You will get Specialized LLM optimization and smart prompt engineering.
Project details
If your AI is giving generic, wordy, or slightly-off responses, it hasn't been properly tailored to your business yet. I bridge that gap by refining how your AI thinks and speaks. Whether you are looking to fix a chatbot or build a custom-trained brain for your company, I provide the technical expertise to make it happen without the corporate headache.
What I Bring to the Table:
1- Precision Prompt Engineering: I move past basic instructions to create complex, reliable prompt templates that ensure your AI stays on track and provides accurate responses.
2- Specialized Fine-Tuning: I handle the deep work of model selection and data formatting to train a custom version of an LLM using your unique data.
3- Full-Stack AI Implementation: I don’t just build the model; I can handle the end-to-end process, including performance evaluation and seamless integration into your current tech stack.
What I Bring to the Table:
1- Precision Prompt Engineering: I move past basic instructions to create complex, reliable prompt templates that ensure your AI stays on track and provides accurate responses.
2- Specialized Fine-Tuning: I handle the deep work of model selection and data formatting to train a custom version of an LLM using your unique data.
3- Full-Stack AI Implementation: I don’t just build the model; I can handle the end-to-end process, including performance evaluation and seamless integration into your current tech stack.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, AIOps, Conversational AI, Image Analysis, Natural Language Generation, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 days |
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 |
About Syed
AI Engineer | AI Agents, Multimodal LLMs, RAG, Langchain, n8n
Lahore, Pakistan - 4:51 pm local time
Core Competencies:
🚀 LLM Application Development
Building RAG pipelines (Semantic search, Hybrid search) using LangChain.
Fine-tuning models (LoRA/PEFT) for specific domains using Llama and Mistral.
Developing AI Agents capable of reasoning and tool usage.
⚙️ Automation & Backend Engineering
Automation: Complex workflow orchestration using n8n and Zapier.
Backend: High-performance REST APIs using FastAPI and Flask.
Data: SQL (PostgreSQL) and Vector Stores (Pinecone, ChromaDB).
đź› Tech Stack at a Glance
Languages: Python (Expert), SQL.
AI/ML: PyTorch, TensorFlow, Scikit-learn, SpaCy.
Generative AI: OpenAI, Gemini, Claude, DALL·E, Stable Diffusion.
Deployment: Docker, AWS, GCP, Azure, Runpod.
🌟Featured Projects:
Multimodal Research Assistant: An LLM-powered system capable of retrieving documents and answering questions via a custom Streamlit frontend.
Resume Screening Engine: An NLP/OCR pipeline that extracts candidate data and matches it to job descriptions with high accuracy.
đź“ŚI write clean, documented code and adhere to MLOps best practices. If you need a reliable engineer to execute your AI roadmap, invite me to your job and let's discuss the technical details.
Steps for completing your project
After purchasing the project, send requirements so Syed can start the project.
Delivery time starts when Syed receives requirements from you.
Syed works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Cleaning
I'll audit your requirements and clean any provided data. For fine-tuning, I'll format datasets properly. For prompts, I’ll analyze current failures to make sure the new logic is bulletproof.
Technical Build & Training
The heavy lifting. I’ll develop your custom prompt architectures or run the model training. I focus on building a robust AI "brain" that follows your specific business rules without hallucinations.