You will get a custom multi-agent AI research and writing pipeline.
Project details
Stop paying for basic chatbots that hallucinate. If you need highly accurate, domain-specific AI that researches, writes, and reasons like a professional, you need a Multi-Agent System.
I am an AI Systems Architect specializing in LangGraph, Python, and advanced RAG. I will build you a custom autonomous AI pipeline modeled after my proven 7-agent architecture. Instead of relying on a single AI prompt, this system uses specialized agents (Researcher, Writer, Fact-Checker) to execute complex workflows with zero hallucinations.
PERFECT FOR:
✔ Legal AI & Case RAG: Upload case files. The AI will securely search your documents and draft accurate legal memos with verified citations.
✔ Technical Documentation: Automatically generate highly detailed, formatted tech docs from unstructured data.
✔ Academic & Research Writing: Agents that autonomously search literature, verify facts, and write comprehensive reports.
✔ Automated Replying: Intelligent agents that read inquiries, query your internal database, and draft perfect, context-aware replies.
I build secure, self-healing, production-ready AI with human-in-the-loop controls. Let's build something intelligent.
I am an AI Systems Architect specializing in LangGraph, Python, and advanced RAG. I will build you a custom autonomous AI pipeline modeled after my proven 7-agent architecture. Instead of relying on a single AI prompt, this system uses specialized agents (Researcher, Writer, Fact-Checker) to execute complex workflows with zero hallucinations.
PERFECT FOR:
✔ Legal AI & Case RAG: Upload case files. The AI will securely search your documents and draft accurate legal memos with verified citations.
✔ Technical Documentation: Automatically generate highly detailed, formatted tech docs from unstructured data.
✔ Academic & Research Writing: Agents that autonomously search literature, verify facts, and write comprehensive reports.
✔ Automated Replying: Intelligent agents that read inquiries, query your internal database, and draft perfect, context-aware replies.
I build secure, self-healing, production-ready AI with human-in-the-loop controls. Let's build something intelligent.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$350
|
Standard
$950
|
Advanced
$2,450
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 21 days |
Number of Revisions | 2 | 4 | 6 |
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.
Fast Delivery
+$100 - $500
Additional Revision
+$150
Streamlit Web Interface
(+ 3 Days)
+$250
Add 1 Extra Specialized Agent
(+ 2 Days)
+$150Frequently asked questions
About Malik
AI Systems Architect | Multi-Agent LLMs | RAG | Unity AI | Automation
Islamabad, Pakistan - 5:56 pm local time
With 5+ years of professional engineering experience across AI systems, defense R&D, and software products with 500,000+ end-user downloads, I deliver architected solutions — not experiments.
I am one of the few engineers who combines deep LLM/multi-agent orchestration expertise with real Unity simulation and game integration experience. This means I can take on AI projects that require both intelligent decision-making and high-performance real-time environments.
━━━ WHAT I BUILD ━━━
→ Multi-Agent AI Systems (LangGraph, CrewAI) — autonomous pipelines with tool-use, memory, reflection loops, and human-in-the-loop controls
→ Model Training & Fine-Tuning — custom domain adaptation for LLMs and vision models using parameter-efficient fine-tuning (PEFT, LoRA).
→ RAG Pipelines — Hybrid Search (BM25 + vector), Reciprocal Rank Fusion, ChromaDB, FAISS, Pinecone
→ LLM Integration — Claude API, GPT-4o, DeepSeek V3, Groq/Llama 3, prompt engineering, structured outputs
→ AI for Unity — ML-Agents (PPO/SAC), intelligent NPCs, computer vision pipelines (Unity Sentis/ONNX), RL-based agents
→ Production Backends — FastAPI Python servers, async APIs, Celery + Redis task queues, and containerized deployments (Docker).
━━━ PROVEN SYSTEMS ━━━
▶ Foreman (AI Software Factory) — Production-grade multi-agent orchestration system. Brain + Worker architecture, 5-level self-healing, loop detection, HybridRetriever, secure file locking, multi-provider LLM support (DeepSeek, GPT-4o, Claude).
▶ Scrivio (Academic AI Agent) — 7-agent LangGraph pipeline that autonomously writes full academic research papers with verified DOIs and zero hallucinated citations. Stack: FastAPI · Groq · DeepSeek · Celery · Redis · ArXiv · PubMed · Semantic Scholar APIs. 89 backend + 9 E2E tests all passing.
▶ AWC Vision Systems — AI/ML computer vision pipelines integrated directly into Unity runtime for real-time object detection and tracking, built for one of Pakistan's most sensitive defense R&D organizations.
▶ Faris Drone Simulation (POF) — High-fidelity drone flight simulation in Unity for Pakistan Ordnance Factories, modeling real-world aerial dynamics, physics, and flight-path algorithms for defense evaluation.
▶ BioScout — Hybrid RAG agent (BM25 + ChromaDB + DeepSeek Vision) for hallucination-free domain identification and Q&A, built under hackathon conditions.
▶ Bias Detection System (XAI) — Explainable AI pipeline using SHAP analysis to detect
sentiment, gender, and toxicity bias in LLM outputs. Auditable feature-level attribution
for enterprise LLM safety and compliance.
▶ RL Robotic Arm — Reinforcement learning agent (PPO) trained in Unity ML-Agents to
perform stable pick-and-place tasks in randomized environments. Integrated with ROS2
and a Niryo OS2 digital twin.
▶ PINN Research — Physics-Informed Neural Networks applied to the Heimburg nerve
impulse soliton model. Embeds governing physical equations into neural network training
for data-efficient scientific simulation. Paper in submission.
━━━ TECH STACK ━━━
LLMs & Agents: LangGraph · CrewAI · LangChain · Claude API · GPT-4o · DeepSeek · Groq · Llama 3
Training & Fine-Tuning: PyTorch · Hugging Face · LoRA / QLoRA · PEFT · Custom Model Training
RAG & Search: ChromaDB · FAISS · Pinecone · rank_bm25 · Hybrid Search · RRF
Backend & DevOps: FastAPI · Python · Celery · Redis · Docker · AWS/Cloud Deployment · REST APIs
Unity & Simulation: Unity 3D/C# · ML-Agents · Unity Sentis (ONNX) · Reinforcement Learning · ShaderGraph
Other: ROS2 · Digital Twin · SHAP/XAI · PINNs · Computer Vision
━━━ I SPECIALIZE IN ━━━
✔ Agentic business automation — multi-agent workflows that operate 24/7
✔ Domain-specific model adaptation — fine-tuning and deploying custom models for niche industries.
✔ Academic, legal & scientific AI — domain RAG pipelines, PINNs, research agents
✔ Explainable AI (XAI) — SHAP-based bias detection, safe and auditable LLM outputs
✔ AI + Unity integration — intelligent NPCs, ML-Agents, vision pipelines in game/sim environments
All my projects are real, documented, and live on GitHub. I welcome technical interviews and architecture discussions before engagement.
Open to hourly and fixed-price contracts. Let's build something intelligent.
Steps for completing your project
After purchasing the project, send requirements so Malik can start the project.
Delivery time starts when Malik receives requirements from you.
Malik works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Strategy Review
I will analyze your workflow requirements and design the optimal multi-agent LangGraph architecture, selecting the best LLMs for your specific use case.
Agent Development & Logic Routing
I will build the core Python backend, engineer the system prompts, and configure the autonomous agents with the necessary tools and APIs.