CAREER TRAJECTORY & SYSTEMS ARCHITECTURE

Work Experience

From 0-to-1 founding engineering at AI startups to enterprise microservices at leading insurers.

Founding Engineer - Backend & AI Systems

Jul 2025 – Present12+ months

Architected the in-app networking engine: real-time user interaction, asset/screen sharing with fine-grained RBAC, built single-handedly from scratch.
Designed and implemented the complete authentication layer: login, signup, OAuth 2.0 flows, and session management for the entire platform.
Built NLP-powered data intelligence pipelines: natural language to database queries, automated data fetch, and AI-driven insight generation.
Engineered the Insights Engine: visualization platform processing millions of rows using Apache Spark and a self-designed streaming harness with batch-failure recovery.
Led cross-functional feature development across teams and mentored junior engineers.

Node.jsPythonApache SparkMongoDBNLPOAuth 2.0RBACLLMs

Jan 2025 – Jun 20256 months

Engineered scalable APIs and backend services across live Spring Boot microservices serving production traffic.
Designed multi-layer wrapper services abstracting complex insurance business logic.
Built scheduled and trigger-based data pipelines fetching from enterprise datalakes.
Developed cron-based automation for backend operational workflows; shipped add-on features to live products.

JavaSpring BootMicroservicesREST APIsDatalakeCron

Oct 2024 – Dec 20243 months

Worked on "Enterprise Custom Domain LLM Models Generation".
Developed user interfaces in React; built backend engines with Node.js + Express.
Integrated and managed LLMs (GPT) and predictive machine learning models.
Performance exceeded expectations - recognized for product improvement ideas.

ReactNode.jsExpressMongoDBGPT/LLMsPython

Hustlebee Software

Jan 2024 – Apr 20244 months

Built responsive React applications and implemented secure RESTful APIs via Node.js and Express.
Optimized MySQL and MongoDB query performance for production workloads.

ReactNode.jsExpressMySQLMongoDB

Core distributed systems patterns and engineering philosophies implemented across production codebases.

Low-latency multi-user coordination engine featuring screen/asset sharing and fine-grained RBAC.

Text-to-SQL / Database abstraction converting natural queries into structured data insights.

Harness capable of processing millions of rows with batch-failure recovery and real-time visualization.

Full-stack authentication with OAuth 2.0 providers, JWT claims, and enterprise security policies.

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