You will get Custom Generative AI Agentic Solutions
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Project details
Veonex Labs specializes in developing agentic generative AI-based full-stack applications that empower businesses with intelligent solutions.
What We Offer
Agent-Based AI Systems
• Autonomous agents capable of performing tasks.
• Orchestration of multiple agents for complex workflows.
• Seamless integration with APIs to enable decision-making.
Specialized AI Fine-Tuning
• Custom fine-tuning of both open-source and enterprise-level LLMs.
• Implementation of techniques such as PEFT, LoRA, and QLoRA.
• Tailored data preparation.
Custom Generative AI Solutions
• Development of AI-powered chatbots with personalized conversational capabilities.
• Multimodal AI systems that integrate text, image, and video generation for versatile applications.
Custom RAG Implementation
• Development of tailored RAG-based chatbot applications integrated with autonomous agents.
• Optimization and enhancement of existing RAG.
This is just a glimpse of the extensive services we provide. In addition to backend capabilities, we excel in frontend development to deliver a polished, user-friendly final product.
Let’s connect to discuss your vision and bring it to life!
What We Offer
Agent-Based AI Systems
• Autonomous agents capable of performing tasks.
• Orchestration of multiple agents for complex workflows.
• Seamless integration with APIs to enable decision-making.
Specialized AI Fine-Tuning
• Custom fine-tuning of both open-source and enterprise-level LLMs.
• Implementation of techniques such as PEFT, LoRA, and QLoRA.
• Tailored data preparation.
Custom Generative AI Solutions
• Development of AI-powered chatbots with personalized conversational capabilities.
• Multimodal AI systems that integrate text, image, and video generation for versatile applications.
Custom RAG Implementation
• Development of tailored RAG-based chatbot applications integrated with autonomous agents.
• Optimization and enhancement of existing RAG.
This is just a glimpse of the extensive services we provide. In addition to backend capabilities, we excel in frontend development to deliver a polished, user-friendly final product.
Let’s connect to discuss your vision and bring it to life!
AI Algorithms
Convolutional Neural Network, CycleGAN, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Transformer Model, Variational Autoencoder, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AIOps, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, Dolly, GPT-3, GPT-4, GPT-Neo, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$990
|
Standard
$1,375
|
Advanced
$1,975
|
|---|---|---|---|
| Delivery Time | 10 days | 15 days | 20 days |
Number of Revisions | 5 | 7 | 9 |
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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Farhan is super talented and well-versed in his field. Highly recommended!
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Farhan is gifted and resourceful; he worked his magic to make this project work as expected. I highly recommend Farhan!
About Farhan
AI Solutions Architect | Agentic AI | Full Stack | Cloud | MLOPs
100%
Job Success
Karachi, Pakistan - 10:51 am local time
Over the past seven years, I've worked with global organizations delivering impactful solutions across multiple domains. For the past three years, I've specialized in architecting and deploying production-grade AI systems—from healthcare platforms processing thousands of patient interactions to multi-tenant SaaS trading systems managing millions in transactions.
What Makes Me Different:
• AI-first, not API-first
I don't just integrate APIs—I build intelligent systems from first principles. Not every problem requires a large language model; in many cases, classical machine learning delivers better latency, lower cost, and higher accuracy. When LLMs are needed, I choose the most effective approach per use case—using managed APIs where speed and scale matter, and fine-tuning open-source models such as Qwen, Gemma, and LLaMA with LoRA and QLoRA via Hugging Face and Unsloth when customization, control, or data privacy is critical.
• End-to-end ownership, from MVP to production
I design and deliver AI solutions end-to-end, including multi-agent orchestration with seamless handoffs, scalable microservices deployed via Terraform across AWS, Azure, and GCP, and selecting the right AI approach for each system component. I independently take products from prototype to fully scalable production—owning AI models, backend services, frontend interfaces, cloud infrastructure, and DevOps—to ensure cohesive, reliable systems that work seamlessly together.
Recent Production Systems I've Built:
• Multi-Agent Healthcare Orchestration: Deployed a HIPAA-compliant urgent-care system with 7+ specialized agents managing patient registration through discharge. Integrated with Cerner/Oracle EMR, handling diagnostic scanning, HPI questionnaires, documentation generation, and real-time compliance monitoring. Stack: Confidential.
• Voice AI Appointment System: Built an inbound/outbound calling agent for healthcare providers that conducts eligibility screening with dynamic workflows (up to 40+ questions per flow), manages real-time slot booking via tool calls, and integrates with internal systems via custom adapters. Technologies: Daily Pipecat AI, LiveKit, Twilio, Deepseek, LangGraph, WebSockets, RabbitMQ, FastAPI microservices, React, Docker, MS SQL, Azure.
• Algorithmic Trading Platform: Created a multi-tenant SaaS delivering real-time buy/sell signals for US equity indices using transformer-based time series forecasting (LSTM, GRU, hybrid ARIMA-LSTM models) with Prophet. Integrated agentic AI for market analysis and trade execution decisions. Technologies: Python, FastAPI, React, PostgreSQL, Redis, LangGraph, Docker, Kubernetes, AWS with auto-scaling infrastructure.
• ETRM Energy Trading System: Single-tenant platform managing position limits, trade surveillance, and OTC trades across ICE and CME exchanges. Integrated agentic AI capabilities for pattern recognition and risk assessment. Technologies: .NET Core, React, PostgreSQL, Kafka, Redis, LangChain, Pinecone, Docker, Azure.
• Agentic RAG & MCP Systems: Implemented Model Context Protocol for an ATS platform and stock-forecasting bot, enabling intelligent context retrieval across distributed data sources. Used Pinecone, Milvus, Elasticsearch, and LlamaIndex for semantic search.
Core Technical Expertise:
• AI/ML Specializations: Multi-agent systems with high-level control (CrewAI, Google ADK, OpenAI Agents SDK) and low-level orchestration (LangGraph, custom frameworks for specialized workflows), LLM fine-tuning (PEFT, LoRA/QLoRA), RAG architectures, computer vision (YOLOv11/v12, OpenCV, MediaPipe), NLP (BERT, RoBERTa, spaCy, NLTK), time series forecasting, predictive modeling with TensorFlow and PyTorch.
• Full-Stack Development: Frontend (React, Next.js, Redux/Zustand, MUI, Tailwind CSS), Backend (Python/FastAPI, Node.js/Express, .NET, PHP), APIs (REST, GraphQL, gRPC), real-time communication (WebSockets).
• Cloud & Infrastructure: Multi-cloud expertise (AWS, Azure, GCP), infrastructure-as-code with Terraform, containerization (Docker, Kubernetes), serverless architectures, cost optimization strategies, VPS management with NGINX.
• Data Layer: SQL databases (PostgreSQL, MS SQL, MySQL), NoSQL (MongoDB), vector databases (Pinecone, FAISS, Milvus), graph databases (Neo4j), ORMs (SQLAlchemy, Prisma), caching layers (Redis).
• LLMOps & AI Platforms: Azure AI Foundry, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic Claude, Gemini AI Studio, Hugging Face ecosystem, Unsloth, LLAMA4, Qwen, Gemma, platform orchestration tools.
• Integrations & Automation: Slack, Discord, Telegram, Twilio, Trello, Google Sheets, Airtable, Make, n8n, Google Drive, etc.
MS in Data Science and seven years of hands-on experience mean I approach problems holistically: understanding business requirements, designing scalable architectures, iterating based on real-world metrics.
#AI-Solutions-Architect
Steps for completing your project
After purchasing the project, send requirements so Farhan can start the project.
Delivery time starts when Farhan receives requirements from you.
Farhan works on your project following the steps below.
Revisions may occur after the delivery date.
Development