Full Stack Software Engineer with 4+ years of experience building scalable, high-performance web and mobile applications using React, Node.js, and AWS. Strong background in API design, microservices architecture, cloud-native development, and AI/ML integration.
Experience
2025 — Now
2025 — Now
Ontario, Canada
• Contributed to building scalable merchant-facing applications using React, TypeScript, and Node.js in a multi-tenant environment
• Designed and optimized REST APIs handling 150K requests/day, improving reliability through better error handling, validation, and rate limiting
• Reduced API latency by 25% by optimizing PostgreSQL queries, adding indexing, and improving data access patterns
• Developed serverless and event-driven workflows using AWS Lambda, API Gateway, and SQS to handle asynchronous processing
• Integrated AI-powered features using LLM APIs to enhance merchant recommendations and automate routine support workflows
• Improved observability by implementing structured logging and monitoring with CloudWatch, reducing debugging time
• Collaborated with cross-functional teams to deliver production features impacting merchant workflows and internal tools
• Increased test coverage to 80% using Jest and integration testing, improving system stability and release confidence
2024 — 2024
2024 — 2024
Canada
• Developed and maintained full-stack features for Cority's EHS (Environmental, Health & Safety) SaaS platform using React, TypeScript, and Node.js
• Built and enhanced RESTful APIs for core platform modules including incident management, audit tracking, and compliance reporting, handling high-volume enterprise data reliably
• Optimized PostgreSQL queries and introduced strategic indexing across critical reporting workflows, reducing average query execution time by 35%
• Designed and implemented event-driven microservices using AWS SQS and Lambda to automate compliance notifications and background data processing tasks
• Integrated AI-powered features using LLM APIs to assist users with intelligent form suggestions and automated risk classification, reducing manual data entry effort by 25%
• Improved frontend performance and accessibility of complex data-heavy dashboards using React and D3.js, resulting in measurably faster load times for enterprise users
• Strengthened platform security by implementing JWT-based authentication, RBAC, and audit logging across sensitive EHS data workflows
• Contributed to CI/CD pipeline improvements using GitHub Actions and Docker, increasing deployment frequency and reducing release cycle time by 20%
2023 — 2023
2023 — 2023
Canada
• Built internal tools and dashboards using React, Node.js, and Python, enabling efficient data access for 50K users
• Developed reusable microservices and REST/GraphQL APIs, improving modularity and reducing development time by 25%
• Integrated ML model APIs and AI-driven analytics pipelines into production systems, enabling real-time decision automation and intelligent financial insights
• Leveraged prompt engineering and LLM APIs to prototype an AI assistant for internal tooling, reducing analyst query time by 35%
• Improved system reliability (97% uptime) through enhanced monitoring, alerting, and fault-tolerant design patterns
• Reduced MTTR by 40% by debugging production issues using logs, metrics, and distributed tracing approaches
• Participated in code reviews, CI/CD pipelines, and test automation practices
2020 — 2022
2020 — 2022
Ahmedabad
• Developed scalable web applications using Angular and Node.js, supporting 10K+ concurrent users
• Built RESTful APIs and backend services with Express.js, improving performance and maintainability
• Designed real-time features using WebSockets for notifications and live updates
• Optimized database performance (PostgreSQL, MongoDB) using indexing, query tuning, and schema design achieving 60% improvement in query speed
• Implemented authentication and authorization using JWT and RBAC
• Containerized applications using Docker and improved CI/CD pipelines, reducing deployment time by 60%
• Explored early AI/ML integrations for predictive analytics use cases, working with data science teams to serve model outputs through backend APIs
• Worked closely with QA and DevOps teams to ensure production stability and smooth releases
Education
Saskatchewan Polytechnic
Postgraduate Degree
2024 — 2024
Conestoga College
Postgraduate Degree
2023 — 2023
Kadi Sarva Vishwavidyalaya (KSV), Gandhinagar
Bachelor's degree
2019 — 2022