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Fiverr Pro
English
$
USD
I will be your pro ai developer for custom machine learning apps
Gunjesh
About this gig
Looking for a production-grade AI system rather than a basic API wrapper? As an Applied AI Engineer specializing in advanced LLM applications, I build highly optimized, secure, and scalable AI infrastructure tailored to your business needs.
What I can develop for you:
Autonomous AI Agents: Multi-agent frameworks designed to execute complex, multi-step workflows independently.
Advanced RAG & GraphRAG: High-accuracy knowledge retrieval systems connected securely to your private databases or documents.
Fine-Tuning & MLOps: Custom-trained domain-specific models optimized for enterprise performance.
Model Optimization: Speed up inference and cut compute costs using advanced quantization and speculative decoding.
Why work with a Pro AI Engineer?
I don't just write simple scripts; I design robust, privacy-compliant AI architectures that handle edge cases seamlessly and scale efficiently. From initial pipeline design to production-ready MLOps workflows, I ensure your AI works flawlessly.
Please message me before placing an order to discuss your custom project requirements!
Get to know Gunjesh
Gunjesh
Ai Engineer
- FromIndia
- Member sinceJul 2026
Languages
English
I am a professional Applied AI Engineer specializing in production-grade AI systems, autonomous agentic workflows, and advanced LLM orchestration. With a robust background spanning MLOps, fine-tuning domain-specific models, and optimizing performance through quantization and speculative decoding, I help clients bridge the gap between cutting-edge AI research and scalable enterprise applications. My expertise includes implementing state-of-the-art architectures like GraphRAG and building privacy-compliant, secure infrastructure.
FAQ
Do I need to provide my own API keys or cloud infrastructure?
Yes, you will need to provide the API keys (such as OpenAI, Anthropic, or Cohere) or cloud compute infrastructure (AWS, GCP, RunPod) where the application will be hosted. I will guide you through setting these up securely if needed.
How do you ensure my private company data remains secure and private?
Data privacy is a top priority. I build secure, compliant AI architectures using data-masking, enterprise vector databases, or local open-source models (like Llama or Mistral) so your data never leaves your servers.
What is the difference between standard RAG and GraphRAG?
Standard RAG finds specific facts via vector search. GraphRAG maps data into a knowledge graph first, enabling the LLM to connect complex relationships across thousands of pages and answer holistic, high-level questions.
Can you work with open-source models or local deployment?
Absolutely. I work extensively with both commercial APIs and open-source models. I can fine-tune, optimize (via quantization), and deploy models locally or on private cloud servers to completely eliminate third-party dependency and drastically reduce long-term token costs.
