Lalit Singh

Backend engineer with 7+ years building scalable, event-driven systems on Node.js, TypeScript, and AWS.

Experience spans HIPAA/HL7-compliant healthcare microservices and high-throughput, serverless media pipelines, with a consistent focus on API design, reliability, and leading small engineering teams. Comfortable owning systems end-to-end, from architecture through CI/CD to production scaling.

Lead Engineer - Mokaa Studios - Remote

(2025-12)

• Lead backend architecture and system design for a photo booth campaign platform handling high-volume image processing workflows.
• Develop scalable backend services using Node.js, Express.js, and Next.js, ensuring efficient API design and secure data handling.
• Build and maintain frontend features using React.js, delivering seamless campaign management and user interaction experiences.
• Architected an event-driven image processing pipeline integrating AWS SQS, Lambda, and S3 to automate photo ingestion, transformation, and storage.
• Implemented AI-based image processing workflows for campaign-specific creative generation and automated asset optimization.
• Designed asynchronous processing mechanisms to handle burst traffic during live campaign events, ensuring reliability and minimal latency.
• Drive technical decisions, mentor developers, conduct code reviews, and maintain high engineering standards across backend and frontend systems.

Senior Software Developer - GivHealth Care Inc. - Gurugram

(2024-10 - 2025-10)

• Architected HIPAA-compliant and HL7-integrated microservices for secure medical data exchange and regulatory adherence.
• Engineered scalable backend services in Node.js, PostgreSQL, and MongoDB; optimized API design and data modeling, improving response times by 45%.
• Directed backend operations — task planning, code reviews, and AWS-based CI/CD — increasing release velocity by 40% while upholding coding standards.
• Enhanced inter-service communication using API Gateway, load balancers, and event-driven patterns to strengthen scalability and reliability.
• Implemented a patient onboarding optimization that reduced setup time by 28% and cut support tickets by 22%, accelerating new user activation.
• Scaled backend services to handle 3x peak load during flu season with auto-scaling and resilient retry logic, achieving 99.95% uptime.

Senior Backend Developer - AlgoMedical Group Inc. - Toronto, Canada (Remote)

(2020-06 - 2024-10)

• Built and optimized RESTful APIs using Node.js and Express.js backed by MongoDB, improving application efficiency by 30%.
• Implemented AWS services (EC2, S3, Lambda, Load Balancer) to enhance performance and scalability by 40%.
• Analyzed system requirements and recommended changes to ensure program interoperability, reducing system downtime by 20%.
• Delivered core modules including shift scheduling, billing, payments, pharmacy order management, and EMR systems, ensuring reliable cross-service integration.
• Drove a 22% rise in patient scheduling adoption over a quarter, expanding platform usage and delivering measurable efficiency gains across support processes.
• Enhanced release quality with 85% test coverage, resulting in fewer production bugs and more stable deployments across multiple services.

Junior Software Developer - Possibility Solutions Private Limited - Mohali

(2018-10 - 2020-05)

• Developed and maintained software features integrated into existing systems, significantly enhancing functionality and user experience.
• Built RESTful APIs to serve data to JavaScript frontends for 10,000+ concurrent users, improving data retrieval times by 25%.
• Deployed and maintained applications on production servers, ensuring 99.9% availability and scalability.
• Contributed to 10+ projects, demonstrating expertise in API development, AWS server management, and problem-solving.
• Optimized data processing and caching, cutting API latency by 40% and improving user wait times across the platform.
• Implemented streamlined API features that reduced hosting costs by $2K monthly while maintaining reliability and response quality.
• Expanded test harness coverage to catch regressions earlier, cutting production incidents by 60% within three months of active monitoring.

Bachelor of Technology - Computer Science - ITM University, Gwalior, India (2018-05)