Kadripathi KN

AI Researcher

London, England, United Kingdom4 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Pioneered world's first autonomous supply chain intelligence platform.
Achieved 60% efficiency gains in procurement workflows.
Increased client acquisition by 40% with AI solutions.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in multi-agent systems and production ML solutions.

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Skills

Core Skills

Multi-agent OrchestrationProduction Ml OpsFull-stack Ai Development

Other Skills

AWSArtificial Intelligence (AI)Cascading Style Sheets (CSS)Computer VisionDeep LearningDockerFAISSFastAPIFull-Stack DevelopmentGenerative AIGitHTMLLangChainLangGraphLarge Language Models (LLM)

About

Senior AI Engineer BUILDING QUANTUM SYSTEMS Senior AI Engineer specializing in production multi-agent systems, RAG architectures, and LLM orchestration for enterprise applications. I design and deploy autonomous AI systems that solve real business problems—from aerospace fault detection (98.76% accuracy) to intelligent supply chain automation (60% efficiency gains, 80% error reduction). CORE EXPERTISE: • Multi-Agent Orchestration (LangGraph, LangChain, AutoGen) • Retrieval-Augmented Generation & Vector Databases (Pinecone, Chroma) • LLM Integration & Fine-tuning (OpenAI, Anthropic, Claude) • Production ML Ops (FastAPI, Docker, AWS, MLFlow) • Full-Stack AI Development (Python, Next.js, Node.js) • Explainable AI for Regulated Industries (SHAP, LIME) My unique background bridges aerospace engineering and cutting-edge AI, enabling me to architect end-to-end ML solutions from research through production deployment. 📌 CURRENT FOCUS: Building intelligent automation systems for supply chain and procurement 📌 OPEN TO: Senior AI Engineer, ML Engineer, AI Product Engineer, Technical PM roles in EU/US 📌 REACH OUT IF: You're scaling AI teams, building agent frameworks, or need production ML expertise → Website: kadri-kn.com | Research: AIAA Publications | LinkedIn Articles on AI/ML

Experience

Quantum data labs

2 roles

Senior AI Engineer - Forward deployed engineer

Promoted

Oct 2025 – Present · 5 mos · On-site

Leading development of Procure-IQ, world's first fully autonomous supply chain intelligence platform with breakthrough agentic AI orchestration, deployed at GAS Arabian Services Company (Saudi Stock Exchange listed, 5000+ employees, major Saudi Aramco contractor).
Key Achievements:
Pioneered world-first commercial autonomous bid evaluation system: Architected multi-agent AI orchestration framework integrating technical AND commercial bid analysis, transforming week-long manual procurement processes into seconds-fast, audit-ready awards—achieving 3,600x speed improvement and 47% faster award decision timelines
Delivered 60% operational efficiency gains across procurement workflows through intelligent automation in controlled pilot environment, processing 2,000+ automated evaluation decisions daily at scale
Architected multi-modal semantic search engine achieving 94% precision and 350% faster query resolution (from 1.2s to 300ms average latency) across 50,000+ electrical, electronic, and mechanical inventory items.

MLOpsVector DatabasesModel Fine-tuningRetrieval-Augmented Generation (RAG)LangChainMulti-agent Systems+5

Artificial Intelligence Engineer

Nov 2024 – Oct 2025 · 11 mos · On-site

Engineered Market Research Intelligence Agent analyzing hundreds of product pages through autonomous web crawling for real-time competitive pricing intelligence, enabling data-driven negotiation strategies that saved 18% of overall spend on blanket orders
Built Lead Generation & Supplier Discovery Agent with semantic understanding of technical specifications, automating global supplier identification, vendor vetting, and decision-maker contact extraction through intelligent web scraping
Designed Intelligent Workflow Orchestrator using dynamic routing to classify Purchase Requisitions by urgency and value, intelligently bypassing standard approval loops to slash procure-to-pay cycle times

MLOpsVector DatabasesModel Fine-tuningRetrieval-Augmented Generation (RAG)LangChainMulti-agent Systems+5

Roshen process solutions

Machine Learning Engineer & AI Solutions Developer

Aug 2023 – Nov 2024 · 1 yr 3 mos · Milton Keynes, England, United Kingdom · On-site

Conducted applied AI research within global supply chain consultancy (15+ years operations across Australasia, Africa, Asia, Middle East), developing production ML systems for procurement optimization and customer engagement.
Key Achievements:
Increased client acquisition by 40% through engineering sophisticated LLM-powered conversational AI assistant with multi-turn dialogue management, context retention, and RAG-powered knowledge retrieval from historical procurement data
Improved profit margins by 23% and customer satisfaction by 37% by designing ML-powered dynamic pricing recommendation engine using customer willingness-to-pay analysis and multi-objective optimization balancing profitability, market share, and lifetime value
Built production-grade FastAPI microservices handling 10,000+ daily API requests with <100ms latency for AI-powered procurement assistants
Implemented automated lead qualification system through intelligent question routing and response analysis, improving sales team efficiency by 35%
Deployed scalable cloud infrastructure on AWS (EC2, Lambda, S3) supporting real-time ML inference for customer-facing applications
Technologies: Python, PyTorch, TensorFlow, FastAPI, LangChain, OpenAI API, RAG, Pinecone, FAISS, MongoDB, AWS, Docker, Git