Senior Full Stack Software Engineer | Founding Engineer (AI & Cloud Platforms)

Developed a next-generation document automation platform with redlining, version control, and e-signature capabilities, serving 10,000+ legal users, using Next.js and TypeScript for the frontend and Node with NestJS for the backend. Designed and implemented an AI-powered system for automated clause detection and contract review, incorporating Generative AI models and Chatbots, which improved paralegal review efficiency by over 40%. Leveraged React Native to deliver a modernized workflow and UI, increasing client adoption by 35% and cutting average document review time from 25 minutes to ~15 minutes per document. Improved infrastructure scalability and system uptime to 99.8% by deploying services with Docker, Redis caching, and Kafka event streams, and enhancing monitoring and alerting pipelines. Integrated OAuth-based authentication and role-based access control to securely manage 5,000+ concurrent users while maintaining compliance with enterprise security standards. Engineered a healthcare data platform with real-time patient monitoring and analytics, using Svelte for the frontend and Python for backend services and AI-powered analytics, serving 5,000+ medical staff and patients, which improved data accessibility and reduced manual reporting time by ~30%. Mentored and coached a team of 4–6 engineers, promoting adoption of automated testing, CI/CD pipelines, and collaborative GitHub workflows, which increased release confidence and reduced post-deployment issues by ~30%.

- Modernized core financial transaction systems processing ~1.5M+ transactions per day for global clients, rebuilding key services with Python, Django, MySQL, and GraphQL while maintaining 99.9% uptime, strict data integrity, and compliance with financial industry standards. - Built and improved customer onboarding and digital payment flows used by 200K+ monthly active users, developing web interfaces with Vue/Nuxt and TypeScript/Pinia in collaboration with product and data teams. - Enhanced financial analytics and reporting platforms serving 100+ partner institutions, optimizing GraphQL queries and backend aggregation to reduce average report generation time from 12 seconds to under 8 seconds. - Implemented AI/ML-based anomaly detection models that analyzed millions of transaction records daily, reducing reporting latency by ~35% and manual reconciliation efforts by 25%. - Deployed and operated production workloads on AWS and GCP for 30+ microservices, leveraging Docker, Kubernetes, and serverless functions, which improved system availability to 99.9% and reduced deployment inconsistencies by ~40%. - Worked closely with compliance and security teams to ensure 100% of customer data and transaction flows met evolving financial regulations, contributing to zero critical audit findings across multiple reviews.

- Contributed to enterprise-scale web applications supporting 6,000+ internal users across 4 regions, building full-stack features with React,Node.js, Express, and MongoDB that improved cross-team collaboration and reduced task turnaround time by ~18%. - Redesigned of multiple business intelligence dashboards used by operations and finance teams, implementing UI updates with React and jQuery and improving REST API data handling, which reduced average dashboard load times from 8 to 10 seconds to approximately 3–4 seconds. - Worked within Agile/Scrum teams (2-week sprints) alongside product managers, designers, and QA, consistently delivering 95%+ sprint commitments on time while maintaining clean architecture, thorough documentation, and GitHub-based pull request reviews. - Designed and integrated 20+ RESTful APIs to automate data flow between internal tools (CRM, reporting, and analytics systems), eliminating manual CSV-based workflows and reducing operational overhead by approximately 25%. - Built and maintained CI/CD pipelines using GitHub Actions, automating testing and deployment to Netlify, which reduced release cycles from weekly to on-demand and cut production rollback incidents by ~40%. - Developed and maintained 200+ unit and end-to-end (E2E) tests using modern testing frameworks, increasing release confidence and reducing post-deployment defects by over 30% across three major releases. - Supported and collaborated with mid-level developers through code reviews, technical discussions, and React performance optimizations, helping improve code consistency, delivery reliability, and shared ownership across the team

- Designed a configurable workflow builder enabling lab administrators to create complex testing pipelines via a React + TypeScript drag-anddrop UI, supporting conditional logic, parallel steps, and validation rules. - Architected and implemented a workflow execution microservice using Node.js and AWS Lambda, enabling event-driven, horizontally scalable processing of thousands of lab samples per day with minimal latency. - Built real-time workflow and sample status tracking using WebSockets, allowing lab technicians and managers to monitor execution progress, bottlenecks, and failures instantly without page refreshes. - Optimized PostgreSQL schemas and queries for workflow definitions and execution history, reducing average workflow retrieval and rendering time by ~40% and improving overall UI responsiveness. - Implemented automated result validation and rule-based thresholds, enabling labs to configure custom limits and automatically flag abnormal or out-of-spec results, reducing manual review effort for technicians. - Improved platform reliability by strengthening error handling, retry mechanisms, and idempotent execution logic, reducing workflow execution failures by 30%. - Collaborated closely with QA and DevOps to support CI/CD pipelines, staging validation, and production monitoring, ensuring safe rollout of workflow changes in a regulated lab environment.