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
