You will get Company AI-Enablement (predictive intelligence and strategic growth)
Project details
✨ Whatdahack?! delivers strategic AI-Enablement that goes beyond mere code. We tackle the primary obstacle to enterprise AI: unusable data.
Unlike vendors who deliver single, siloed ML models, our approach ensures sustainable, scalable intelligence:
C-Suite Strategy First: We align AI initiatives with your biggest growth opportunities, ensuring high-ROI projects before any code is written. We transform strategic uncertainty into a data-backed roadmap.
Data Foundation Mastery: We leverage our bespoke software expertise to break data silos, integrate systems, and build the clean, governed data core that is essential for accurate, long-term predictive models.
Sustainable MLOps: We implement production-ready solutions with built-in monitoring and governance. We transfer the full Source Code and Model Documentation, empowering your team for continuous management and preventing the "black box" risk.
We don't just give you an AI model; we establish the strategic, technical, and governance foundation for you to become a proactive, predictive organization.
Unlike vendors who deliver single, siloed ML models, our approach ensures sustainable, scalable intelligence:
C-Suite Strategy First: We align AI initiatives with your biggest growth opportunities, ensuring high-ROI projects before any code is written. We transform strategic uncertainty into a data-backed roadmap.
Data Foundation Mastery: We leverage our bespoke software expertise to break data silos, integrate systems, and build the clean, governed data core that is essential for accurate, long-term predictive models.
Sustainable MLOps: We implement production-ready solutions with built-in monitoring and governance. We transfer the full Source Code and Model Documentation, empowering your team for continuous management and preventing the "black box" risk.
We don't just give you an AI model; we establish the strategic, technical, and governance foundation for you to become a proactive, predictive organization.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$12,000
|
Standard
$25,000
|
Advanced
$35,000
|
|---|---|---|---|
| Delivery Time | 30 days | 70 days | 30 days |
Number of Revisions | 2 | 3 | |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | - | - | |
Taxonomy | - | - |
Frequently asked questions
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AB
Anatoli B.
Jul 4, 2025
Founding Technical Partner – AI Engineer / Architect for Scalable Fintech SaaS
Roman is the elite AI Solutions Architect and Lead Technical Partner we were searching for. He provided the critical strategic vision needed to design our complex, production-grade application from the ground up. His architectural design was masterful, leveraging LangChain and LangGraph to architect a sophisticated system. A key highlight was his work optimizing LLM Graph performance and reasoning capabilities by implementing advanced agentic patterns like ReAct and Reflexion, showcasing a rare level of expertise.
His commitment to commercial-grade quality was evident in his integration of LangSmith for robust MLOps and observability from day one. Roman is a top-tier architect who turns ambitious vision into a concrete, production-ready reality. We give him our highest possible recommendation for any complex AI system development.
His commitment to commercial-grade quality was evident in his integration of LangSmith for robust MLOps and observability from day one. Roman is a top-tier architect who turns ambitious vision into a concrete, production-ready reality. We give him our highest possible recommendation for any complex AI system development.
NR
Nikita R.
Jul 4, 2025
AI-Powered Multi-Protocol DeFi Wealth Manager - Mobile Solution Architecture & Feasibility Test
Roman delivered an exceptional and highly detailed architectural design for our AI system, demonstrating a comprehensive grasp of our project's complex requirements. His well-documented blueprint strategically incorporates a $Multi-Vector RAG$ pipeline with $Hybrid Search$, $LangGraph$ for orchestrating complex, multi-step agentic workflows, and $LangSmith$ for essential observability.
This provides a clear and robust roadmap for development. We give our highest recommendation for his architectural expertise in moder AI tech stack and will proceed based on his design.
This provides a clear and robust roadmap for development. We give our highest recommendation for his architectural expertise in moder AI tech stack and will proceed based on his design.
SD
Socorro Pia D.
Apr 24, 2022
Product Manager (PM)
Awesome Product Manager!
SD
Socorro Pia D.
Mar 17, 2022
Agile Product Manager (stg-sb)
He is a pleasure to work with.
SD
Socorro Pia D.
Mar 17, 2022
Technical Product Manager (PB-NM)
Efficient and responsible Product Manager.
About Roman
Certified AI Engineer / Automation Engineer / Tech Product Lead
100%
Job Success
Tbilisi, Georgia - 8:53 am local time
My mission is to architect and build robust AI-powered products and advanced automation workflows that drive productivity, efficiency, and growth. I believe the most powerful AI is practical AI — solutions that integrate seamlessly into business operations to create scalable, long-term value. This philosophy guides every automation and AI project I lead.
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Key Expertise
🧠 AI Solution Development & ML Engineering
1. AI Agents & Applications: Architecting and building custom AI agents and tools using Python, LangChain, and LangGraph for tasks like autonomous research, data analysis, and workflow execution.
2. Generative AI & Custom LLM Solutions: Developing sophisticated applications powered by Generative AI. My work includes building custom LLM-driven chatbots, content creation engines, and summarization tools that leverage the full potential of LLM-models.
3. LLM Integration & Fine-Tuning: Expertly integrating and fine-tuning Large Language Models (LLM) to align with specific business contexts, improving accuracy and relevance for proprietary datasets and unique use cases.
4. MLOps & Data Science: Managing the end-to-end machine learning lifecycle. This includes leveraging Pandas, NumPy, etc. for deep data analysis, model training, and deploying scalable AI systems.
5. Natural Language Processing (NLP): Developing solutions that understand and process human language to power intelligent search, automate customer support, and extract critical insights from unstructured text. This is a cornerstone of my AI development work.
🤖 Intelligent Automation & RPA
6. End-to-End Business Automation: Designing and deploying comprehensive automation strategies that connect disparate systems (ERPs, CRMs, APIs) to streamline entire business verticals, from finance to operations.
7. Cognitive Automation: Going beyond simple RPA by implementing cognitive automation solutions. This involves using AI and NLP to enable bots to handle unstructured data, make complex decisions, and manage exceptions without human intervention.
8. No-Code & Low-Code Automation: Rapidly building and scaling workflows using platforms like Make and n8n, enabling swift and cost-effective business process automation.
📈 Technical Product Management & Strategy
9. AI & Automation Product Strategy: Defining the vision and roadmap for AI-native products. This involves identifying market opportunities for automation, validating use cases for new AI features, and ensuring a strong ROI.
10. Full Product Lifecycle Leadership: Guiding products from ideation, feasibility studies, and rapid prototyping (MVP) to achieving Product-Market Fit and navigating growth-stage scaling.
11. Agile Leadership & Delivery: Implementing and managing Agile (Scrum/SAFe) frameworks to optimize development velocity and ensure predictable delivery of complex AI and automation projects.
🌐 Web3, DeFi & Decentralized AI (DeAI)
12. Smart Contracts & dApps: Developing on blockchains like Ethereum, Polygon, and Sui using Solidity and Move.
13. Decentralized Systems: Deep expertise in Tokenomics, DAO Governance, Oracles, and the emerging field of Decentralized AI (DeAI), where AI models and data are managed on-chain.
Recent Achievements
💡 AI-Powered Productivity Boost
Engineered and deployed an autonomous AI agent that automated complex financial research. This solution, built on a custom-trained LLM, processed market data in real-time, resulting in a 10x increase in user productivity and a 30% uplift in key financial metrics.
📊 Data-Driven Operational Efficiency
Architected a data-driven automation ecosystem combining a real-time analytics dashboard with RPA monitoring. This system fully automated departmental reporting, freeing up 40% of personnel resources and slashing overhead by 99.9%. This advanced automation transformed their operational workflow.
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Core Tech Stack
- AI/ML: Python, LangChain, LangGraph, PydanticAI, Pandas, NumPy, LLMs (Gemini/GPT), MLOps
- Automation: Make, n8n, RPA, AppSheets
- Backend & Cloud: Flask, gRPC, Google Cloud, Supabase, SQL
- Frontend: React, Next.js, JavaScript
- Web3: Move/Sui, Solidity/Ethereum, Polygon, Filecoin
- Tools: Postman, Swagger, Looker, Dune, Git
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Let's Collaborate
am passionate about leveraging AI and automation to solve challenging problems and create competitive advantages. If you're looking to build a transformative AI solution, implement intelligent automation, or require strategic guidance for your tech product, let's connect.
📧 Send me a message with your project details to start the conversation.
Steps for completing your project
After purchasing the project, send requirements so Roman can start the project.
Delivery time starts when Roman receives requirements from you.
Roman works on your project following the steps below.
Revisions may occur after the delivery date.
Strategy & Feasibility
We collaborate with executives to identify and prioritize AI use cases, assess data readiness, and create the detailed AI Strategy Roadmap and ROI projection.
Data Engineering & Prep
We clean, transform, and integrate raw data from various sources to build a robust, compliant data foundation ready for training high-quality machine learning models.