Python tutor Looking for a tutor to help with getting setup to advance my Python Skills. I have been working with Python in Excel and l now want to level up my skills to do some Simple Python Programing. Most of my interest is data science related using Python, Pandas, Matplotlib and statistical forecasting. I’m looking for a series of one on one Zoom sessions to setup VS code as my code editor with Python and related libraries, including setting up virtual environments, loading pip, how to organize file structures etc. Additional sessions I’d like to add Claude code to the mix and setup Jupyter Notebooks.

Join our immigration law firm in NYC to co-present a 15-minute government API demo. We need a Python/Flask developer to showcase our custom CRM's capabilities. This is a short-term engagement ideal for someone with experience in API integration and presentation. The role involves collaborating with our team to effectively demonstrate the API's features to a government audience.

I need a Coding/Python Teacher that can Teach in our Learning Hub. Teach children between the ges of 5-13 in a GROUP CLASS and sometimes ONE-ON-ONE Live On Zoom. FYI, this is Virtual Teaching Live On Zoom and on Eastern Standard Time.

We are seeking an experienced Healthcare Data Analyst / AI Developer to analyze patient data and build an insights platform that turns complex healthcare datasets into actionable intelligence. The ideal candidate will have strong experience working with EHR, EMR, claims, or clinical data and building scalable analytics workflows. You will clean and transform healthcare data, identify meaningful trends, create dashboards, and develop predictive models to support better operational and clinical decisions. Strong Python, SQL, data visualization, and machine learning skills are required, along with experience handling healthcare data securely and following HIPAA best practices. Experience with FHIR/HL7, cloud healthcare platforms, healthcare SaaS products, and LLM-based analytics solutions is a plus. Deliverables will include data exploration reports, structured datasets, analytics dashboards, predictive models where applicable, and clear documentation of findings. This is a long-term, part-time opportunity with a budget of $5k per month depending on experience and project scope.

We run a production backend for an AI-powered platform that helps users identify scams over voice and text in real time. It is live and functional today, built by our current lead backend engineer. We are hiring a second senior engineer to work alongside the existing codebase: validating the architecture, closing out remaining features, and adding capacity so the project is not dependent on a single developer. Stack: Python, FastAPI, Firebase, Firestore, Google Cloud Platform, Cloud Run, Twilio Voice and SMS, Stripe, LLM API integration (Anthropic, OpenAI, or similar), speech to text / text to speech pipelines. What you will do: Review and validate the existing backend architecture and Firestore data model Help close out remaining features ahead of a pilot launch Improve reliability, security, and production readiness where needed Work as ongoing backend capacity going forward You should have: Senior-level Python and FastAPI experience in production Real production experience with Firebase, Firestore, and Cloud Run Experience inheriting and working within an existing codebase, not just building from scratch Twilio voice or SMS experience strongly preferred Experience with Stripe and LLM API integrations a plus Clear written English and some overlap with US Eastern Time To apply, answer this: Describe a time you inherited another developer's production codebase. What was your approach to understanding it, identifying issues, and improving it without disrupting the existing system? Please skip generic template proposals. Repository access and full technical scope provided after a signed NDA.

I am looking for a Python developer with experience in AI and Retrieval-Augmented Generation to create a simple proof-of-concept chatbot that can answer questions from a small set of internal documents. The prototype should load a few sample SOPs, policy documents, or training guides, convert the content into embeddings, retrieve relevant sections, and generate answers using an LLM API. Must be built in Python, and should integrate with our existing Postgres database. Experience with vector databases (like pgvector or Pinecone) and LLM APIs (OpenAI or Claude) is required.

As a Senior Python Data Engineer at UrbanSDK, you will play a pivotal role in designing, developing, and maintaining both processing and backend components of our web applications. You will leverage your expertise in Python for backend services, ensuring seamless integration and performance. A key aspect of this role will involve designing and developing workflow tasking systems to manage complex processes and tasks efficiently. Additionally, you will work with big data technologies to handle and process large-scale data efficiently. You will also work extensively with PostGIS for geospatial data management and utilize a range of technologies and tools to deliver high-quality software solutions. Key Responsibilities: Backend Development: Develop and maintain backend services using Python, leveraging Flask for web services, SQLAlchemy for ORM, and other Python packages like GeoPandas, Pandas, and PySpark for data processing and analysis. Workflow Tasking System: Design and develop workflow tasking systems to automate and manage complex workflows to build analytics based on anomalies or thresholds. Data Handling: Work with csv,geojson, shapefiles and other geospatial data, ensuring proper handling and integration within our applications. Big Data Processing: Utilize big data technologies such as Apache Spark (via PySpark) to process and analyze large datasets. Implement data processing pipelines to handle large file processing. Database Management: Design and optimize flat file data lakes for efficient data management and retrieval in big data contexts. Integration and Deployment: Utilize Docker and Kubernetes for containerization and orchestration in our CI/CD pipelines. Cloud Services: Manage and deploy applications on AWS, leveraging cloud services to enhance application scalability and performance. DevOps Practices: Collaborate with the DevOps team to maintain and enhance infrastructure, ensuring efficient and reliable application operations. Collaboration: Work closely with cross-functional teams including UX/UI designers, data scientists, and other developers to deliver high-quality software solutions. Mentorship: Provide technical leadership and mentorship to junior developers, fostering a collaborative and innovative work environment. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 8 years of experience in full stack development with a strong focus on frontend and backend technologies. Must Haves: Backend Skills: Expertise in Python with hands-on experience in Flask, SQLAlchemy, and data processing using Pandas, GeoPandas, and PySpark. Workflow Tasking Systems: Proven experience in designing and developing workflow tasking systems, including task automation and management. Big Data Technologies: Experience with big data technologies, particularly Apache Spark (PySpark), and handling large-scale data processing. Database Skills: Extensive experience with PostgreSQL and PostGIS for geospatial data management. Data Formats: Familiarity with shapefiles and their integration into applications. Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work effectively in a team environment. Nice to haves: Frontend Skills: Proficiency in React and experience with libraries such as Mapbox and Mapbox-GL. Containerization and Orchestration: Experience with Docker and Kubernetes. Cloud Platforms: Experience with AWS and cloud service management. Messaging Systems: Knowledge of RabbitMQ for messaging and task queuing.

We're looking for an experienced full-stack developer to join our team in building an AI-powered SaaS platform. You'll work on an existing production codebase, developing new features, improving performance, and integrating AI capabilities. This is a long-term opportunity for someone who writes clean, maintainable code and enjoys solving challenging engineering problems. Responsibilities Develop and maintain React frontend features. Build scalable REST APIs using FastAPI. Design and optimize PostgreSQL schemas and queries. Integrate AI/LLM services into existing workflows. Improve application performance, security, and reliability. Participate in code reviews and architectural discussions. Write clean, well-tested, production-quality code. Required Qualifications 5+ years of professional React experience. Strong Python and FastAPI experience. Excellent SQL/PostgreSQL knowledge. Experience with Docker-based development. Experience integrating third-party APIs. Strong Git workflow and communication skills. Able to work independently with minimal supervision. Nice to Have Experience with OpenAI or other LLM APIs. Redis and background job processing. AWS deployment experience. CI/CD pipeline experience. SaaS product development experience. To Apply Please include: 1. A brief introduction about yourself. 2. Links to your GitHub, portfolio, or live projects. 3. One or two React/Python projects you've built that are most relevant. 4. Your availability (hours/week). 5. Your hourly rate. Important: Please begin your proposal with "FastAPI + React" so we know you've read the entire job post.

I am looking for a Python/full-stack dev for a short paid gig (1-2 weeks) for my startup, Vera. We've got a working prototype (Next.js frontend + a solid, tested Python core) that needs three things: 1) confirm an LLM extraction step actually works against the Anthropic API, 2) wrap the core in a lightweight FastAPI layer, 3) deploy (Render/Railway + Vercel). Codebase is clean and Claude Code friendly. I am looking for someone who could also be interested, if the fit is right, in being a technical cofounder!

I’m looking for an experienced Python developer who can build an automated workflow that pulls government solicitations and filters them based on specific criteria, especially solicitations that have online pricing available. This role requires someone who understands web scraping, APIs, data parsing, and automation, ideally with someone who understands DIBBS, DLA, or other federal procurement portals. Scope of Work 1. Build Automated Solicitation Retrieval Create a Python script that automatically pulls new solicitations from: DIBBS / DLA Internet Bid Board System Allow filtering by: FSC/PSC codes Delivery Date posted 2. Identify Solicitations With Online Pricing Build logic to detect solicitations that: Include online pricing Include competitive historical pricing Include NSN‑level price history Include automated quote functionality Extract and store: Item description Part Number NSN Quantity Online price Cage Code Vendor pricing links 3. Data Output & Organization Deliver results in: CSV Excel Google Sheets Include fields such as: Solicitation number Agency Deadline NSN Online price Link to solicitation Link to pricing 4. Automation & Scheduling Set up automatic daily or hourly pulls 5. Documentation Provide clear instructions on: How to run the script How to update filters How to add new portals or pricing sources