You will get a custom Computer Vision, NLP, or AI model built and deployed
Rising Talent
Project details
👁️🧠 Need a vision system that sees, or an LLM that thinks? I build both — in production, at scale.
I'm Ahmed, a Senior AI Engineer with 4+ years delivering intelligent systems across the full AI stack, spanning Computer Vision and Generative AI & LLMs.
👁️ Computer Vision
Detection (YOLOv8, Faster R-CNN) · Classification (CNN, ViT) · Segmentation (SAM, Mask R-CNN) · Face Recognition · Medical Imaging · Generative Vision (Stable Diffusion, ComfyUI, ControlNet) · Anomaly Detection
🧠 Generative AI & LLMs
RAG Pipelines (LangChain, LlamaIndex, Pinecone) · AI Agents (LangGraph, CrewAI) · Fine-Tuning (LoRA, RLHF) · LLM Apps · OpenAI · LLaMA · Mistral
🚀 Deployment
FastAPI · AWS · Docker · Kubernetes · Streamlit · Real-time inference
🏆 Results
RAG chatbot — 500+ daily users, 92% accuracy
Latency reduced by 60% via LangGraph multi-agent framework
15% diagnostic accuracy gain across 100K+ medical images
99.5% uptime on production AI services
💡 One engineer. Full AI stack. Production-first.
✔ 100% Job Success · ✔ 0–1hr response · ✔ Clean, scalable code
📩 Have an AI project? Message me — I respond fast.
I'm Ahmed, a Senior AI Engineer with 4+ years delivering intelligent systems across the full AI stack, spanning Computer Vision and Generative AI & LLMs.
👁️ Computer Vision
Detection (YOLOv8, Faster R-CNN) · Classification (CNN, ViT) · Segmentation (SAM, Mask R-CNN) · Face Recognition · Medical Imaging · Generative Vision (Stable Diffusion, ComfyUI, ControlNet) · Anomaly Detection
🧠 Generative AI & LLMs
RAG Pipelines (LangChain, LlamaIndex, Pinecone) · AI Agents (LangGraph, CrewAI) · Fine-Tuning (LoRA, RLHF) · LLM Apps · OpenAI · LLaMA · Mistral
🚀 Deployment
FastAPI · AWS · Docker · Kubernetes · Streamlit · Real-time inference
🏆 Results
RAG chatbot — 500+ daily users, 92% accuracy
Latency reduced by 60% via LangGraph multi-agent framework
15% diagnostic accuracy gain across 100K+ medical images
99.5% uptime on production AI services
💡 One engineer. Full AI stack. Production-first.
✔ 100% Job Success · ✔ 0–1hr response · ✔ Clean, scalable code
📩 Have an AI project? Message me — I respond fast.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, CycleGAN, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer Model, Variational Autoencoder, YOLOAI Applications
AI Chatbot, AI-Enhanced Classification, AI-Enhanced Medical Imaging, Anomaly Detection, Conversational AI, Image Analysis, Image Processing, Image Recognition, Image Upscaling, Natural Language Generation, Object Detection, Object LocalizationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable DiffusionWhat's included
| Service Tiers |
Starter
$80
|
Standard
$200
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$15
Model Deployment (if not in tier)
(+ 1 Day)
+$50
5 reviews
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HF
Henry F.
Feb 25, 2024
RAG chatbot creation paircoding / tutor
Ahmed was helpful, collaborative, and dedicated. Sometimes he got a little lost in the weeds, and I chalk that up to the depth of care in solving the problem at hand.
Would absolutely work with him again.
Would absolutely work with him again.
LC
Laura C.
Oct 16, 2023
Seeking Web App Developers with Python, Flask, Relational-Databases, and AWS exp [aico-2023-1]
Ahmed did a great job on performing various web app development-related coding tasks on Amazon Web Services. We'd be happy to work with this freelancer again.
NP
Natalie P.
Sep 14, 2023
python and python Dash
I highly recommend Ahmed for any coding project.Ahmed demonstrated exceptional knowledge and consistently went above and beyond to ensure the project's success, all while offering incredibly affordable rates. His proactive approach, innovative solutions, and commitment to excellence made a significant impact on the overall quality of my project . I am extremely satisfied with the results and believe Ahmed represents incredible value for money.
NW
Natalie W.
Apr 25, 2023
Seeking experienced data scientists to complete a short survey
NP
Natalie P.
Mar 15, 2023
Assistance with python project task using Python dash
Ahmed was great, extremely helpful, and patient. He is well-versed in python pandas and understands modeling. He went over and beyond what I needed.
About Ahmed
AI Engineer | RAG & LLM Systems | Multi-Agent AI, MLOps
Islamabad, Pakistan - 7:40 am local time
I'm an ML engineer with 5+ years building and deploying AI systems for global clients, specialized in generative AI, retrieval-augmented generation, and production-scale ML pipelines. I've shipped end-to-end platforms across LLM agents, computer vision, and MLOps from data pipeline to deployed, observable, low-latency service.
What I do best:
• RAG & LLM systems — retrieval pipelines, vector search (Pinecone, pgvector), multi-agent orchestration with LangGraph, WhatsApp/CRM integrations
• MLOps & deployment — Docker, Kubernetes (EKS), AWS (Lambda, S3, SageMaker, EC2), CI/CD, 99.5% uptime services
• Inference optimization — quantization (INT8/FP16), TensorRT, ONNX, batching; cut LLM latency 60% and boosted inference speed 30% on real projects
• Computer vision — action recognition, medical image segmentation, image generation, edge deployment
Recent results:
• Production RAG assistant — 500+ daily users, 92% accuracy, 60% lower latency
• Medical imaging — +15% diagnostic accuracy across 100K+ images; 94% segmentation accuracy on hemorrhage detection
• Edge AI — real-time shoplifting detection running on-device with no cloud dependency
Stack: Python, PyTorch, TensorFlow, LangChain, LangGraph, Hugging Face, LLMs, RAG, Stable Diffusion, AWS, Kubernetes, Docker, Pinecone, PostgreSQL, TensorRT, ONNX.
If your AI project needs to work in production reliably, fast, and observable let's talk.
Send a note about what you're building and I'll tell you exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
receive the required model dataset from the client
Step 2
create the first test model with the given dataset