Gagan Deep Singh

Chief Technology Officer @ Blocktech Brew

About

I architect systems that scale. Over 14 years as CTO, I've designed backend infrastructures handling millions of concurrent users, built AI automation pipelines that cut operational overhead by 80%, and shipped blockchain protocols processing $100M+ in transaction volume. My work spans three domains: Scalable Systems — Event-driven architectures using Kafka, Redis, and PostgreSQL handling 50K+ requests/second. Kubernetes deployments with auto-scaling policies that manage 10x traffic spikes while reducing cloud costs by 35%. AI Automation — LLM-powered development workflows for automated code review, test generation, and documentation. Production AI solutions including recommendation engines, NLP systems, and predictive analytics across 50+ enterprise deployments. Blockchain Infrastructure — 250+ production smart contracts across Ethereum, Solana, Avalanche, and TON. DeFi protocols, RWA tokenization platforms, NFT systems, and trading bots—all built with security-first architecture and gas optimization. Currently leading 400+ engineers across Code Brew Labs and BlockTech Brew, shipping products for 10,000+ clients globally from 6 international locations. The stack: Backend: Node.js, Python, Go, Rust Frontend: React, Next.js, React Native, Flutter Data: PostgreSQL, MongoDB, Redis, TimescaleDB Infra: AWS, GCP, Kubernetes, Terraform Blockchain: Solidity, Rust (Solana), Hyperledger Fabric AI/ML: LangChain, OpenAI APIs, custom fine-tuning Solving hard problems in distributed systems, AI, or Web3? Let's talk. gaganmj23@gmail.com

Country

Canada

City

Toronto

Industry

Information Technology & Services

Skill

Distributed Systems, Microservices, React Native, Node.js, Go (Programming Language), Python (Programming Language), Amazon Web Services (AWS), Kubernetes, PostgreSQL, Redis, AI/ML Integration, Rust (Programming Language), DeFi Architecture, Tokenomics Design, Solidity, Machine Learning, Natural Language Processing (NLP), Generative AI, Robotic Process Automation (RPA), Mobile Application Development

Experience

Chief Technology Officer

Blocktech Brew

2018-8 - Present · 8 yrs 2 mos

Dubai, United Arab Emirates

Leading technical strategy and architecture for a Web3-focused development firm serving enterprise clients across USA, UK, Dubai, and India. Engineering Leadership: Scaled engineering team from 15 to 80+ developers. Established code review standards, CI/CD pipelines, and microservices architecture patterns that reduced deployment time by 60%. Blockchain Infrastructure: Architected and deployed 250+ smart contracts across Ethereum, Solana, Avalanche, and TON networks. Built DeFi protocols handling $100M+ TVL, including custom AMM implementations, staking mechanisms, and cross-chain bridges. Key Technical Deliveries: - RWA tokenization platform with ERC-3643 compliance and on-chain KYC integration - High-frequency trading bot infrastructure processing 10K+ trades/day with sub-100ms latency - Carbon credit marketplace with verifiable on-chain audit trails - NFT launchpad supporting 500K+ mints with gas-optimized batch processing AI Automation: Built internal AI development tools including automated smart contract auditing, LLM-powered code generation for boilerplate contracts, and AI-driven testing frameworks that increased code coverage by 40%.

Chief Technology Officer

Code Brew Labs

2013-1 - Present · 13 yrs 9 mos

Chandigarh

Built and scaled a mobile-first development company from a 5-person team to 400+ engineers, serving 10,000+ clients globally. System Architecture: Designed backend systems for applications serving 10M+ users. Implemented event-driven architectures using Kafka and RabbitMQ, with PostgreSQL and Redis for data persistence and caching layers that reduced API response times by 70%. Mobile Engineering: Led architecture for 500+ mobile applications across React Native and Flutter. Established performance benchmarks achieving <2s cold start times and 99.9% crash-free rates. Built reusable component libraries and design systems that reduced development time by 40%. Infrastructure & DevOps: Migrated infrastructure to Kubernetes on AWS/GCP, implementing auto-scaling policies that reduced cloud costs by 35% while handling 10x traffic spikes. Established Terraform-based IaC practices and GitOps workflows. AI Integration: Pioneered AI-powered features across client applications—including recommendation engines, NLP-based chatbots, image recognition systems, and predictive analytics dashboards. Delivered 50+ production AI solutions. Technical Mentorship: Established engineering culture focused on code quality, documentation, and continuous learning. Built internal training programs covering system design, security best practices, and emerging technologies.