AI Builder, Architect & Engineering Manager
Builder, Architect, and Engineering Manager with over 14 years of experience delivering enterprise-scale systems. I work the whole stack of a build: strategy, architecture, and the code itself. Specialized in AI-integrated SDLC workflows and migrating legacy monoliths to resilient, event-driven architectures. Led cross-functional teams of up to 15 engineers, optimizing engineering velocity through agentic workflows while balancing architectural needs with agile business objectives.
- Engineering Leadership: Team Management, Mentorship, Solution Architecture, Stakeholder Management, Agile/Kanban.
- System Architecture: Microservices Decomposition, Event-Driven Architecture, API Design, Scalable System Design.
- Backend & Cloud: Node.js (8+ years), AWS (Lambda, SQS, SNS, EC2), Python, PHP, Micro Frontends (MFE).
- Data & Performance: MongoDB, MySQL, Elasticsearch, Redis, Database Optimization.
- AI Innovations & Research: Actively designing and testing AI-agentic workflows to reimagine the SDLC, focusing on autonomous code reviews and intelligent architectural optimization.
- LLM-Driven Development: Developing frameworks for leveraging LLM tools to improve code quality, reduce churn, and speed up development cycles.
Engineering Manager (Senior Staff Engineer)
@ Cambium Networks · 04/2022 – PresentOperates as a complete end-to-end builder: Engineering Leadership, Strategic Architecture, and Frontend Strategy. Owns feature delivery from requirement to release.
- Engineering Leadership: Orchestrate end-to-end feature delivery by aligning cross-functional teams (Device, UX, QA, and Development) with long-term milestones and predictable execution plans.
- Operational Excellence: Manage a team of 8+ engineers, maintaining a consistent 95% sprint completion rate through rigorous Agile planning and execution discipline.
- Strategic Architecture: Spearheaded the transformation of the cnMaestro platform from a monolith to an event-driven microservices ecosystem using Node.js and AWS (SQS, Lambda).
- Frontend Strategy: Standardized Micro Frontend (MFE) architecture, accelerating deployment cycles and reducing cross-team dependencies across UI units.
- Performance Optimization: Enhanced real-time data refresh latency by implementing WebSocket-based communication, reducing total API load and improving user experience.
- Stakeholder Management: Facilitated executive-level visibility into project risks and trade-offs, ensuring high-quality, predictable delivery and accountability.
Lead Engineer
@ QBurst Technologies · 06/2014 – 04/2022Directed a 10+ member multidisciplinary team delivering a complex IoT and E-Learning ecosystem, ensuring high performance and cross-platform reliability.
- Product Delivery: Directed a 10+ member multidisciplinary team to deliver a complex IoT and E-Learning ecosystem, ensuring high performance and cross-platform reliability.
- Integration Efficiency: Accelerated time-to-market by standardizing API contracts and documentation, reducing system integration timeframes.
- Scalable Data: Optimized data infrastructure to process 1TB+ of daily data using a high-performance aggregation system built on Node.js and hapi.
- Search Performance: Designed an Elasticsearch-based engine achieving sub-second query response times across millions of records.
- Automation: Automated manual operations, reducing data entry time by 90% through custom Selenium and Node.js processing tools.
- Cost Optimization: Reduced cloud infrastructure costs by 40% through strategic AWS resource management and architectural redesign.
Software Engineer
@ Assyst International · 10/2012 – 06/2014Delivered enterprise ERP solutions for the agricultural sector, focusing on plantation management and operational reporting.
- Boosted user engagement designing responsive, cross-browser compatible UI components.
- Built real-time operational dashboards using JavaScript and nvd3.js, providing stakeholders critical data visualization.
- Optimized data manipulation and reporting efficiency by implementing specialized processing modules with Underscore.js.
- Scalability: Orchestrated the migration of legacy systems to AWS-based microservices, ensuring 99.9% availability for downstream applications.
- Big Data: Designed and optimized MongoDB schemas and aggregation pipelines to manage 100M+ documents efficiently.
- Process Improvement: Consistently hit high delivery benchmarks, maintaining a 95% sprint success rate across multiple organizations.
- Multi-Team Orchestration: Led complex release delivery plans involving coordination across multiple cross-functional teams, ensuring alignment through proactive stakeholder communication.
- B.Tech, Electrical & Electronics Engineering, Vidya Academy of Science and Technology (2007–2011).
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