Full-Stack Developer for AI/ML Startup

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Full-Stack Developer for AI/ML Startup. I am an experienced full-stack Python developers with skill sets in: Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL AI/ML & Data Science: Model development, training & deployment, NLP, Computer Vision, Predictive Analytics, Deep Learning React, JavaScript, jQuery, TypeScript, NextJS, React Native NodeJS, ExpressJS Web App Development, Web/API Scraping API Development, Authentication, Authorization SQLAlchemy, PostgresDB, MySQL, SQLite, SQLServer, Datasets Web hosting, Docker, Azure, AWS, GCP, Digital Ocean, GoDaddy, Web Hosting Python Libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc. Please send a message so we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@bhartimalu

Hello, I am excited about the opportunity to work with your AI/ML startup. - I have extensive experience in full-stack development, particularly in AI/ML projects. - My plan includes: 1. Requirement analysis 2. Prototyping 3. Development using Python, TensorFlow, and React 4. Testing and deployment - I ensure regular communication through weekly updates and feedback sessions. - My commitment to quality and timely delivery makes me a great fit for your team. Looking forward to discussing your vision further. What specific features do you want to prioritize? Do you have a preferred tech stack in mind? Regards, Bharti M.

@dushyant317

I bring 13 years of professional experience delivering high-quality results. I have strong expertise in all the required skills listed for this project. My approach ensures accuracy, clear communication, and timely delivery. I am confident I can exceed your expectations with efficient, reliable work. Looking forward to contributing to your project—ready to begin immediately.

@naseeb1995

As a seasoned expert with over a decade of experience in digital marketing specifically leveraging advanced AI technologies, I believe that I possess the unique skill set that your AI/ML startup needs to successfully take your OpenAI-powered agents and Streamlit dashboards to the cloud. With my specialized expertise in developing Restful APIs, writing clean and testable code, and optimizing agent inference, latency and cost, I am confident that I can drive your software's performance to new heights. In terms of the cloud infrastructure and DevOps side of the project, my experience in designing cost-effective AWS architectures, setting up auto-scaling for both long-running services and serverless workloads, and building CI/CD pipelines aligns perfectly with what you're looking for. Additionally, as someone who highly values organized processes and quality control, I will ensure a streamlined codebase through meticulous documentation, best coding practices with automated testing .....

@Vermapratham1234

As your project revolves around AI Development, Full-Stack Engineering, and deploying infrastructure on AWS, I am confident that my well-rounded skill set and 5 years of experience will perfectly align with your needs. My work has involved building and scaling advertising systems that generate enormous results for businesses. With this expertise combined with my ability to create intelligent AI agents capable of automating workflows, lead generation and client engagement, I bring a unique blend of programming finesse and business acumen. Throughout my career, I've embraced technology changes and have thrived in challenging environments. As such, your 0-to-1 mission not only excites me but resonates strongly as it reinforces the sort of high-stake innovative projects that I enjoy tackling head-on. Apart from delivering optimized code, I emphasize clean testable code – a necessary element when working with CI/CD pipelines to ensure efficiency and smooth collaboration. Let's leverage my experience to build a tailored-fit cloud architecture for your project on AWS that is not only cost-effective but also scalable as per the business requirement.

@AnasBhatti01

Hello, I can take your OpenAI-powered agents and Streamlit dashboards from local development to a production-ready, scalable cloud infrastructure. With experience in full-stack Python development, AWS architecture, and DevOps, I can own the entire lifecycle—from agent logic and API development to deployment and monitoring. What I’ll deliver: Agent & backend development: Build scalable Python services integrating OpenAI Agents SDK, Composio, Supabase, Zapier, and Intuit Timesheet; develop RESTful APIs and event-driven workflows; ensure test coverage and optimized inference. Cloud infrastructure & DevOps: Architect cost-effective AWS setup (EC2, Lambda, S3, API Gateway); implement CI/CD pipelines with GitHub → AWS; automate deployments via Terraform/CloudFormation; set up monitoring, logging, and alerts. Code quality & process: Define repo structure, branching strategy, and PR workflow; implement Python linting, formatting, and testing standards; document architecture, deployment, and runbooks. I excel at 0-to-1 technical roles, establishing foundations for future growth while keeping costs lean and code maintainable. I’d love to discuss your current setup and how we can launch production-ready agents efficiently. Best regards

@Trickr

Balancing auto-scaling for long-running EC2 services versus event-driven Lambda is a classic 0-to-1 challenge for agentic apps, especially when orchestrating tools like Composio. Getting the IaC foundation right with Terraform from day one is the only way to avoid major tech debt as you scale beyond that two-person founding team. For a similar AI fintech client, I architected a serverless agent system on AWS that cut their inference costs by 40% through aggressive optimization. We found that most agent startups fixate on model latency, but parallelizing external API tool calls—like to Supabase or Intuit—is often the real key to cutting user-perceived response times in half. It’s a huge, often-missed, competitive advantage. This sounds like a fantastic build. Out of curiosity, what's the most critical agent workflow you need to get into production first—the one tied to Supabase data or the Intuit timesheeting?

@mohamedelamra

Hello, I’m a Full-Stack AI/ML Developer specializing in taking OpenAI agents from local prototypes to production-ready AWS infrastructure. Expertise • Python (3+ years), OpenAI API, Agents SDK • REST APIs (Flask/FastAPI), agent orchestration, external integrations • AWS: EC2, Lambda, S3, API Gateway, CloudWatch • Infrastructure as Code (Terraform/CloudFormation) • CI/CD with GitHub Actions → AWS • Testing (pytest) and inference cost optimization Delivery Plan (≤4 weeks) Week 1: AWS architecture & infrastructure Week 2: Agent services & APIs Week 3: CI/CD & automated testing Week 4: Monitoring, optimization & documentation Experience ✓ Production OpenAI systems ✓ Startup-focused AWS architectures ✓ Streamlit dashboards ✓ Cost-efficient cloud setups Deliverables • Scalable AWS infrastructure • Production-ready Python services • CI/CD pipeline • Monitoring & documentation Timeline: Up to 4 weeks (can be faster) Budget: ₹10,000 INR Available to start immediately. Best regards, Mohamed

@pransquare

With my extensive experience in Java and Python, and a demonstrated passion for Cloud, DevOps, and Frontend Technologies, I am confident that I am the perfect fit for your venture. As an engineer at Pransquare, I have worked on deploying applications to AWS using various services such as EC2, S3, Lambda, API Gateway and CloudWatch - exactly what your project requires from its DevOps Engineer. My knowledge extends beyond mere coding; it includes designing lightweight architectures that optimize resource usage without compromising scalability or cost-effectiveness. Your project not only demands technical skills but also a knack for ownership. My fascination with building things "from 0 to 1" resonates deeply with the spirit of your project. In one-man-stack roles like this, communication is key, and I consistently value it as it empowers effective decision making. At Pransquare we believe in a collaborative workflow that helps share knowledge in order to build quality software. Lastly, let me highlight my affinity for "clean" code that is testable and well-documented - essential traits given your need for comprehensive test coverage, good code-quality practices & thorough runbooks for everyday tasks. I bring a keen focus on optimization which would be invaluable while working with agent inference strategies. Let's come together to not only meet the needs of your business but transcend them with groundbreaking technology!

@yashwanthv30

Hello ? I’m a Full-Stack Python developer with strong experience in Agentic AI systems, cloud infrastructure, and production-ready APIs. I’ve built scalable Python services integrating OpenAI Agents SDK, REST APIs, and event-driven workflows, with a clear focus on reliability, latency, and cost optimization. I can own the end-to-end architecture—from designing clean agent logic and orchestration layers to deploying secure, cost-effective AWS infrastructure (EC2, Lambda, API Gateway, CloudWatch). I’ve set up CI/CD pipelines (GitHub → AWS), written infrastructure as code, and implemented monitoring, logging, and alerting for real-world usage. I prioritize clean, testable code, clear documentation, and long-term maintainability. Given the early-stage nature of your startup, I’m comfortable taking architectural ownership and making pragmatic technical decisions that support fast iteration and future scale. I’d love to help you build a solid foundation for your AI platform and grow it into production with confidence. Best regards, Yashwanth Varakuti

@HarshithaDR

Hi, I’m a Full-Stack + DevOps Engineer experienced in taking AI/agent-based products from local development to production on AWS. Your 0→1 setup—owning architecture, backend, and DevOps end-to-end—is exactly the kind of work I do best. I’ve worked extensively with Python-based services, OpenAI-powered workflows, event-driven APIs, and AWS, and I’m comfortable making early architectural decisions that balance speed, reliability, and tight cost control—especially important for bootstrapped teams. I’m used to working directly with founders, taking full ownership of the system lifecycle, setting up clean engineering standards, and preparing the foundation for future team growth without unnecessary complexity or cloud spend. If you’re looking for someone who can move quickly, think independently, and turn an early-stage AI product into a stable production system, I’d be happy to discuss your current setup. Best, Harshitha

@girisharora

Hello, if you are looking for quality work connect with me -----This role reads like a true 0→1 mandate, take OpenAI-powered agents and Streamlit dashboards, wrap them in solid Python services and APIs, and stand up a lean but production-ready AWS stack with CI/CD, IaC, and observability baked in. The mix of OpenAI Agents SDK, Composio, Supabase/Zapier integrations, and AWS (EC2/Lambda/API Gateway/S3/CloudWatch) is very aligned with recent work done for AI-heavy startups, both on the agent side and on the DevOps side.​ Let's connect. **A couple of things worth aligning on early:** 1) Do you already have any opinionated constraints on AWS (e.g., must be VPC-only, no Lambda for core flows, specific regions), or is the architecture fairly greenfield? 2) What’s the initial traffic / usage expectation for these agents so the infra can be sized and auto-scaling policies tuned realistically?​ For a 2–3 week 0-to-1 engagement covering architecture, implementation, CI/CD, infra-as-code, monitoring, and documentation, a ballpark for an end-to-end build-out would be around ₹1,20,000–₹1,60,000, depending on final scope and iteration cycles. Let's connect and finalise the project and its timeline and budget accordingly. Regards Girish

@DylanZASA

Good day, I trust you are well. I will assist by architecting your AWS cloud infrastructure and implementing robust full-stack agent logic, ensuring a scalable and cost-effective production environment that serves as a strong foundation for your startup's growth. Immediate ownership includes delivering a seamless CI/CD pipeline, comprehensive code standards, and full lifecycle deployment aligned with your strategic goals. I bring deep expertise in cloud infrastructure design and API development, and skilled proficiency in Python backend services integration. While I am new to freelancer, I have a lot of experience in this field and have completed similar projects to yours recently. How do you currently plan to balance latency optimization with cost efficiency under production load? Please feel free to reach out to me at your convenience to discuss your project in more detail.

@prachiagrawal007

I have worked in small teams where the job was to take something that runs locally and turn it into a stable, production setup without overcomplicating things. That includes shaping the agent logic, exposing clean APIs, and putting a sensible AWS deployment and CI/CD flow in place. I am comfortable owning the full loop — tightening the Python services, integrating OpenAI and third-party APIs, setting up a lean AWS stack, and making sure deployments, logging, and costs are under control. I have also handled repo structure, testing standards, and basic runbooks so things don’t fall apart as the codebase grows. I am used to working directly with founders, making trade-offs clear, and moving things into production step by step rather than trying to design everything upfront. Happy to start by reviewing what you have today and suggesting a practical path to your first production release.