I'm a Senior Software Engineer with 7+ years of experience building scalable, production-grade systems with a focus on AI/ML and distributed systems. Currently at SAP Concur, I architect and deploy machine learning solutions that serve millions of users globally.

const rushikesh = {
  location: "Vancouver, BC, Canada",
  currentRole: "Software Engineer III @ SAP Concur",
  focus: ["AI/ML", "Distributed Systems", "Backend Engineering"],
  education: {
    masters: "Computer Sciences - Data Sciences (First Class with Distinction)",
    bachelors: "Computer Engineering (First Class with Distinction)"
  },
  openTo: ["Consulting", "Full-time Opportunities", "Technical Writing"],
  status: "🟢 Available for select projects"
};

• 🎯 Built ML recommendation engines achieving 60% hotel accuracy and 50% flight accuracy
• 🤖 Architected agentic AI solutions for enterprise travel management
• 📊 Deployed production-grade systems handling millions of predictions daily

• ⚡ Re-engineered SAP Analytics Cloud with 200-500% performance improvements
• 🏗️ Led microservices architecture migration
• 📈 Optimized query engines for large-scale data processing

• 💹 Built stock exchange simulator for trading systems
• 💰 Reduced testing costs by 50% through automated simulation
• ⚙️ Designed high-performance matching engines

• 🧠 Production ML Systems - Scaling recommendation engines at SAP Concur
• 🤖 Agentic AI Solutions - Building autonomous AI agents for enterprise workflows
• ✍️ Technical Writing - Sharing insights on AI/ML, Go, and distributed systems at reeshi.ai/blog
• 🔬 ML Research - Exploring novel approaches to recommendation systems and vector search

• 🦀 Rust - For high-performance systems programming
• 🔮 Advanced LLM Architectures - RAG, fine-tuning, and prompt engineering
• 📊 MLOps at Scale - Advanced deployment patterns and monitoring
• 🏗️ Event-Driven Architecture - Building resilient distributed systems

• 🧠 Building Production-Grade ML Recommendation Systems
• 🚀 Scaling Microservices with Go and Kubernetes
• 🤖 A Deep Dive into Agentic AI Systems
• ⚡ Optimizing Database Performance: Lessons from SAP Analytics Cloud

➡️ Read more articles on reeshi.ai/blog

mindmap
  root((Rushikesh))
    AI/ML
      Recommendation Systems
      LLMs & Vector Embeddings
      Agentic AI
      Model Deployment
    Backend Engineering
      Microservices
      Distributed Systems
      API Design
      Performance Optimization
    Cloud Architecture
      AWS Services
      Kubernetes
      Serverless
      Infrastructure as Code
    Data Engineering
      PostgreSQL
      Redis
      DynamoDB
      Real-time Processing

• 📈 60% accuracy in hotel recommendations serving millions of users
• ⚡ 200-500% performance improvement in SAP Analytics Cloud
• 💰 50% cost reduction in trading system testing infrastructure
• 🎓 First Class with Distinction in both Master's and Bachelor's degrees
• 🌍 Built systems serving millions of users globally

• 🎯 Production ML Experience - Not just models, but scalable, reliable ML systems
• 🏗️ Architecture Leadership - Designing systems that scale and perform
• 📊 Data-Driven Decision Making - A/B testing, metrics, and continuous improvement
• 🤝 Cross-Functional Collaboration - Working across teams to deliver business value
• 📚 Continuous Learning - Staying current with the latest in AI/ML and software engineering

I'm always interested in discussing:

• 🤖 AI/ML applications in production
• 🏗️ Distributed systems architecture
• 🚀 Performance optimization challenges
• 💼 Consulting opportunities
• 🎯 Full-time roles in AI/ML engineering