You will get AI Feature Integration Built Into Your SaaS Product in 14 Days
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Top Rated
Project details
You have a product. You want to add an AI feature : smart search, auto-summarization, AI-generated content, document Q&A, smart suggestions, content moderation. But you don't have the time or in-house senior to figure out which model, which architecture, what the failure modes are, and how to integrate it cleanly with your backend.
That's exactly what I do in my day job as an AI/ML engineer. This package is that work, productized.
You get a written design doc by day 2, working code by day 10, and a clean handoff by day 14. Backend implementation (Python + FastAPI), proper prompt engineering, evaluation harness, structured outputs, Dockerized deployment, REST API endpoints your existing app can call.
No vibes. No "let's see how it goes." Clear scope, fixed price, senior-engineered delivery.
Best for SaaS founders and CTOs who've decided they want AI in their product and need someone senior to ship it cleanly the first time, without learning the entire LLM ecosystem themselves.
30 days of post-launch support included.
That's exactly what I do in my day job as an AI/ML engineer. This package is that work, productized.
You get a written design doc by day 2, working code by day 10, and a clean handoff by day 14. Backend implementation (Python + FastAPI), proper prompt engineering, evaluation harness, structured outputs, Dockerized deployment, REST API endpoints your existing app can call.
No vibes. No "let's see how it goes." Clear scope, fixed price, senior-engineered delivery.
Best for SaaS founders and CTOs who've decided they want AI in their product and need someone senior to ship it cleanly the first time, without learning the entire LLM ecosystem themselves.
30 days of post-launch support included.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Keras, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,400
|
Standard
$2,800
|
Advanced
$5,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Frequently asked questions
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OS
Ori S.
May 25, 2025
Data development Platform System Testing
ST
Studyandwork T.
Feb 18, 2025
R Programmer Needed for Finance Research Project
Outstanding work! Excellent quality and timely delivery!
IS
Inna S.
Jul 23, 2024
Project coordinators needed for a short term project
I had the pleasure of working with Panayiotis Savva, and I can’t recommend him highly enough! Panayiotis is a top-notch data analyst/scientist with an impressive skill set in SQL, R, and machine learning. His expertise and professionalism truly set him apart.
From the outset, Panayiotis demonstrated a deep understanding of complex data challenges and delivered insightful, actionable solutions. His communication was clear and timely, and he consistently exceeded expectations with his analytical acumen. The quality of his work was exceptional, and his innovative approach to problem-solving made a significant positive impact on our project.
If you’re seeking a skilled data professional who combines technical excellence with a collaborative mindset, Panayiotis is the ideal choice. I look forward to working with him again in the future!
From the outset, Panayiotis demonstrated a deep understanding of complex data challenges and delivered insightful, actionable solutions. His communication was clear and timely, and he consistently exceeded expectations with his analytical acumen. The quality of his work was exceptional, and his innovative approach to problem-solving made a significant positive impact on our project.
If you’re seeking a skilled data professional who combines technical excellence with a collaborative mindset, Panayiotis is the ideal choice. I look forward to working with him again in the future!
RP
R P.
May 13, 2024
Machine Learning in R, Data processing part
Panayiotis has provide fantastic work and finished within the time agreement. He made sure I understood the codes correctly and pointed out the direction I should go through. I learned a lot from him through his help. He's not only a great coder but also a great teacher!
EG
Elena G.
Mar 21, 2024
Data Analytics
Amazing job! Very Professional and reliable! He’s very experienced in Data Analytics! 🙌🏻
About Panayiotis
AI/ML Engineer | AI Integration, LLM & Automation | Python, FastAPI
100%
Job Success
Nicosia, Cyprus - 9:03 pm local time
Focus on ML systems, LLM integration, RAG, and Python automation used in SaaS products, operations teams, and enterprise environments.
End-to-end delivery: Data pipelines → Modeling → Deployment → Documentation.
▶ What I Build
- AI Integration & LLM Apps
OpenAI, Anthropic, and open-source models wired into your existing product. Chatbots with memory, tool-calling agents, structured outputs, and evaluation harnesses that keep them reliable in production.
- RAG Systems
Semantic search and Q&A over your documents, knowledge bases, or internal data. Vector databases (Pinecone, pgvector, Chroma), embeddings, hybrid retrieval, source citations.
- AI Automation & Workflow Pipelines
Python + FastAPI, REST APIs. Replace repetitive manual work: reporting, lead routing, document processing, data sync between tools.
- ML Models in Production
Forecasting, churn, classification, segmentation. Built to be called from your app via API, not to sit in a Jupyter notebook.
- Backend & API Integration
FastAPI, REST, webhooks, third-party integrations. Dockerized deployments. The essential glue that makes the AI part actually work.
▶ Recent Work
- Invoice & Quote Classification Pipeline
Automated 94% of manual reporting for a large enterprise marketing company using Python + ML. Hours of manual work compressed into minutes.
- Customer Churn Model
Predictive model achieving 85%+ accuracy for a SaaS team, deployed as a REST API for real-time scoring.
- RAG Knowledge Assistant
Full retrieval system built for a leading European Regtech/Fintech SME, enabling instant Q&A across internal documentation.
▶ How I Work
· Short discovery call
· Scoped plan with milestones
· Working prototype fast, then iterate
· Production handoff with full documentation
You'll always know what's shipping next.
▶ Tech Stack
· Python (FastAPI, Pandas, NumPy, Scikit-learn, PyTorch)
· LLM tooling (OpenAI API, Anthropic Claude, LangChain when it fits, vector DBs)
· SQL (PostgreSQL, MySQL, SSMS)
· Docker, REST APIs, ETL, Automation
Mathematical foundations: Andrew Ng ML Specialization, Mathematics for Data Science certification.
▶ Track Record
· Top Rated, 100% Job Success, 550+ hours delivered, $10K+ earned on Upwork
· 4+ years as a practicing AI/ML engineer outside Upwork. You're hiring a working engineer.
▶ Best Fit For
· SaaS founders adding AI to their product
· Ops teams drowning in manual work
· Companies with documents they want to actually search
· Startups needing an AI feature shipped in weeks, not quarters
· Teams looking for a long-term AI/ML partner on retainer
Message me with the problem you're trying to solve. I'll tell you honestly whether AI is the right answer and what it'll take to ship it.
Steps for completing your project
After purchasing the project, send requirements so Panayiotis can start the project.
Delivery time starts when Panayiotis receives requirements from you.
Panayiotis works on your project following the steps below.
Revisions may occur after the delivery date.
Technical kickoff and design
Kickoff call to align on the feature, success criteria, and constraints. Within 48 hours you get a written design document ,model choice, architecture, trade-offs, cost projection, and scope.
Backend and LLM implementation
Build the Python/FastAPI backend with LLM integration, prompt engineering, structured outputs, and function calling. RAG layer added if your feature needs retrieval.