ Web Scraping & Data Processing: BeautifulSoup, Selenium ✅ Testing & Documentation: Pytest, Swagger, Postman, Unit and Integration Testing
✅ Cloud Server Monitoring: Slack, NewRelic, Amplitude, Snyk ✅ Windows OS: Microsoft Office Suites

Innovative Software Solutions (React | Django | Python | Amazon Web Services | Docker | Generative AI)

Script Forge

2013 - Present

1) Automated cloning of the production database for app review using AWS SDK with PostgreSQL on AWS RDS.

2) Reviewed co-engineers' source code and created merge requests for new features and functionalities.

3) Continuously integrated and deployed source code using GitLab SDK, GitLab pipeline jobs, Python, and Bash scripting.

4) Scripted GitLab pipeline jobs to automate testing, data population, staging, and deployment on Heroku.

5) Mentored fresh graduates and interns on developing production-ready software. Documented the team's methods for building, maintaining, monitoring, and deploying software products.

6) Optimized API performance, ensuring 70 million records are rendered in less than a second, enhancing user satisfaction by 80%.

7) Presented completed features and tasks to small and large technical audiences within the company.

8) Collaborated with product and team members to ensure timely completion of tasks and projects.

Advanced Development Skills (Snr Software Engineer)

Script Forge

2010 - 2013

1) Developed an OCR RESTful microservices web app for converting uploaded PDFs to Docx files using Sanic, Django, RabbitMQ, MySQL, and Docker. The app preserves PDF data formats in Docx and reduced production costs by over 80%.

2) Created a RESTful Question-Answering ML app using Python packages, Elasticsearch SDKs, Google BERTs, Haystack, Hugging Face models, and Docker, improving context querying from PDFs by over 80%.

3) Built an API service to automate email data extraction and merge extracts into PDFs using SMTP libraries, Thunderbirds, Python libraries, pdfplumber, and TDD, reducing manual labor from 25 person-years to less than 4 days.

4) Developed software applications scaling up legal business and cutting overhead costs by over 60%.

5) Automated a Contract Management System reducing contract issuance time by over 70%.

6) Deployed applications on GCP, EC2, and Heroku for security, scalability, easier version releases, and robust infrastructure