Available for Remote Work
MERN Stack Specialist building scalable applications
3+ years experience • 10+ production systems delivered • Healthcare, ERP & SaaS expertise
Problem-solving, not buzzwords
Architect systems that handle growth without breaking. Built applications serving 10M+ requests daily with 99.9% uptime.
Translate technical decisions into business outcomes. Reduced infrastructure costs by 40% while improving performance metrics.
Build systems that work when they need to. Comprehensive testing, monitoring, and observability from day one.
Think beyond code. Consider maintenance, documentation, team velocity, and long-term technical debt.
Professional journey
Family Builders & Developers
Oct 2024 – Present
Engineering enterprise CRM systems and AWS infrastructure for scalable applications
Ace On Technology
Sep 2023 – Oct 2024 (1 year 2 months)
Built production applications across healthcare and e-commerce sectors
Freelance
Jun 2022 – Jul 2023 (1 year 2 months)
Delivered SaaS and e-commerce solutions for international clients
Problem
Businesses needed unified lead management across WhatsApp, Facebook Lead Ads, and webhooks with automated workflows.
Solution
Built a microservices platform integrating WhatsApp Business API, Facebook Lead Ads, and visual flow automation. Features round-robin team assignment, real-time messaging, and multi-channel analytics.
Impact
Automated 80% of lead processing • 3x faster response times • Unified multi-channel dashboard
Why It Matters
Enables businesses to scale lead management without proportional resource increases, directly impacting conversion rates and operational efficiency.
Problem
Email campaigns lacked personalization, leading to low engagement and poor customer experiences.
Solution
Developed an AI-powered email automation platform with visual flow builder, intelligent content generation, and real-time analytics. Uses GPT-4 for dynamic personalization.
Impact
45% increase in open rates • 2.5x click-through improvement • 70% reduction in unsubscribes
Why It Matters
AI-driven personalization adapts to customer behavior, ensuring relevant interactions that strengthen relationships and drive conversions.
Problem
Organizations struggled with manual HR processes for attendance, performance tracking, and payroll management.
Solution
Built enterprise HR platform with automated attendance tracking, performance evaluation, task management, and real-time dashboards. Supports biometric integration and role-based access.
Impact
85% automation of HR tasks • 50% reduction in payroll errors • Real-time performance insights
Why It Matters
Streamlines workforce management, enabling HR teams to focus on strategic initiatives rather than administrative overhead.
Problem
Property managers needed a unified platform for listings, tenant communication, lease management, and payments.
Solution
Created rental management platform with property listings, real-time chat, digital lease generation, and integrated payments. Features map-based search and automated reminders.
Impact
40% reduction in management time • 70% faster payment processing • Streamlined lease workflows
Why It Matters
Digitizes the entire rental lifecycle, making property management efficient for landlords and accessible for tenants.
Problem
An enterprise monolithic application was struggling to scale: deployments took 2–3 hours, a single failure could bring down the entire system, and teams were blocked from shipping features independently. The shared codebase had grown to 100K+ LOC, making changes risky and slow.
Solution
Architected and executed a zero-downtime migration from monolith to microservices. Decomposed the application into domain-bounded services (Auth, User, Notifications, Reporting), containerized with Docker, orchestrated on AWS EKS (Kubernetes), and deployed via CI/CD. Implemented API Gateway (AWS API Gateway), service discovery, centralized logging (CloudWatch), and distributed tracing. Used Strangler Fig pattern for gradual, safe migration with backward compatibility.
Impact
Zero-downtime migration completed • Deployments reduced from 2–3 hours to ~15 minutes • 90% faster incident isolation and resolution • Independent service scaling and team velocity
Why It Matters
Unlocked independent team velocity and system reliability. Each service can now be deployed, scaled, and fixed in isolation, enabling 10x faster feature delivery and reducing blast radius of failures.
Problem
Manual deployments caused ~30% failure rate, required multi-hour maintenance windows, and rollbacks took hours of manual intervention. Releases were gated by ops availability, and configuration drift between environments led to 'works on my machine' production issues.
Solution
Designed and implemented automated CI/CD pipelines using GitHub Actions, Docker, and Kubernetes. Configured build stages (lint, test, build), artifact publishing to container registries (ECR), and deployment workflows with blue-green and canary strategies. Added automated rollback triggers on health check failures, environment parity via infrastructure-as-code patterns, and monitoring integration (CloudWatch, Slack alerts) for pipeline visibility.
Impact
95%+ deployment success rate • ~10-minute end-to-end deployments • Instant rollback capability • No manual maintenance windows
Why It Matters
Reduces human error and enables rapid iteration. Automated pipelines and instant rollback are critical for competitive product development and reliable production operations.
Problem
Legacy batch processing ran overnight, produced stale analytics, and frequently failed silently. The system could not handle real-time event streams or meet SLA requirements for dashboards and reporting. Data quality and delivery reliability were inconsistent.
Solution
Built a streaming data pipeline using Apache Kafka for event ingestion, Python processors for transformation, and time-series databases (InfluxDB/PostgreSQL TimescaleDB) for storage. Implemented fault tolerance with dead-letter queues, at-least-once delivery guarantees, consumer group scaling, and comprehensive monitoring (CloudWatch, Prometheus). Designed schema evolution and backfill strategies for historical data.
Impact
5TB+ daily processing volume • Real-time event streams with sub-minute latency • 99.9% delivery success rate • Real-time analytics and dashboards
Why It Matters
Enables real-time data processing for proactive decision-making, better customer experiences, and reliable analytics that stakeholders can trust.
Tools and technologies I use to solve problems
Frontend Systems
95%
Frontend Systems
90%
Frontend Systems
92%
Frontend Systems
88%
Backend & Architecture
90%
Backend & Architecture
85%
Backend & Architecture
88%
Backend & Architecture
87%
Backend & Architecture
82%
Backend & Architecture
85%
Backend & Architecture
92%
Backend & Architecture
80%
Cloud & DevOps
82%
Cloud & DevOps
85%
Cloud & DevOps
75%
Cloud & DevOps
80%
Cloud & DevOps
78%
Cloud & DevOps
70%
Databases & Storage
88%
Databases & Storage
85%
Databases & Storage
90%
Databases & Storage
85%
Databases & Storage
83%
Databases & Storage
80%
Quality & Reliability
88%
Quality & Reliability
75%
Quality & Reliability
85%
Quality & Reliability
80%
Engineering philosophy
I treat every system like I'll maintain it for years. That means comprehensive documentation, thoughtful abstractions, and patterns that scale with team growth.
Performance isn't an afterthought. Database queries are optimized, APIs are cached appropriately, and frontend code is lazy-loaded from day one.
Unit tests for logic. Integration tests for flows. E2E tests for critical paths. Monitoring for everything else. This prevents regressions and enables confident deployments.
Code is read more than written. I write code for the next developer, document decisions, and consider technical debt before it becomes a problem.
Technical decisions are business decisions. I evaluate trade-offs through the lens of business impact, not just technical elegance.
Open to new opportunities
Full-Stack Developer with 3+ years building scalable MERN applications. Delivered 10+ production systems across healthcare, ERP and SaaS. Expert in React, Node.js, TypeScript, AWS, CI/CD automation, and performance optimization.