Rudresh M.
s Technical Consultant @Mi9 Retail
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WORK HISTORY
s Technical Consultant @Mi9 Retail
CA
Built production-scale GenAI solutions and enterprise data platforms for one of North America\'s leading retail technology companies, delivering AI-powered search, intelligent automation, and scalable data infrastructure. KEY ACHIEVEMENTS:GenAI & Intelligent Systems:Pioneered semantic search infrastructure processing 70K+ daily queries using Azure OpenAI and Pinecone vector database with hybrid retrieval architecture (dense + sparse vectors), boosting product discovery by 37.8% and generating $3.2M additional revenueOrchestrated enterprise GPT Builder agents with API integrations handling 8K+ monthly support queries at 91.3% accuracy, slashing response times by 54% while maintaining SOC2 compliance—eliminated all tier-1 support escalationsEliminated $200K annual overhead through JIRA provisioning automation using N8N workflows and self-hosted LLM infrastructure, cutting approvals from 48 hours to under 5 minutes with 94.7% accuracyData Engineering & Cloud Migration:Migrated 10.3TB across 47 databases to Azure Synapse with medallion architecture, achieving P99 query latency of 0.73s for 482 concurrent users—reduced infrastructure costs by $426K annuallyPrevented $1.3M in downstream errors implementing DBT framework with 847 quality tests, reducing data anomalies from 312 to 19 monthly incidents across 43 critical pipelinesML & Advanced Analytics:Reduced merchant churn by 35% architecting ensemble predictive models using XGBoost with feature engineering across 500+ behavioral signalsAutomated pricing extraction by 30% using transformer-based Vision-Language Models, processing 5GB monthly unstructured data for 300 enterprise accountsTech Stack: Azure OpenAI, Pinecone, LangChain, N8N, Apache Airflow, PySpark, DBT, XGBoost, ModernBERT, Azure Synapse, Data Factory, Power BI CopilotImpact:$5M+ revenue generation and $2M+ cost savings through AI-powered solutions and data platform modernization
EDUCATION
Trent University
Master's degree, Big data Analytics
SILVER OAK UNIVERSITY
Computer Engineering, Computer and Development Applications
ABOUT RUDRESH M.
I architect AI-powered data solutions that transform business operations and drive measurable revenue impact.With 6+ years of experience spanning data engineering and AI/ML, I specialize in building production-scale GenAI systems and enterprise data platforms. Currently at MI9 Retail, I\'ve pioneered semantic search infrastructure processing 70K+ daily queries, automated enterprise support with GPT agents handling 8K+ monthly queries at 91% accuracy, and migrated 10.3TB across 47 databases to modern cloud architectures. Expert in scaling AI products.What I Bring:GenAI Expertise: RAG systems, LLM fine-tuning, vector databases (Pinecone, Weaviate), semantic search, AI agents using LangChain and Model Context ProtocolData Engineering: Azure Fabric, Synapse Analytics, Data Factory, PySpark, Kafka, Airflow, DBT, real-time streaming pipelinesCloud Architecture: Azure & AWS, MLOps, Kubernetes, microservices, CI/CD automationBusiness Impact:$3.2M additional revenue through product discovery optimization,$200K cost reduction via automation, 35% churn reduction through predictive modelingI\'ve delivered end-to-end ML systems for Fortune 500 companies, retail giants, and capital markets clients—from fraud detection protecting $26M annually to OCR-powered pricing analysis saving $10M+ for the world\'s largest FMCG manufacturer.My approach combines technical depth with business acumen. I translate complex AI/ML concepts for C-suite stakeholders and build solutions that don\'t just work in notebooks—they scale in production, maintain 99%+ uptime, and deliver ROI.Recent highlights: Built GPT Builder agents eliminating tier-1 support escalations Automated JIRA provisioning reducing 48-hour processes to under 5 minutes Deployed ModernBERT document summarization achieving 40% faster processing Published research at NeurIPS 2024 on TTS.Master\'s in Big Data Analytics from Trent University. Based in Toronto, open to exciting opportunities in AI/ML and data engineering.Let\'s connect if you\'re building the future with data and AI.
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