You will get 70-90% Reduction in LLM Hallucinations
Top Rated
Top Rated
Project details
I will deliver critical enhancements for your AI chatbot, focusing on developing a highly accurate and stable AI solution. I'll achieve this through my deep expertise in LLM fine-tuning and robust prompt engineering, ensuring a significant reduction in model hallucinations.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, Conversational AI, Image Analysis, Image Recognition, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Synthetic Data GenerationAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, PyTorch, Replit, Streamlit, TensorFlowAI Models
AlphaCode, BERT, BLOOM, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$5,000
|
Standard
$12,000
|
Advanced
$23,000
|
|---|---|---|---|
| Delivery Time | 8 days | 21 days | 45 days |
Number of Revisions | 2 | 4 | 16 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | |||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | - | - | |
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
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JP
Joshua P.
Feb 6, 2026
Reinforcement Learning Expert for Multi-Agent Novel Structure Development
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Merlin F.
Dec 12, 2025
Technical Consultation
Very good consultation. Definitely helped me with a specific problem I had. Thank you!
AH
Almas H.
Aug 19, 2025
Seeking Full-stack Developers with Python, Databases (SQL), and cloud experience - DSQL-2025-q3
MS
Manuela S.
Mar 31, 2025
Seeking Data Scientists with ETL, ML, Python experience / gsmlsmus-2025-q1
Salih did a great job on ETL and ML tasks. We’d be happy to work with this freelancer again.
JH
Jane H.
Mar 13, 2025
Engineer with Deep-RL Experience to Assist with System Design & Documentation
About Salih Hasan
ML Engineer | LLM, RAG, Multi-Agent Systems | Production AI Systems
100%
Job Success
Berlin, Germany - 8:33 am local time
Most clients come to me after hitting the same issues:
RAG not accurate, agents unreliable, or AI pipelines that don’t scale.
That’s where I step in.
I’m a Senior ML and LLM Engineer (10+ years), recently working at NexGen Cloud and Holi GmbH, where I built:
☑️Enterprise AI platforms serving 100+ clients with 99.9% uptime
☑️RAG systems (multimodal, hybrid search, real-time pipelines)
☑️AI agents connected to APIs, tools, and business workflows
☑️High-performance inference systems (sub-200ms latency, cost reduced ~40%)
What I can help you with:
☑️RAG Systems (LLM + Data)
PDFs, databases, internal tools → accurate retrieval (LangChain, LangGraph, pgvector, Pinecone)
☑️AI Agents & Automation
Multi-step workflows, tool calling, OpenClaw-style systems
☑️LLM Systems (Production Ready)
OpenAI, Claude, Gemini, structured outputs, evaluation, guardrails
☑️Backend + APIs
FastAPI, Django, Node, async pipelines, Redis, scalable systems
☑️Search & Recommendations
Hybrid search (BM25 + vector), ranking, personalization
I’ve built systems handling 1000+ ML jobs/month and real traffic
I focus on accuracy + reliability, not just “AI output”
I design systems your team can actually maintain
𝐐𝐮𝐢𝐜𝐤 𝐰𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝
Improved search latency and relevance by 40%
Increased recommendation quality by 35%
Reduced AI infrastructure cost by up to 70%
If you’re building something serious with AI and want it done properly, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤.
Steps for completing your project
After purchasing the project, send requirements so Salih Hasan can start the project.
Delivery time starts when Salih Hasan receives requirements from you.
Salih Hasan works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Data & System Audit
I'll thoroughly reviewing your current LLM setup, the input data it receives, how it's integrated into your system, and the existing output examples you've identified as hallucinations.
Baseline Measurement
Using your provided data and potentially generating new test sets, we'll establish a clear, measurable baseline of your current hallucination rate. This gives us a starting point to track our progress.