About
I build products, not disconnected tickets.
I'm Zaid Jamal, an ML engineer and full-stack developer with a B.Tech in machine learning and more than five years of experience building AI systems, web applications, mobile products, real-time platforms and geospatial tooling. My work spans model and agent development, product engineering, frontend architecture, backend services, maps, financial systems, blockchain-based environmental assets and production infrastructure.
I founded CLZTR, a live city discovery platform, and I've built products in carbon markets, industrial monitoring, event intelligence and AI-powered productivity.
I combine product thinking with hands-on implementation: understand the problem, choose the simplest reliable architecture, build carefully and measure what happens in production.
- Location
- India
- Work preference
- Remote and international collaboration
- Education
- B.Tech — Machine Learning
- Roles
- Machine Learning Engineer
- Senior Full-Stack Developer
- Founding Engineer
- Fractional CTO
- Technical Product Consultant
Worked with
Brands and teams I've built with.
Engagements across banking, retail, logistics, incident response and AI SaaS — as engineer, consultant or embedded product partner.
- SantanderBanking · FinTechEngineering on customer-facing digital banking experiences.
- Banco de ChileBanking · Digital PlatformsWeb platform engineering for digital banking journeys and tooling.
- Banco RipleyBanking · Consumer CreditCustomer portal engineering across accounts and credit products.
- Total Wine & MoreRetail · E-commerceE-commerce engineering across catalog, search and checkout surfaces.
- PagerDutyIncident Response · DevOpsPlatform and integration engineering around alerting workflows.
- AuthorifyAI Publishing · SaaSFull-stack product engineering on AI-assisted authoring and marketing tools.
- AmplificaLogistics · E-commerce OpsEngineering for LATAM e-commerce shipping and logistics operations.
- Easy St.FinTech · Investment PlatformsBackend services and dashboard interfaces for investment portfolio management.
All trademarks belong to their respective owners.
Capabilities
One person, six disciplines.
The stack changes per project; the ownership doesn't. These are the areas I work in daily — with applied AI and blockchain running through them.
AI & Machine Learning
Applied AI across shipped products — live meeting copilots, agentic desktop automation, event intelligence and generative video.
- LLM product integration
- RAG & vector search
- AI agents & tool use
- Diffusion & generative video pipelines
- GPU inference orchestration
- Local & cloud model routing
- Realtime transcription & voice
- Fine-tuning & LoRA workflows
- Prompt design & evaluation
- AI safety boundaries & moderation
Product Engineering
- Product discovery
- Technical planning
- UI architecture
- Design systems
- Accessibility
- Performance
Frontend & Mobile
- React
- Next.js
- TypeScript
- React Native
- Expo
- Angular
- State management
- Testing
Backend & Data
- Node.js
- NestJS
- Express
- Go
- Python
- Ruby on Rails
- PostgreSQL
- MongoDB
- Redis
- APIs
- Real-time communication
Infrastructure & Systems
- Docker
- Nginx
- GCP
- CI/CD
- Caching
- Queues
- Monitoring
- Scalability
- Geospatial architecture
Blockchain & Digital Assets
Applied blockchain for real-world assets — carbon methodologies digitized on Hedera Guardian, tokenized credits and wallet infrastructure.
- Hedera Guardian policy workflows
- Methodology digitization (VM0048, VM0033, MECD)
- Digital MRV pipelines
- W3C DID / verifiable credentials
- Token lifecycle & registries
- Wallet integration & signing flows
- Smart contracts (EVM / Solidity)
- On/off-chain reconciliation