Senior Full Stack Developer at Goji Labs (2024-12 – Present)
Senior Full Stack Engineer developing high-performance AI-driven web applications
- Engineered an end-to-end, high-traffic e-commerce platform with Python and Next.js, delivering a resilient, device-agnostic experience from initial architecture through production deployment.
- Worked hands-on with data modelling and persistence in PostgreSQL, implementing disciplined, versioned database migrations with rollback strategies
- Delivered an AI-powered search that converts natural-language queries into weighted keywords with user-adjustable relevance, improving search accuracy by 35%, increasing user engagement by 25%, boosting conversion rates by 18%, and reducing time-to-find by 40%.
- Implemented A/B testing and event tracking to compare key metrics like click-through rate, conversion, and time-to-result between the old and new search
- Led the migration from a monolith to serverless microservices on AWS Lambda, introducing event-driven communication via SQS to decouple services and improve scalability.
- Migrated Lambdas to ECS, resulted in AWS Bill going down 30%
- Designed and implemented a high-impact CI/CD pipeline using GitHub Actions, Docker, and AWS ECS (with ECR), reducing deployment time by 70%, increasing release frequency by 3×, and improving reliability through automated testing and zero-downtime deployments.
- Strong in data governance, security best practices, and GDPR/CCPA compliance, ensuring privacy and regulatory integrity
- Collaborated closely with product managers, designers, and colleagues to deliver scalable features, align technical decisions with business goals through open communication
- Mentored junior developers through code reviews, pair programming, and knowledge sharing, helping them improve code quality and grow their technical skills
Full Stack Developer at IT Solutions Limited (2020-11 – 2024-11)
Engineered end-to-end high-traffic e-commerce platform with focus on AI integration and performance optimization
- Engineered an end-to-end, high-traffic e-commerce platform with Python and Next.js, delivering a resilient, device-agnostic experience from initial architecture through production deployment.
- Implemented AI-powered recommendation system using LLMs to generate personalized product suggestions and enhance search relevance.
- Improved API and application performance, introducing distributed caching and asynchronous data flows to support high-concurrency workloads
- Used LLMs for review summarization, generating concise pros/cons from thousands of user reviews.
- Optimized platform performance using Redis caching, CDN (CloudFront), and database query optimization.
- Built secure authentication & authorization using JWT, OAuth, and AWS Cognito with role-based access for users and admins.
- Improved observability and operational reliability, proactively monitoring system performance and user behavior to detect issues early and shorten incident resolution time.
Software Developer at Swipii (2018-07 – 2020-11)
Developed ecommerce backend features and frontend components with focus on data privacy and security
- Developed and maintained ecommerce backend features using PHP(Laravel), building scalable APIs and integrating third-party services.
- Improved performance and code quality through refactoring, modular architecture, and adherence to best practices.
- Improved platform stability and quality by contributing unit tests, resolving bugs, and collaborating on frontend–backend integration issues with senior engineers.
- Developed and styled reusable frontend components for dashboards, surveys, and analytics, enhancing usability and consistency across web and mobile experiences.
- Supported backend API development for managing user data, assessments, and reporting, with strong focus on data privacy and security requirements.
- Implemented robust form logic and validation for daily check-ins and assessments, improving data accuracy and completion rates.
