Technical Co-Founder for AI Automation Ventures

@diektech

Hi — Elias here from Miami. I see you're looking for a technical co-founder for your AI automation ventures. The goal seems to be building a robust portfolio of projects that can scale and adapt as technology evolves. What usually matters most here is ensuring that the architecture is not only functional but also maintainable. A common issue in systems like this is managing complexity, especially when integrating multiple AI components. The tricky part is usually establishing a seamless flow between various automation tasks while ensuring reliability and performance. My approach would involve designing a modular architecture that allows for easy updates and expansions. This way, we can incorporate new features without significant overhauls. I've worked on similar projects involving machine learning and API integrations, focusing on stability and user experience. A few questions to better understand the scope: Q1 – What user roles and permissions do you envision for these projects? Q2 – Are there specific AI functionalities or integrations you prioritize? Q3 – What are your scaling expectations as these projects evolve? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@Fazeennazar

Hello, I’m interested in joining this as a hands-on technical co-founder and taking ownership of the engineering, automation, and AI side rather than simply completing assigned tickets. I’d start with the restaurant/hospitality booking bot, because it combines practical AI automation, API integrations, conversational workflows, and a clear path toward a reliable SaaS product, while I’d also be interested in the prediction projects as the platform matures. I’m comfortable with Python, production APIs, ML pipelines, LLM/voice automation, Docker, cloud infrastructure, webhooks, CRM integrations, and building reliable systems from prototype through production. I can take responsibility for architecture, implementation, model/automation decisions, testing, monitoring, and continuous iteration based on real-world results. I’m comfortable starting part-time and working with an ownership mindset, including the proposed equity/profit-share structure and capped expense reimbursement if none of the projects commercialize. I’d be happy to share relevant examples of my technical work and discuss which 1–2 projects should be prioritized during the first 90 days. Best regards

@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

@sumitsthakur

I'm drawn to the restaurant booking bot project given its clear commercial path and need for robust integrations. My approach would focus on building reliable conversational flows using Python/React, integrating with POS systems via REST APIs, implementing no-show reduction triggers, and developing an admin dashboard for analytics. I can handle the backend with FastAPI, PostgreSQL for data, and AWS for deployment. The priority is creating a production-ready system that turns pilots into paying customers through seamless WhatsApp/Telegram booking and table management. Let's discuss how to structure the initial development phase and define success metrics.

@muhammadali33345

Hello! I'm Muhammad Ali, a seasoned developer and technical consultant. My expertise lies in Python, Machine Learning (ML) and Software Development. Over 7 years in the industry, I have developed a range of skills that would be highly valuable to your projects. My understanding of the necessary technical languages, paired with my capacity for delivering high-quality results, make me an ideal candidate for the project at hand. In particular, I want to draw your attention to my experience and knowledge in ML-using approaches like LightGBM and ensemble techniques - a crucial aspect of your first project involving prediction trading on Polymarket. Additionally, my work across varying domains including making APIs, bots, and rapid deployment would be a major value-add as you need somebody who can adapt quickly and take complete ownership while shipping fast. Not only will I provide the technical know-how but also ensure reliability and robustnes

@PINESCRIPTERR

Hi, I understand this is intended as a hands-on technical co-founder role rather than a conventional freelance engagement, with ownership across architecture, Python/ML, automation, integrations and production reliability. The projects cover several areas where I can contribute, including Python production services, ML pipelines, data processing, APIs, automation, AI agents and trading-system architecture. I’m particularly interested in the combination of model development, calibration, real-time data pipelines and practical productisation. I would initially focus on the YouTube/Polymarket and hospitality booking projects. For the prediction system, I can work on model evaluation, calibration, feature pipelines, risk controls and the reliability of the paper/live execution architecture. For the hospitality product, I can contribute to the conversational workflows, booking integrations, automation and SaaS architecture, with reliability and measurable business outcomes kept central. I can also contribute to the football oracle and voice automation project as the portfolio develops. For the voice system, I would keep the calling, dialogue, CRM and compliance layers clearly separated so the platform can be tested and improved systematically. I won’t fabricate GitHub links or previous project claims. My relevant technical background includes Python, ML/AI, APIs, automation, trading systems, Docker and cloud development. Best regards, Houssame

@maxscender

I’d take the restaurant/hospitality booking bot first. The upside is clear, but the real problem is operational trust: venues won’t pay if bookings double-book or reminders fail. I’d make table inventory and booking state the source of truth, then layer WhatsApp/Telegram confirmations, waitlists, reminders, and POS/calendar sync around it. That proves recovered revenue through fill-rate and no-show analytics, making voice and multilingual natural expansions. I’m aligned with the equity-first model and biased toward owning architecture and shipping the core loop.

@JustinJcob

I got you! I’m aligned with your technical co-founder vision across the AI trading, oracle, hospitality booking, and voice automation products, with ownership on architecture, production Python services, APIs, bots, and fast shipping. I’d take the restaurant booking bot first for fastest commercial validation and SaaS upside, while keeping Polymarket as a high-alpha technical track. I’m young, a fast learner, available 24/7, and ready for equity + capped expense reimbursement terms; I can commit 25–30h/week for the next 90 days. Get the demo first before you pay. I’ll share relevant bot/ML work and a short LightGBM/calibration write-up in chat. Two key questions: for Polymarket, do you already have paired view/order-book/trade logs for backtesting? For hospitality, which pilot channel is warmest: WhatsApp, voice, or Google Calendar? Let’s chat and discuss the answers. Kind regards, Haroon Z

@dvcontact

Hello Sir, Are you ready to explore a groundbreaking co-founder opportunity in AI automation that could reshape industries? Our approach empowers you with equity and true ownership of innovative projects, ensuring maximum potential impact. Let's connect and discuss how your expertise can drive these ventures to success. Best, Smith

@juanpablomacf

1) I'd take the Polymarket YouTube-views bot first - it's the closest to production, has a concrete milestone (~Christmas/January), and forecasting + calibration is exactly where I'd add the most value fastest, without needing to build a new domain pipeline from scratch like the football oracle or voice products. My focus wouldn't be the ensemble architecture itself - LightGBM + XGBoost + CatBoost is a sound approach - but the calibration layer: σ correction and certainty banding are what actually determine whether Kelly-style sizing is safe or overconfident. I have ML/forecasting experience with LightGBM/XGBoost and trading/prediction-market bots specifically, so I'd start by auditing the current backtest methodology - checking whether the optimal_dt resampling and early-stopping setup is being validated against genuinely out-of-sample YouTube events, not just held-out rows from the same events, since that distinction matters a lot for a system about to go live with real capital. 2) Happy to share relevant work (LightGBM/forecasting/bots) directly once in touch. 3) Available part-time to start, roughly 10-15 hrs/week for the next 90 days, ready to scale if the bot hits traction toward the milestone. 4) Confirmed - comfortable with equity + capped expense reimbursement if nothing commercializes. Juan Pablo

@Aaleen110

The core technical risk is building production services that handle real-time API data feeds without data loss or significant latency. I will use Python and FastAPI to build these services, creating robust data ingestion pipelines that process data from external APIs directly into our storage layer, also ensuring that any automation logic is built with ML models trained for this specific task. What is the target latency for these real-time data feeds? I need confirmation on the initial equity split and the expense reimbursement cap before we can proceed. I have a 5.0 rating across 10 reviews on here, and Preferred Freelancer status.

@jonasdedzo

Hi, I looked at your requirements and I’m interested because this is fundamentally about taking ownership of AI products from model design through reliable production systems, not simply completing isolated development tickets. I’m also particularly interested in Projects 1 and 2 because of the emphasis on probabilistic modeling, calibration, backtesting, and trustworthy outputs. I’m comfortable working across Python, ML pipelines, APIs, conversational AI, automation, and production deployment, with an ownership mindset around architecture and reliability. Relevant work: I can provide examples of my AI automation, Python, API, conversational AI, and production work directly in the conversation. Availability: I can commit part-time consistently over the next 90 days, with flexibility to increase involvement as a project gains traction. Equity: I’m open to an equity/profit-share structure and the proposed expense-reimbursement arrangement, provided the ownership, IP, responsibilities, vesting, and reimbursement terms are documented clearly before deep work begins. I’d prefer to start with one product, establish measurable milestones, validate the architecture with real users, and expand my ownership as traction justifies it. Best, Jonas Dedzo

@mayr81

With a strong background in AI automation, Python, and software engineering, I believe I'm well-suited for the role of your technical co-founder. Having successfully developed automation solutions and managed technical projects in the past, I can deliver the hands-on experience you're seeking for these high stakes products. In terms of your football prediction oracle, my skills in machine learning (particularly with GBMs) align closely with the needs of that project. My experience includes building prediction models, implementing features such as Elo/strength ratings and intensively calibrating models for better accuracy. These skills will enable me to create a reliable and efficient product that resonates with your target audience: tipsters and partners. Lastly, the hospitality booking bot. With this being the most VC-backable of your ventures, it requires someone with both sound technical direction and the ability to turn pilots into paid traction. This is where my skills in product development, integration, and reliability come into play. I can guarantee an automated system that reduces no-shows, improves efficiencies through integrations with POS/Google Calendar/CRM systems while delivering detailed analytics that measure success based on fill rate and revenue recovered. Don't wait any longer! Let's make magic happen together!

@AndrewJSMAN

I've built and tuned LightGBM/XGBoost/CatBoost ensembles for trading systems and deployed Python ML pipelines on AWS/Docker. The YouTube bot's feature engineering and calibration logic aligns with my work on real-time forecasting systems. I'll optimize the ensemble, validate σ calibration under live market conditions, and ensure reliable trading execution. For the voice bot, I've used Twilio/Telnyx for compliance-aware dialers with parallel calling and CRM syncs. I'll focus on reliability, conversion metrics, and TCPA compliance. I'll start with the YouTube bot and voice RE bot, as they require immediate tuning and live ops. I can commit 20–30 hours/week for the next 90 days. I'm available immediately. Thanks, Andrii.

@abdulhamidh2

Hi, I’d start with the restaurant booking bot because it combines AI, automation, voice, APIs and a clear path to a real SaaS product. I can take ownership of the booking flows, integrations, reliability and product side, then expand into the other projects as traction develops. I have experience with Python, AI agents, APIs, webhooks, CRM flows, voice agents and production systems. I can commit consistent part time hours over the next 90 days. I’m also comfortable with the equity structure and the agreed expense reimbursement approach. Thanks

@longngoc2307

Hi, there. "RELIABLE AI AUTOMATION PRODUCTS" — you need a technical partner who can own model quality, integrations, and production reliability while turning the strongest idea into something commercially usable. I’d start with the restaurant booking bot because it has a clear operational workflow: conversation -> availability -> booking -> confirmation -> reminders. I’d keep provider integrations modular and make every booking state explicit, so failures, duplicate requests, cancellations, and provider timeouts don’t create inconsistent reservations. Which project do you want to validate first, and do you already have a working codebase for any of the four? Looking forward to working with you. Clarification Board:

@shakilan4

Hi, I’m interested in joining as a hands-on technical co-founder and can contribute strong Python, AI/ML, API, automation, and production engineering skills across these projects. I’ve read your details carefully and would initially focus on the restaurant/hospitality booking bot, while also supporting the prediction and voice projects as traction develops. I’m comfortable with an ownership-driven role, async collaboration, and building from prototype through reliable production systems. I’m also open to discussing the equity/profit-share structure and expense reimbursement terms before starting. Ready to start immediately. Best regards, Shakila Naz

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi, thank you for checking my proposal and sharing the detailed project brief. I can build your AI automation products using Python with high-quality, scalable design. I will deliver: - **Polymarket Trading Bot**: Ensemble forecasting with LightGBM tuning and robust backtests. - **Football Prediction Oracle**: Sealed timestamp probabilities and reliable data pipelines. - **Restaurant Booking Bot**: Conversational flows with seamless CRM integrations and analytics. - **Real Estate Dialer**: Compliance-aware voice AI with reliable pipelines and metrics. You will also receive ongoing support documentation and detailed training for project ownership. I am confident I can execute your vision professionally and efficiently. Looking forward to discussing the timeline and next steps. Best regards, Chirag Pipal

@revival786

Greetings! I am a hands-on technical builder and would take the Polymarket YouTube-views trading bot first. It plays to my strongest stack: Python pipelines, LightGBM, XGBoost, and CatBoost ensembles, calibration, sigma correction, Kelly-style bankroll, and live executor reliability, with Docker and AWS for ops. The Christmas and January milestone is realistic. Happy to share relevant GitHub or write-ups on forecasting and bot work, confirm my hours per week for the next 90 days, and accept equity plus receipt-based expense reimbursement only if nothing commercialises. Thanks, Revival