Principal Engineer | AI/ML & Distributed Systems Specialist

I build high-scale systems that process millions of events, power intelligent recommendations, and solve complex technical problems. Currently based in Vancouver, BC, working on AI-powered platforms while exploring contract opportunities in machine learning, cloud architecture, and backend engineering.

I specialize in architecting and building production systems at scale:

• Machine Learning & AI: Recommendation engines, collaborative filtering, predictive analytics, feature engineering
• Distributed Systems: Event streaming (Kafka), data pipelines (Spark), microservices architectures
• Cloud Infrastructure: AWS (ECS, Lambda, RDS, IoT Core), multi-region deployments, infrastructure-as-code
• Full-Stack Development: React frontends, Node.js/Python backends, RESTful APIs, real-time systems
• Data Engineering: Processing millions of daily events, real-time analytics, time-series databases

Built enterprise B2B platforms for:

• 🚗 Uber, Gojek, Grab, Careem – Connected vehicle platform serving 1M+ daily riders across 11K+ devices
• 🏥 Apollo Hospitals – Blockchain-based healthcare systems across 50+ facilities
• 🎯 MagSway – AI-powered influencer marketing platform with ML matchmaking

Technical achievements:

• 📊 Real-time data pipelines processing 5M+ daily events
• 🤖 ML recommendation engines with 40% accuracy improvements
• ⚡ Systems handling 50K+ messages/second with sub-second latency
• 👥 Scaled engineering teams from 3 to 60+ professionals
• 📜 Filed 2 international patents in IoT and distributed systems

Languages:       Python, JavaScript/TypeScript, Node.js, Java, PHP/Laravel
ML & Data:       scikit-learn, pandas, NumPy, Apache Kafka, Apache Spark
Frontend:        React, Redux, Next.js, Tailwind CSS
Backend:         Node.js/Express, FastAPI, Spring Boot, Microservices
Databases:       PostgreSQL, MySQL, MongoDB, Redis, TimescaleDB
Cloud & DevOps:  AWS, GCP, Docker, Kubernetes, Terraform, CI/CD
Specialized:     IoT, Blockchain (Hyperledger), WebSockets, Event-Driven Architecture

Built collaborative filtering system processing 100K+ daily events with <200ms inference latency. Achieved 40% improvement in matching accuracy through feature engineering and continuous A/B testing.

Architected cloud-native battery management system processing 1M+ sensor readings daily from 500+ devices. Implemented predictive maintenance algorithms reducing downtime by 25%.

Designed HIPAA-compliant EHR/PHR platform using Hyperledger Fabric deployed across 50+ facilities serving 100K+ patients with 99.95% uptime.

Built connected vehicle entertainment system for ride-hailing companies. Multi-region deployment handling 5M+ daily events across 4 countries with 99.9% SLA.

• 🤖 Exploring LLM integration and prompt engineering for production applications
• ☁️ Building cloud-native architectures with event-driven microservices
• 📊 Optimizing real-time data pipelines for ML model training and inference
• 🔐 Implementing zero-trust security architectures for distributed systems

I'm particularly interested in projects involving:

• Machine learning systems at scale
• Real-time data processing and analytics
• Distributed systems architecture
• IoT and edge computing
• Healthcare technology and compliance
• Developer tools and infrastructure

• 💼 LinkedIn: linkedin.com/in/viswanath608
• 📧 Email: viswanath608@gmail.com
• 📍 Location: Vancouver, BC, Canada
• 💬 Open to: Contract roles, technical consulting, architecture reviews

Contract opportunities in:

• Senior/Staff/Principal Software Engineer roles
• ML Engineer / AI Engineer positions
• Platform Engineer / Backend Engineer roles
• Solutions Architect / Technical Consultant
• Data Engineer / Infrastructure Engineer

Specialties: Python, Node.js, AWS, Kafka, Spark, React, ML/AI, Distributed Systems

⚡ Fun fact: I started my engineering journey building game server hosting platforms in university, scaled it to $2K MRR, and successfully exited. Been building systems at scale ever since!

💭 Philosophy: Code should be simple, systems should be resilient, and teams should be empowered. I believe in writing less code that does more, building for observability from day one, and shipping iteratively.