Expertos en Agentes IA

@MashoodurRehman1

I am an AI Engineer with extensive experience in developing intelligent automation agents that integrate seamlessly with APIs, databases, and client systems. My proficiency in Python and cloud deployment (AWS, GCP, Azure) positions me well to convert defined use cases into functional, production-ready agents. I have implemented machine learning best practices and utilized computer vision for information extraction and validation. My expertise includes working with LLMs such as OpenAI and Azure OpenAI, and using frameworks like LangChain and Rasa. Additionally, I am skilled in orchestrators such as FastAPI and Flask, which ensures efficient and scalable deployments. I have a proven track record of delivering clean, well-documented code, complete with reproducible pipelines and comprehensive README files for smooth handovers. I am interested in discussing how my skills align with your needs and ready to start this week. Could you share the briefing and current flows for a detailed proposal? Looking forward to your response.

@corpmember29

Hola: He leído detenidamente sus requisitos y comprendo plenamente el alcance del proyecto para desarrollar agentes de IA listos para producción, destinados a la automatización de procesos. Con más de 10 años de experiencia en Python, aprendizaje automático (Machine Learning), visión por computadora e integración de LLM, he entregado con éxito agentes capaces de conectarse a API, bases de datos y sistemas internos para automatizar flujos de trabajo de principio a fin. Abordaré su proyecto de la siguiente manera: Transformando su caso de uso y sus flujos de trabajo en un agente robusto y modular, utilizando herramientas como LangChain, Rasa, FastAPI/Flask/Django y otras herramientas pertinentes de ML/IA. Implementando validación de datos, lógica de toma de decisiones y, opcionalmente, modelos de visión por computadora para garantizar una alta precisión. Asegurando que el agente esté listo para producción y sea desplegable en plataformas como AWS, GCP o Azure, incluyendo sistemas de registro (logging), métricas y gestión de errores. OFRECERÉ 2 AÑOS DE SOPORTE CONTINUO GRATUITO Y EL CÓDIGO FUENTE COMPLETO; trabajaré bajo una metodología ágil y brindaré asistencia integral, desde la fase inicial hasta el despliegue final. Estoy disponible para comenzar esta misma semana y puedo garantizar que el agente entregado cumplirá con sus criterios de precisión del 95 % y de despliegue. Espero con interés su respuesta favorable. Gracias.

@devendrathakur12

I got your requirements clearly. scaling fast and need reliable ai agents that actually run end to end without babysitting ill take your use case turn it into a working agent with llm + api integrations deploy it on cloud with logging then hand over clean code and simple docs so your team can run it without friction what kind of workflows are these mostly api driven or heavy on documents/images? do you already have eval datasets for that 95% accuracy or need me to set that up too? free to start now Devendra

@Herculesz

Hi The core challenge here is building autonomous AI agents that reliably read, decide, and act across APIs and systems without breaking under real-world variability. I can develop production-ready agents in Python using FastAPI or Flask, integrating LLMs like OpenAI or Azure OpenAI with LangChain-style orchestration and robust decision pipelines. A common failure point is inconsistent outputs and fragile workflows, which I solve through structured prompts, validation layers, fallback logic, and reproducible pipelines. I have experience connecting agents to APIs, databases, and internal systems while ensuring traceability with logging and metrics. For cases involving document parsing or validation, I can incorporate computer vision and OCR pipelines to increase accuracy. I focus on delivering clean, maintainable code with clear README documentation and deployment-ready setups on AWS, GCP, or Azure. My approach ensures agents meet high accuracy targets and remain stable in production environments. Thanks, Hercules

@shivansh121

Can we discuss more about this project here? I am waiting here to get message from you. My Skill :- Python Django Machine Learning JavaScript Data Scraping Regards, Shalu

@softsolution2000

I am confident that my expertise in Python, Django, NoSQL Couch & Mongo, Machine Learning (ML), and Elasticsearch align perfectly with the requirements of the project "Expertos en Agentes IA." I am eager to take on the challenge of developing functional AI agents and integrating them seamlessly into client systems. I am open to adjusting the budget after discussing the full project scope and ensuring that it aligns with your expectations. Let's kick start this project and delve into the exciting world of AI automation. Please go through my profile its 15 years old see the work I did over the years. No Win No Fee means that your satisfaction is my utmost priority. Lets discuss the job details. Moreover, I am willing to start the job and perform tasks without even being hired; it is just to show my commitment to this project. Looking forward to hear from you.

@juanjosec63

Hi, Como desarrollador individual, puedo ayudarte en tu proyecto enfocándome en lo más importante como la construcción de agentes de IA para automatización end-to-end, integración con APIs y bases de datos, orquestación de flujos con LLMs y despliegue en entornos cloud listos para producción. Con mi experiencia en desarrollo full-stack y trabajando con tecnologías modernas como Python, FastAPI, LangChain, OpenAI o Azure OpenAI, pipelines de ML, integración de APIs, y sistemas de automatización, puedo resolver esto rápidamente. Puedo tomar tus briefings, convertirlos en agentes funcionales que lean, decidan y actúen con alta precisión, estructurar pipelines reproducibles, añadir validación o visión por computadora cuando sea necesario, y dejar todo documentado para despliegue y mantenimiento. Puedes esperar comunicación clara, ejecución rápida y un resultado de alta calidad que encaje perfectamente en tu flujo de trabajo y te permita escalar a nuevos proyectos sin fricción. Best regards, Juan

@vishal1145

Your agency's bottleneck isn't capacity - it's execution risk. If these AI agents fail at 90% accuracy instead of 95%, your clients will revert to manual processes and blame the technology. I've seen this exact scenario kill three automation projects where the agent "worked" in demos but collapsed under real-world edge cases. Before architecting the solution, I need clarity on two things: What happens when the LLM hallucinates a decision that triggers a financial transaction or deletes customer data? And are your clients' APIs rate-limited in ways that will cause the agent to fail silently during high-volume periods? Here's the architectural approach: - PYTHON + LANGCHAIN: Build deterministic agent workflows with fallback logic and human-in-the-loop checkpoints for decisions above a confidence threshold, preventing catastrophic errors. - FASTAPI + CELERY: Implement async task queues with retry mechanisms and dead-letter handling so API failures don't break the entire automation chain. - ELASTICSEARCH: Index all agent decisions and API responses for real-time debugging - when accuracy drops below 95%, you'll know which step failed within 30 seconds. - OPENAI + ANTHROPIC: Use multi-model validation where critical decisions get cross-checked by two LLMs, reducing hallucination risk from 8% to under 1%. - AWS LAMBDA + CLOUDWATCH: Deploy with auto-scaling and structured logging that tracks token usage, latency, and error rates per client without manual monitoring. I've built 7 production AI agents for fintech and logistics companies that process 50K+ decisions daily at 97-99% accuracy. I don't take projects where acceptance criteria are vague - let's schedule a 20-minute call to walk through your riskiest use case and define what "95% accuracy" actually measures before I commit to delivery timelines.

@asadamyn

Puedo encargarme de esto. Ya he construido agentes de IA, automatizaciones y sistemas con LLM de principio a fin. No hago chatbots simples — construyo agentes que leen, deciden y ejecutan acciones reales. Trabajo con: OpenAI / Azure / Anthropic LangChain, RAG, flujos de agentes FastAPI / Flask (APIs en producción) Integraciones con APIs, bases de datos y sistemas internos He desarrollado sistemas que: Procesan datos desde APIs, archivos o inputs Toman decisiones usando lógica + LLM Ejecutan acciones (actualizaciones en DB, llamadas a APIs, workflows) Funcionan de forma automática (sin intervención humana) Cómo lo trabajaré: Me pasas el briefing + flujo → lo convierto en un agente funcional Código limpio en Python + pipeline estructurado Deploy en AWS/GCP/Azure con logs y métricas README claro para handover El 95% de precisión es alcanzable — valido con tus datos de test y ajusto donde sea necesario. Puedo escalar esto a múltiples proyectos, no solo uno.

@chraheelbhatti

With over a decade of experience as a senior machine learning engineer, I am confident in my ability to transform your defined use cases and build functional, well-documented AI agents that are ready for production. I have had the privilege of working with noteworthy organizations such as Unilever Pakistan and the State Bank of Pakistan, where I led AI-powered systems similar to those you're looking for. My work extended into areas like voice recognition, surveillance, and automated workflows, aligning perfectly with your project requirements. Lastly, my communication skills in Spanish and deep understanding of the Latin America region adds an extra layer of fit for your project as it fosters better comprehension and effective collaboration. As we partner together for this endeavor promising intelligent agents driven by exceptional automation prowess, let's not lose sight of the potential growth we can achieve in future projects venturing into ML and computer vision. Choose me for assured excellence from beginning to end no matter the task at hand.

@Feriver

Hola, Puedo desarrollar agentes de IA funcionales orientados a automatización de procesos según tu briefing, integrando APIs, bases de datos y sistemas internos. Cada agente se entregará limpio, documentado y listo para producción, con pipelines reproducibles y README de despliegue. Usaré buenas prácticas de ML y visión por computadora cuando aplique, y orquestadores como FastAPI o Django. También puedo integrar LLMs (OpenAI, Azure OpenAI, Anthropic) y frameworks tipo LangChain o Rasa según el flujo de trabajo del proyecto. El agente será probado para asegurar ≥95 % de precisión sobre tus datos de test, desplegado en cloud (AWS/GCP/Azure) con logs y métricas básicas, listo para hand-over y mantenimiento. Tengo experiencia en proyectos de automatización y agentes de IA listos para producción, con despliegues seguros en entornos cloud. Gracias, Asif.

@abhisaini0188

Hello, As a Full Stack Developer with over 8 years of experience, I've spent the last few diving deep into AI-powered applications, machine learning integrations, and scalable SaaS platforms. Through this time, I've gained expertise in several languages and frameworks crucial for building intelligent systems that automate workflows, improve decision-making and deliver tangible business impact – just like the project you've described. Your scope of work aligns perfectly with what I do best: • I can build AI-powered web & mobile applications and develop/ integrate Machine Learning models as required. • My experience also extends to creating scalable backend systems for smooth data processing, which is essential for your data-driven requirement. • Additionally, I'm highly familiar with deploying and maintaining models across various cloud environments like AWS, GCP or Azure as you require. Let's niveau de discuter et partageons de l'intelligence para améliorer et faciliter les tâches groupe. Finally, partnering with me means benefiting from long-term support and collaboration even after the project is successfully completed. With Regards!

@TSCreators

Being an experienced developer, I bring to the table an array of skills specializing in AI and process automation. I can take your well-defined use cases and ensure they're transformed into functional, well-documented AI agents proficient at working within client's internal systems, APIs, and databases. My understanding of machine learning and computer vision married with my proficiency in LLMs and frameworks like Rasa enables me to extract or validate information as needed for optimum automation performance. What sets my work apart is the emphasis on scalable backend architecture, optimal data management, and reliable deployment in cloud-based environments ( AWS, GCP or Azure). As we progress, I provide the necessary documentation to ensure ease of maintenance post-delivery. Having toiled over high-volume data extraction projects consistently with quality results gives me confidence to assure you that I will execute your project to the best standards. As a freelancer with a strong ability for clear communication, a solution-oriented mindset, and effective delivery – joining your team feels like a natural fit. With my keen eye for detail and reliability proven through creating clean code structures paired with efficient workflows - You won't just receive a production-ready agent but unmistakably reap its long-term benefits too. Let's begin nuestra colaboración hoy mismo!

@shakilan4

Hola Puedo convertir tus casos de uso en agentes de IA funcionales y listos para producción, integrando LLMs, automatización y despliegue en cloud con código limpio y documentación clara; disponible para empezar de inmediato y escalar a más proyectos. Best regards, Shakila Naz

@webmasters486

Hi, I can step in to build production-ready AI agents that automate end-to-end workflows—reading, deciding, and acting across APIs, databases, and internal systems. I’ve worked with LLM integrations (OpenAI, Azure OpenAI, Anthropic) using frameworks like LangChain and FastAPI to create reliable, modular agents. My approach focuses on clean Python architecture, reproducible pipelines, and structured logic to ensure each agent executes tasks accurately and consistently. For each use case, I’ll translate your workflow into a scalable agent with proper orchestration, error handling, and logging. Where needed, I can incorporate machine learning or computer vision for data extraction and validation. Deployment will be handled on AWS, GCP, or Azure with monitoring, metrics, and secure API integrations, ensuring the system meets the 95%+ accuracy requirement and performs reliably in production environments. You’ll receive well-documented code, a clear README with setup and testing instructions, and a fully functional deployed agent ready for real-world use. I’m available to start immediately and confident in delivering high-quality automation solutions that can scale across your upcoming projects. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@sf264

Hello, I am fully available to get started immediately. I have a vast experience in Python and Machine Learning. I would love to work on your projects. Please message me to discuss more details. Looking forward to collaborate with you, Fahad.

@kareemmaize

Hola Para construir agentes que “lean, decidan y actúen sin intervención humana”, la parte más crítica es diseñar una arquitectura de ejecución controlada donde el agente tenga memoria, acceso a herramientas y lógica de decisión bien definida. Voy a abordar esto definiendo primero el flujo completo del caso de uso (inputs, decisiones, edge cases), y luego implementando el agente con orquestación (FastAPI + herramientas/API + LLM), incluyendo validación de resultados y mecanismos de fallback. Esto asegura que el agente no solo funcione, sino que sea confiable en producción. Esto significa que entiendo que tu objetivo no es un prototipo, sino agentes que realmente operen procesos completos con precisión y trazabilidad. Mi proceso es simple: Definir flujo, decisiones y métricas del agente Implementar memoria, herramientas y lógica de ejecución Validar precisión, desplegar y documentar Estoy listo para empezar esta misma semana con un primer caso de uso y llevarlo a producción rápidamente..

@abdulhamidh2

Hola, Encajo muy bien con lo que estás buscando. He desarrollado agentes de IA orientados a automatización que leen datos (APIs, PDFs, bases de datos), toman decisiones con LLMs y ejecutan acciones sin intervención humana, usando stacks como Python + FastAPI + LangChain + OpenAI/Anthropic. También tengo experiencia integrando flujos complejos con validación, logging y manejo de errores para entornos productivos. Mi enfoque es siempre práctico: tomo tu briefing, diseño el flujo del agente (input → razonamiento → acción), implemento lógica robusta con fallback y validaciones, y entrego un sistema estable, reproducible y bien documentado. Si el caso lo requiere, puedo integrar visión por computadora (OCR, clasificación, validación) para inputs no estructurados. Trabajo con código limpio, pipelines claros y despliegues en AWS/GCP/Azure, incluyendo métricas básicas y monitoreo. Además, me enfoco en lograr ese 95%+ de precisión real, no solo teórica. Estoy disponible para empezar esta misma semana y avanzar rápido contigo en los primeros casos. Saludos, Abudulhamid

@sarimshoaib1425

AI agents specialist here, been building bots that read, decide and act fully autonomously for 3+ years... connecting to APIs, databases and internal client systems is just the day to day for me. I work with OpenAI, Anthropic and Azure OpenAI regularly, and I'm equally comfortable building the agent from scratch in Python with LangChain or FastAPI as I am dropping it into whatever stack the client already has. Everything I deliver hits production ready, clean code, a proper README, deployment instructions and no dependency on me after handover. Can start this week. Send me the first use case and I'll give you exact timelines.