AI Video Engineer for ROLLCALL Backend

@ZohaibRoy

⭐⭐⭐⭐⭐ Experienced AI Video/GPU Engineer for ROLLCALL Backend Solutions ❇️ Hi My Friend, hope you are doing well. I’ve reviewed your project details and see you are looking for a Senior AI/GPU Engineer. You don’t need to look any further; Zohaib is here to help you! My team has handled 50+ projects similar to yours, focusing on AI video generation and GPU deployments. I will audit your existing environment, ensure compatibility, and fix the issues with Wan2.2, all while keeping your existing assets safe. ➡️ Why Me? I can easily complete your AI video generation project as I have 5 years of experience in Python, PyTorch, and GPU environments. My expertise includes API deployment, video processing, and troubleshooting complex systems. I also have a strong grip on NVIDIA GPUs, FlashAttention, and production AI inference. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Python ✅ PyTorch ✅ CUDA ✅ NVIDIA A100 ✅ RunPod ✅ FlashAttention ✅ FastAPI ✅ REST APIs ✅ FFmpeg ✅ Docker ✅ Linux ✅ AI Video Models Waiting for your response! Best Regards, Zohaib A100-WAN22

@shadabkhan92

As an AI engineer with extensive experience in advanced Python, and PyTorch environments, my skills align perfectly with your requirements for a project that requires a solid understanding of complicated and layered AI video models like Wan2.2. I've resolved similar compatibility issues effectively, by meticulously auditing the existing environment before making any changes. A key stand-out is my proclivity for creating reproducible startup/deployment configurations; once your project is complete and performing at its best, you won't need to manually repair the environment again upon restarts. This speaks to both my thoroughness and my intention to relieve you of future nagging issues. Central to the project's success is verifying the entire system - ROLLCALL Website → RunPod API → Job Created → Wan2.2 I2V A14B → NVIDIA A100 GPU Generation → MP4 Created → Job Completed → Video Returned → Video Plays Correctly on ROLLCALL Website - works seamlessly. A real end-to-end generation must be successful, and I will work diligently to ensure this happens. Appreciating your preference to keep the approximately 118GB Wan2.2 model intact unless necessary, I vow to preserve them as per your instructions while delivering an optimized solution

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced AI/backend engineer with strong expertise in Python, PyTorch, CUDA, FastAPI, Linux, Docker, FFmpeg, GPU inference, and production API deployment. I understand you need to productionize the existing ROLLCALL Wan2.2 I2V A14B backend on a RunPod A100 80GB, specifically resolving the FlashAttention/PyTorch ABI issue and validating the complete website → API → GPU → MP4 workflow without touching the existing 118GB model files. I’m skilled in PyTorch/CUDA, A100 inference, FlashAttention, Wan2.x-style video pipelines, FastAPI, RunPod/Linux, Docker, FFmpeg, job queues, and production deployment. I can preserve the existing models/project files, stabilize worker recovery and job states, verify T5/VAE/Wan2.2 loading, perform a real end-to-end I2V generation test, and provide a reproducible deployment configuration with exact package versions documented. I’m ready to start immediately and can focus on identifying the root cause first, then applying the minimum safe repair. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@topcreator100

Hello, With a strong background in GPU engineering and AI video, I'm confident in my ability to swiftly and effectively address your challenges with the Wan2.2 model of your ROLLCALL backend. Specifically, my extensive experience with Python, PyTorch, CUDA, Nvidia GPUs, FlashAttention and their respective ABI compatibility issues uniquely position me to tackle this project without resorting to random package reinstallation. I will thoroughly audit the existing environment so that any changes made are based on well-informed decisions. Importantly, I am driven by not just fixing the current problem but also building a rock-solid and reproducible infrastructure that'll spare you any future daunting repairs. My skills with RESTful API development, FastAPI/Uvicorn worker and the understanding of video generation processes will help ensure all aspects of your complex system no only work perfectly but culminate in an end-to-end successful video generation process for real acceptance. My knack for documentation will guarantee an easy platform for future deployments or system recovery without compromising on efficiency or quality. With our shared passion for a functional rollcall website and my commitment to producing high-quality solutions promptly, partnering with me promises a seamless journey from problem identification through solution execution. Let's discuss your goals, timelines and take those steps towards producing a robust and sc Thanks!

@Prutheus

A CUDA/PyTorch video backend is an infrastructure problem as much as a model problem — GPU jobs must queue, or one upload takes the service down. - FastAPI service with a job queue and GPU worker(s), so requests never block - PyTorch/CUDA inference wrapped with proper batching, timeouts and retries - Monitoring: job state, duration, failures visible rather than silent Proof: I run Python AI pipelines and containerised services in production for industrial clients — queue-and-worker architectures with unattended runs. What does the model do per video, and what's the expected throughput? Also: your own GPU box or cloud? That decides the design. Keen to discuss. Martin

@Muhammadzeesha59

Hello Sir/MAM I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure , Ubuntu , OpenAI , Desktop Applications. Web Development I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@emilesd617

Hi, I am a Python AI developer with 8 years of rich experience in software development, with a background in GPU inference, PyTorch, CUDA, AI model deployment, FastAPI, REST APIs, and production AI systems. I am familiar with Python, PyTorch, CUDA, NVIDIA GPUs, RunPod, FlashAttention, Hugging Face, FastAPI, FFmpeg, Docker, and AI video inference. For the Wan2.2 issue, I would first audit the complete environment instead of blindly reinstalling packages. I would verify the NVIDIA driver, CUDA runtime, Python version, PyTorch build, FlashAttention version and wheel compatibility, compiler settings, and ABI compatibility to identify the exact cause of the undefined symbol error. I can then repair the environment while preserving the existing 118GB Wan2.2 model files and ROLLCALL project data. After that, I will verify Wan2.2, T5, VAE, A100 inference, FFmpeg, and the FastAPI job workflow, including queued, generating, completed, and failed states. I will also test the complete website to RunPod to GPU generation to MP4 delivery flow and provide a reproducible startup configuration with the final versions documented. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@mahads31

With a comprehensive understanding of Python, PyTorch, CUDA, NVIDIA A100/H100, and RunPods, I have the skillset needed to tackle your AI Video Engineer for ROLLCALL Backend project. My expertise extends to FlashAttention, Hugging Face, diffusion/video models, FastAPI, REST APIs, Linux, FFmpeg, Docker and production GPU inference - the crucial components that your project demands. I understand the unique challenge posed by the compatibility issue regarding the Wan2.2 model with FlashAttention/PyTorch ABI. Rest assured that my approach doesn't involve randomly reinstalling packages but rather involves a meticulous audit and determining the correct compatible combination of NVIDIA driver, CUDA, Python, PyTorch and other significant dependancies. Additionally, I value your insistence on preserving existing files and replicability - this is something I prioritize in every project. Operating across multiple industries with international clients, my work style is focused on delivering clean, scalable systems built for enduring success. I don't just want to solve your problems for now but ensure your future system restarts don't require manual induction from scratch. Choose me as your technology partner and let's deliver a high-impact digital product together that exceeds expectations and fuels lasting growth for ROLLCALL platform!

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@MZITSERVICES

I am an experienced Python framework developer specializing in Django, Flask, and FastAPI with a strong track record of building secure, scalable, and high-performance applications. I develop powerful backend systems, RESTful APIs, automation tools, dashboards, and database-driven platforms with clean, optimized code. My focus is on speed, reliability, and long-term maintainability. I can handle complete project development, bug fixing, API integrations, deployment, and performance optimization efficiently. With strong problem-solving skills, fast communication, and commitment to deadlines, I am confident in delivering professional solutions that exceed expectations and help grow your business successfully. I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD

@sabaehsan

Greetings, A100-WAN22. You need a seasoned AI/GPU engineer to resolve compatibility issues in your ROLLCALL backend. I’ll begin by auditing your environment to identify the specific conflict causing the undefined symbol error with FlashAttention. To do this, I would check the installed versions of PyTorch and ensure they are compatible with the current NVIDIA driver and CUDA version. Additionally, I'd verify the FlashAttention build for ABI compatibility with your existing setup. My experience with Python, PyTorch, and NVIDIA GPUs, alongside deploying large AI models, positions me well to stabilize your system. I understand the importance of preserving your existing model files and project integrity while delivering a reliable production-ready environment. I will ensure that the entire workflow operates smoothly from the ROLLCALL website to video generation and playback. Best regards, Saba Ehsan

@bohdan38

As an experienced Full-Stack Developer with extensive knowledge of Python and PyTorch, I believe my skills are perfectly aligned with your project requirements. I have a history of deploying large-scale AI models without compromising efficiency or quality, an attribute that will be indispensable in managing your complex task. My experience also extends to working with GPU inference systems, including NVIDIA A100 and H100 models, which will prove invaluable as we fine-tune Wan2.2 to overcome the existing FlashAttention incompatibility issue. In addition to python proficiency, I bring along expertise with FastAPI, FFmpeg, RunPod, and other tools listed under 'REQUIRED EXPERIENCE'. Moreover, my commitment to providing clean codes and reliable documentation aligns perfectly with your goal of creating reproducible start-up/deployment configurations. This approach will save you from manual repairs should a similar situation arise in future, ensuring better scalability for the project! Boasting a successful record of delivering efficient applications with exceptional UI/UX across various devices, I am confident that I can not only fix the existing problem but also enhance the entire system's performance. Let's work together to guarantee a fully-functional end-to-end video generation process; from ROLLCALL website, through RunPod processing and back - all orchestrated seamlessly! It will be a pleasure to contribute my top-notch service quality

@SBITServices

Hi, I have over 5+ years of experience in both frontend and backend development. I will do the specified tasks. Key Areas of Expertise: a) Full-Stack Development: Proficient in both frontend and backend technologies Frontend: Next, Js, ReactJS, Bootstrap, JavaScript, jQuery Backend: Laravel, CodeIgniter, Node.js b) API Integration: Experienced in integrating and working with APIs to enhance application functionality. c) Microservices: Skilled in developing and integrating microservices for scalable and efficient solutions. d) Database Management: Competent in managing databases with Postgresql, MySQL, MongoDB, and Oracle. d) Server Handling: Adept at handling server environments such as AWS, Google Cloud, VPS, Apache, and Nginx. Lets connect in chat so that We discuss further. With Regards, Sai

@mughiraaa

a100-wan22 hi, i have reviewed the details of your project. i have experience with pytorch, cuda, a100 gpu inference, flashattention, fastapi, docker, and production ai environments. before reinstalling anything, i would inspect the current python and pytorch versions, cuda runtime and toolkit, nvidia driver, gpu capability, flashattention build and wheel compatibility, and the compiled extension abi against the installed pytorch version. i would also check the exact wan2.2 dependency requirements and python version to identify the root mismatch first. i will preserve the existing model and project files, repair the environment, verify wan2.2, t5, vae, a100 inference, ffmpeg, and stabilize the fastapi job workflow. i will then perform a real end to end generation from rollcall to completed mp4 and create a reproducible startup configuration with exact package versions. can we schedule a quick meeting to discuss the project in detail. it will help me understand your needs better and give you a clear plan with timeline and budget. i will also share my portfolio during the chat. mughiraa

@krupnovdenis

Hello! We can take over the backend repair and productionization of your AI video pipeline. 1. Which part is currently blocking startup most: PyTorch, FlashAttention, or the Wan2.2 import? 2. Do you want us to keep the existing model files and only repair the runtime stack? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@durgesh8527

As an experienced Full-Stack developer with a specific expertise in AI development, I have worked extensively with tools and technologies mentioned for your project. In fact, my proficiency in Python, PyTorch, CUDA, NVIDIA A100 and more aligns perfectly with what you're seeking. I've deployed numerous large-scale AI video models like Wan2.x, HunyuanVideo, CogVideoX and others, making me adept at understanding the complexities involved in handling them. My knowledge of Linux will certainly ensure smooth integration of FFmpeg while proper Docker usage will help maintain the integrity of your development environment. Additionally, my experience in API development and integration will be of great use for implementing and stabilizing the REST APIs you require for ROLLCALL. I'm well-versed in deploying production GPU inference models ensuring efficient processing and optimal resource utilization. I will diligently conduct a thorough audit of your current backend setup before initiating the necessary changes to align it positively with the functional needs of your video-generation backend.

@Cruz1217

A100-WAN22 The undefined symbol error usually points to a mismatch between the FlashAttention binary and the PyTorch‑CUDA ABI that the runtime expects. I’ll verify the PyTorch build and its CUDA toolkit, then compare the A100 driver version to the FlashAttention wheel requirements. After aligning those components I’ll rebuild the runtime, keep the 118 GB Wan2.2 files untouched, and test the import before any model changes. A common mistake is reinstalling the whole stack without first isolating the ABI mismatch, which often wastes time. By locking driver, CUDA, PyTorch, and FlashAttention to compatible releases, the FastAPI worker will start cleanly and return stable job IDs. You’ll see a reliable full video generation flow and a documented setup that survives pod restarts.

@brazenest

Hi, I see your ROLLCALL backend needs a PyTorch/CUDA fix for Wan2.2’s FlashAttention issue. I’d start by auditing the current environment’s CUDA/PyTorch/FlashAttention versions, cross-referencing NVIDIA’s compatibility docs to identify the ABI mismatch. I previously debugged a PyTorch-CUDA conflict in a video model deployment, resolving a similar undefined symbol error by pinning versions and rebuilding extensions. My approach ensures minimal disruption to your 118GB model files and preserves existing workflows. Happy to chat if you’d like to walk through the details.

@jeanpatrickr8

A100-WAN22 I am excited about the opportunity to assist with your AI video-generation backend for ROLLCALL. I understand the urgency of resolving the FlashAttention compatibility issue and the need for a stable production environment. With extensive experience in GPU inference, Python, PyTorch, and CUDA, I have successfully worked on deploying complex AI models in production settings. My proficiency with NVIDIA A100 GPUs, along with my understanding of FlashAttention and ABI compatibility, positions me well for this project. To address your technical challenges, I propose the following approach: - Conduct a thorough audit of the existing environment to identify compatibility issues with NVIDIA drivers, CUDA, and Python/PyTorch versions. - Assess FlashAttention and its dependencies to ensure they are built correctly and compatible with the current stack. - Preserve the existing model files and project assets while implementing necessary fixes to the Python runtime. - Test the entire workflow from the ROLLCALL website through to video generation, ensuring all endpoints function as intended. I am eager to get started on this project and am confident in my ability to deliver quality results on time. I look forward to discussing any further details and how we can work together to achieve a successful outcome.