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$
USD
I will build multi agent ai systems and custom rag pipelines
Yogesh S
About this gig
Are you looking to integrate enterprise-grade AI that actually impacts your bottom line? Stop settling for basic ChatGPT wrappers.
With 12+ years of experience building scalable data pipelines and AI platforms for companies like Google, Meta, Barclays, Turing, and Perplexity, I build highly secure, custom AI solutions tailored to your proprietary data.
What My Team & I Can Build For You: Multi-Agent Systems:
Specialized AI agents (leveraging frameworks like LangGraph and CrewAI) working in parallel to automate complex, multi-step business workflows.
Advanced RAG Pipelines: Secure, hallucination-free retrieval systems allowing you to query massive internal company datasets and document bases.
Custom Machine Learning & Fraud Models: Fintech-grade models designed for high accuracy (e.g., previously reduced AML false positives from 87% to 59%).
Agentic Business Automation: Replace manual, repetitive operations with supervised AI agents integrated directly into your existing software or ERPs.
Backed by a dedicated engineering team, we deliver production-ready systems built to enterprise standards.
Get to know Yogesh S
Yogesh S
FullStack Fintech AI Engineer
- FromIndia
- Member sinceJun 2026
Languages
English, Hindi
I'm a Fractional CTO with 12+ years building enterprise AI and fintech platforms for companies like Barclays, Google, Perplexity, Times of India and Meta
My specialties:
• AI & ML: Multi-agent systems, complex RAG & fraud models
• Fintech & Data: 72 PB pipelines, 1B+ daily events & fast APIs
• Full-Stack: Scalable AI apps & agentic workflows
Backed by my small team of AI, cloud, and data engineers, I build secure architectures, slash cloud costs, and replace manual ops with AI. Get senior tech leadership without the full-time cost. Let's scale your technology.
FAQ
Is my company's proprietary data safe?
Absolutely. Coming from a fintech background with companies like Barclays, I enforce strict data security and compliance standards. Your data is isolated, never used to train public foundational models, and I am fully willing to sign an NDA before we begin our discovery phase.
What is the difference between a standard ChatGPT wrapper and a Multi-Agent System?
A basic AI wrapper relies on a single prompt to do a generic task. A multi-agent system acts like a digital workforce. We configure distinct AI "agents" with specific roles (e.g., a researcher, an analyst, and a reviewer) that communicate with each other to automate complex, multi-step business work
Will the AI hallucinate or make up facts about our business?
We mitigate hallucinations by implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This ensures the AI models explicitly pull answers only from your proprietary knowledge base, manuals, or databases, rather than guessing based on its general training data.
Do you just build the AI, or do you handle the cloud infrastructure too?
We handle end-to-end delivery. Supported by my dedicated team of cloud and data engineers, we architect the necessary vector databases and data pipelines on AWS or GCP to ensure the AI runs securely at scale, with low latency (p99 < 50ms).
Can you integrate these AI models into our existing software or ERP?
Yes. We specialize in full-stack AI application development. Whether you need the AI integrated into an existing SME ERP system, a custom SaaS platform, or via secure REST APIs, we ensure a seamless integration with your current tech stack.
