You will get LLM Cost Optimization | Reduce API Costs up to 60% with No Performance Drop
Rising Talent
Project details
Most teams overpay for LLM APIs by 60–75% without knowing it — wrong model
for the task, bloated prompts, zero caching, no routing logic. I've built and
optimized 10+ production AI systems and I know exactly where the money leaks.
Here's what I do:
→ Model Quantization (INT8/FP16) via ONNX Runtime — same accuracy, 2–4x
cheaper inference
→ Prompt Compression — shrink token count by 40–60% without losing response
quality
→ Smart Model Routing — cheap model for simple queries, powerful model only
when needed
→ Semantic Response Caching — FAISS/Redis cache eliminates redundant API calls
→ RAG Pipeline Optimization — smaller context windows, fewer tokens, same
retrieval quality
→ Batch Processing — group requests to cut per-token cost dramatically
What you get:
✔ Full cost audit of your current AI pipeline
✔ Implemented optimizations — not just a report
✔ Before/after benchmark (cost, speed, accuracy)
✔ Clean, documented, production-ready code
Works with OpenAI, Anthropic, Groq, Mistral, Ollama, and any custom LLM stack.
No fluff. Just measurable results.
for the task, bloated prompts, zero caching, no routing logic. I've built and
optimized 10+ production AI systems and I know exactly where the money leaks.
Here's what I do:
→ Model Quantization (INT8/FP16) via ONNX Runtime — same accuracy, 2–4x
cheaper inference
→ Prompt Compression — shrink token count by 40–60% without losing response
quality
→ Smart Model Routing — cheap model for simple queries, powerful model only
when needed
→ Semantic Response Caching — FAISS/Redis cache eliminates redundant API calls
→ RAG Pipeline Optimization — smaller context windows, fewer tokens, same
retrieval quality
→ Batch Processing — group requests to cut per-token cost dramatically
What you get:
✔ Full cost audit of your current AI pipeline
✔ Implemented optimizations — not just a report
✔ Before/after benchmark (cost, speed, accuracy)
✔ Clean, documented, production-ready code
Works with OpenAI, Anthropic, Groq, Mistral, Ollama, and any custom LLM stack.
No fluff. Just measurable results.
AI Algorithms
AdaBoost, AlexNet, Deep Belief Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Radial Basis Function Network, Restricted Boltzmann Machine, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, AIOps, Automatic Speech Recognition, Conversational AI, Image UpscalingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, BLOOM, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$110
|
Standard
$150
|
Advanced
$190
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 3 days |
Number of Revisions | 3 | 3 | 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 |
Frequently asked questions
About Ali
AI Engineer | LLM Agents | Computer Vision | RAG Systems | Agentic AI
Lahore, Pakistan - 1:27 pm local time
I build AI that ships.
Whether you need an autonomous agent that books calls 24/7, a RAG pipeline answering questions over your company docs, or a computer vision system processing 1000+ frames/second I've built it, deployed it, and kept it running.
━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ━━━
𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐒𝐲𝐬𝐭𝐞𝐦𝐬
🔹GPT-4 / Claude pipelines with LangChain & LangGraph
🔹Voice agents with VAPI, Retell, ElevenLabs & NBN
🔹RAG systems with ChromaDB, Pinecone, FAISS
🔹Multi-agent orchestration & autonomous tool-calling
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧
🔹Real-time detection with YOLO, OpenCV, TensorFlow
🔹Activity recognition & anomaly detection
🔹Custom CNN architectures & model training
🔹Video analytics & monitoring at scale
𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐋𝐎𝐩𝐬
🔹End-to-end pipelines with MLflow, DVC, Docker
🔹CI/CD for ML systems on AWS / Azure
🔹Multi-platform API integrations
🔹CRM, database & notification workflows
━━━ 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 ━━━
✔ 40–60% reduction in manual task time through intelligent automation
✔ Computer vision systems processing 1000+ frames/second in production
✔ ML pipelines with 99.9% uptime on AWS/Azure
✔ Led end-to-end AI strategy as CTO at CraftyAutomation
━━━ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ━━━
Most AI freelancers hand you a Jupyter notebook and call it done.
I hand you a deployed system with clean code, documentation, and a roadmap. Before writing a single line of code, I send you a clear implementation plan so you always know what's being built, why, and when it ships.
⚡ Response time: under 1 hour
📋 Every project starts with a written implementation roadmap
🔁 Weekly progress updates at every milestone
🤝 Long-term reliability not a one-and-done contractor
━━━ 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫 ━━━
🤖 𝐀𝐈 𝐀𝐆𝐄𝐍𝐓𝐒 & 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍
🔹 Lead Qualification Agent (GPT-4 · FSM · GoHighLevel booking)
🔹 Agentic Stock Analysis (Multi-Agent · Groq · YFinance)
🔹 AI Workflow Automation (n8n · WhatsApp · Slack · CRM)
🔹 AI Voice Agent (VAPI / Retell / ElevenLabs)
👁️ 𝗖𝗢𝗠𝗣𝗨𝗧𝗘𝗥 𝗩𝗜𝗦𝗜𝗢𝗡 & 𝗜𝗼𝗧
🔹 AI Security Camera System (YOLOv11 · Face ID · Weapon Detection)
🔹 Smart Door Access System (Face + NFC Card · Arduino · FastAPI)
🔹 Virtual Clothes Try-On App (IDM-VTON · MediaPipe · ONNX)
🔹 Android Malware Detection (ML · GRU · BERT · Few-Shot)
🧠 𝐌𝐀𝐂𝐇𝐈𝐍𝐄 𝐋𝐄𝐀𝐑𝐍𝐈𝐍𝐆 & 𝐗𝐀I
🔹 Explainable AI (XAI) Systems (SHAP · LIME · Grad-CAM)
🔹 Healthcare AI & Risk Prediction (Sepsis · Well-Being)
🔹 Ensemble ML/DL Pipelines (XGBoost · LightGBM · PyTorch)
🔹 NLP & Transformer Models (HuggingFace · BERT · Emotion AI)
🔹 Custom Model Training & Fine-Tuning
🌐 𝐅𝐔𝐋𝐋-𝐒𝐓𝐀𝐂𝐊 & 𝐒𝐀𝐀𝐒 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐒
🔹 SaaS-Ready AI Web Apps (React · FastAPI · SQLite · Auth)
🔹 Backend API Development (FastAPI · Node.js · REST · WebSocket)
🔹 Frontend Development (React · TypeScript · Tailwind · Framer Motion)
🔹 MLOps Pipeline Setup (MLflow · Docker · AWS)
🤝 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞
If you need an application that’s built to scale, infused with intelligence, and secured for the future, I’m the partner you need. Click “Invite to Job” or shoot me a messag
𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: AI Engineer, LLM Developer, AI Agent, LangChain Developer, RAG Pipeline, Computer Vision Engineer, MLOps Engineer, Python Developer, Generative AI, OpenCV, TensorFlow, PyTorch, GPT-4 Integration, Voice AI, VAPI, ElevenLabs, Workflow Automation, AWS Machine Learning, AI Chatbot, Autonomous Agent
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Pipeline Audit & Cost Analysis
I review your current LLM stack, API usage logs, prompt structure, and token consumption. I identify exactly where money is leaking and estimate the savings potential.
Optimization Implementation
I apply the selected optimizations quantization, prompt compression, caching, model routing, or RAG tuning directly into your codebase. Clean, documented, production-ready code.