Python-based AI & Software Development

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@michaelbukachi

Hi, I specialize in building production Python applications integrating LLMs, retrieval-augmented generation (RAG), and backend automation. Here is how I can deliver your AI & software solution: 1. LLM & RAG Engine: - Modular integration with modern LLM APIs (OpenAI, Gemini, or Groq) using structured prompt templates and tool calling. - Vector indexing via FAISS/ChromaDB for semantic document retrieval and citation-backed Q&A. 2. Backend & API Workflows: - Clean async Python architecture with FastAPI or Streamlit for rapid dashboard/interface prototyping. - Reusable pipeline modules for document parsing, data transformation, and scheduled automation tasks. 3. Database & State Management: - Relational database schema design (PostgreSQL / Supabase / SQLite) for user sessions, conversation history, and workflow logs. 4. Testing & Handoff: - Comprehensive pytest suite, strict environment variable isolation (.env), and clear documentation for seamless maintainability. Ready to review your requirements and begin immediately.

@mayankinnovative

Building production-ready Python AI solutions requires clean RAG pipelines, deterministic prompt design, and modular backend architecture that scales smoothly. my approach: I will architect your application using Python and modular components, integrating Gemini or Groq APIs with low-latency prompt chains. For document processing and conversational search, I will implement chunking and vector indexing using FAISS to ensure fast, contextually accurate retrieval without hallucination. I will configure Supabase/SQL for secure auth, persistent data storage, and state tracking, while building a responsive front-end in Streamlit. The codebase will follow strict Git version control, featuring unit tests, optimized API rate-limiting, and concise deployment documentation for easy maintainability. 1. What specific file types and volume of data will the document-processing pipeline handle? 2. What hosting environment do you prefer for deployment? I am ready to engineer a robust, scalable AI application for your workflow.

@onkarkulkarni8

I understand the unique challenges and complexities that come with Python-based AI and software development. My decade-long experience with my team at MAK Online Solutions Private Limited has solidified our proficiency in delivering just that. Our deep knowledge in technology like Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG), and API integrations will facilitate the development of intelligent applications meeting your unique requirements. Being adept at data processing allows us to create innovative document-processing and conversational AI solutions based on Python, FAISS, Streamlit, and Gemini/Groq APIs. Our solutions combine automation with analytical structures transforming natural-language inputs into structured processes. Moreover, we have extensive experience integrating third-party APIs to develop reusable application components which is crucial for creating scalable workflows.

@muneeb6767

This lines up well with the kind of Python/AI work I do day to day. I've built and shipped LLM-integrated tools in production (Gemini API), handling prompt design and quota/rate management for real usage volumes - not just prototypes. On the data side, I run Supabase/PostgreSQL-backed applications with structured data storage and dedup logic, plus general SQL work. I do full-stack API integration regularly, wiring third-party services into reusable, maintainable components, and I'm comfortable across the whole cycle - requirements, build, debugging/testing, deployment, documentation - working solo with clients rather than needing hand-holding. Git/GitHub is standard for all of it, and with 44+ five-star reviews from ongoing freelance work, client communication and translating vague asks into working solutions is something I do constantly. RAG/FAISS/Streamlit specifically - happy to be upfront that my strongest hands-on reps are LLM API integration and data pipelines rather than vector-store-heavy RAG stacks, but the underlying pattern (embeddings, retrieval, structured output) isn't unfamiliar and I pick up specific libraries fast. What's the actual deliverable here - an ongoing role, or a specific application/prototype? Happy to share relevant samples either way.

@snbhanja

Hi! I'm a Python developer specializing in AI-powered application, I've built LLM-based tools using RAG, prompt engineering, and APIs like Gemini and Groq, along with document processing and conversational AI apps using FAISS, Streamlit, and Supabase for backend/auth. I work across the full lifecycle, from understanding requirements and designing database-backed workflows to debugging, testing, and deploying reliable, scalable solutions using Git/GitHub. I'd love to discuss your project in more detail and can share relevant examples of similar work I've delivered for past clients.

@prashanpatel557

Hello, I can develop Python-based AI and automation solutions tailored to your requirements, from LLM/RAG applications to data-processing and API-driven software. My relevant experience includes: - Python automation and data-processing workflows - LLM applications with prompt engineering and RAG - FAISS-based document search and conversational AI - Gemini/Groq/OpenAI API integrations - Streamlit applications and interactive AI tools - SQL/Supabase databases, authentication and progress tracking - Third-party API integrations and reusable components - Debugging, testing, optimisation, and deployment - Git/GitHub-based development and documentation I can handle the complete development lifecycle: requirement analysis, architecture, implementation, testing, deployment and maintenance. I focus on clean, modular code that can be extended as requirements evolve. Estimated timeline: 10–20 days depending on the exact application scope. Budget: ₹25,000–₹45,000 depending on complexity. Please share the specific AI/software requirements, and I can propose the implementation approach and milestones. Regards, Prashant Patel

@bindmission

Hello, I have 10 years of experience in Python-based AI & Software Development. I specialize in automation, data processing, and intelligent applications. I develop AI-powered apps using LLMs, RAG, and API integrations. I create solutions in Python with FAISS, Streamlit, and Gemini/Groq APIs. I design database-backed apps with SQL and Supabase. I ensure reliability through debugging and optimization. I use Git for version control and client communication for tailored solutions. Regards, VishnuLal NB

@modesorehari6

⭐⭐⭐Hi there, From Your Vision To Successful — I will take responsibility⭐⭐⭐ I can build reliable Python based AI and software solutions that match your requirements and deliver practical results. I have strong experience developing AI applications using Python, LLMs, Prompt Engineering, RAG, API integrations, automation workflows and database driven systems. I have worked on document processing tools, conversational AI platforms and intelligent applications using technologies like FAISS, Streamlit, Gemini, Groq, SQL and Supabase. My plan is to first understand your business requirements and current workflow then design the right architecture for your AI solution. I will develop clean and scalable Python applications, integrate required APIs, build data processing pipelines, optimize performance and provide clear documentation. I will also handle testing, debugging and improvements throughout the development process. I am available to start immediately as I currently have free time and can fully focus on your project. I respect client ideas and suggestions and believe in clear communication and long term collaboration. I would be happy to support your future AI and software development needs as well. Thanks

@WebXcellance

Hi there, I’m a Python AI developer experienced in building practical AI and automation solutions based on client requirements. My experience includes: * Python-based AI and automation applications * LLM integrations, Prompt Engineering and RAG * Gemini and Groq API integrations * Document processing and conversational AI * FAISS-based semantic search * Streamlit applications and dashboards * SQL/Supabase databases and authentication * REST/third-party API integrations * Data processing, debugging, testing and optimization * Git/GitHub-based development I can work across the complete development lifecycle—from understanding requirements and designing the solution to development, testing, deployment and documentation. I focus on building maintainable solutions rather than quick prototypes, and I’m comfortable working independently or collaborating with an existing development team. Please share your requirements and existing setup, and I can suggest the most suitable technical approach. Thanks, Sachin

@guptakishan805

With my extensive experience incorporating AI and Python, I can confidently say that your project is right up my alley. My work with Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, and API integrations strongly aligns with your needs. I've successfully created document-processing and conversational AI solutions using Python, FAISS, Streamlit, and Gemini/Groq APIs, which equipped me with the skills to handle the complexities of your project. Additionally, my understanding of SQL and Supabase allowed me to build robust databases that supported critical functions such as data storage, user authentication, and progress tracking - skills that will be instrumental in the development of your software. I'm also well-versed in third-party API integration and know how to design reusable application components that facilitate scalable workflows - something essential for efficient AI processes. Furthermore, I have demonstrated proficiency in comprehensive software development lifecycle including debugging, troubleshooting, testing and optimization. Combined with my proactive approach of integrating Git and GitHub for version control during projects for better collaboration. Overall, by choosing me for this endeavor you gain a professional who not only understands the nuts and bolts of Python-based AI but just as importantly knows how to deliver results on time while fostering excellent client communications.

@Cruz1217

Hi, I notice the project requires integrating multiple APIs, which can be tricky to manage, so I'd approach this by setting up a real-time sync system to handle API calls efficiently. My focus will be on building a scalable architecture using Python, ensuring seamless data processing and automation. I'll set up a robust database using SQL and Supabase to store and track user data. In my experience, a common mistake is not properly handling errors and exceptions, which can lead to application crashes, so I'll implement thorough debugging and testing to ensure the application is reliable and performs well. The client can expect a fully functional prototype or application, along with detailed documentation and usage instructions, making it easy to maintain and develop furthe

@dushyant317

We have experience developing Python-based AI applications, LLM solutions, RAG systems, intelligent chatbots, document processing, and workflow automation using FAISS, Streamlit, Gemini/Groq APIs, SQL, and Supabase. Our team can handle complete development, from requirement analysis and API integration to testing, deployment, and documentation, delivering reliable, scalable solutions tailored to your needs.

@theyasirahmad

I’ll handle the project by first understanding the business requirements and identifying the exact AI or automation workflow needed. Then I’ll design the solution architecture, develop the Python-based application, integrate the required LLMs/APIs and database, and build the core AI workflow using techniques such as prompt engineering, RAG, or document processing where required. After development, I’ll test the complete workflow, debug edge cases, optimize performance, and validate the results against the original requirements. I’ll use Git/GitHub for organized development and provide clear documentation so the application is maintainable and easy to extend. Workflow: Requirements → Solution Architecture → Python/AI Development → API & Database Integration → Testing → Debugging & Optimization → Deployment → Documentation & Handover. Yasir K

@JoseRCarvas

Hi — Python AI/software dev: I build LLM/AI features, automation and backend tools to spec — clean, tested code with clear docs. Tell me the first concrete deliverable and I'll map it out. I hold a 5.0-star rating here and deliver clean, tested, working code. We can start with a small funded milestone so you see real progress before committing further. Ready to start today — happy to talk through the details. - Ricardo

@indreshpnk

Hello, I understand you need Python-based AI and software solutions focused on automation, data processing, LLMs, RAG, API integrations, and database-backed applications. The goal is to build reliable, maintainable solutions that transform natural-language requirements into practical workflows and intelligent applications. Here’s what I can provide: Python AI applications using LLMs, prompt engineering, RAG, FAISS, Streamlit, and Gemini/Groq APIs SQL/Supabase-backed systems with authentication, data storage, progress tracking, and reusable components API integrations, workflow automation, debugging, testing, optimization, Git/GitHub, and technical documentation I bring over 4+ years of experience in Python, SQL, APIs, automation, AI integrations, and software development, with a strong focus on scalable workflows and maintainable solutions. Just to clarify a few things: Which AI workflow or application should be prioritized for the first milestone? Do you already have the required LLM/API credentials and existing codebase, if applicable? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@shailender18

Hello, I’m a Python/AI developer with 5+ years of experience building automation, data-processing workflows, and intelligent applications. I can develop reliable solutions around your requirements using Python, LLMs, prompt engineering, RAG, API integrations, SQL, and workflow automation. I have experience building document-processing and conversational AI applications using Python, FAISS, Streamlit, and LLM APIs, along with database-backed solutions using SQL and Supabase for authentication, data storage, and progress tracking. I can also integrate third-party APIs and structure reusable components for scalable workflows. My development process includes requirement analysis, implementation, debugging, testing, optimization, deployment, and technical documentation. I use Git/GitHub for version control and maintain clear documentation so the delivered solution is easy to understand and maintain. Best Regards, Shailender

@mukeshcodyy

Hi, I’d be glad to contribute my Python and AI development expertise to build reliable, scalable solutions based on your requirements. 1. AI & LLM Solutions: Develop LLM-powered applications using prompt engineering, RAG, FAISS, Gemini/Groq APIs, and conversational AI workflows. 2. Python & Automation: Build automation, data-processing workflows, reusable components, and intelligent applications using Python. 3. Database & APIs: Work with SQL/Supabase, authentication, data storage, progress tracking, and third-party API integrations. 4. End-to-End Delivery: Handle requirement analysis, development, debugging, testing, optimization, deployment, Git/GitHub, and clear documentation. I focus on practical solutions that are maintainable, reliable, and aligned with business requirements. Let’s chat and discuss your project requirements and next steps.