Anshul Dharmadhikari

Engineered core game mechanics and backend architecture for 6+ high-concurrency slot machine games using Node.js, NestJS, and TypeScript, adhering to Domain-Driven Design principles. Architected the Tornado Backoffice B2B casino management dashboard from scratch, enabling real-time tracking of GGR, active players, and betting sessions.

Architected a full-stack AI SaaS platform enabling natural language-to-SQL conversion using React, TypeScript, and an Express.js/PostgreSQL backend, serving queries with 95%+ accuracy across multiple LLMs. Engineered secure backend APIs implementing AES-256-GCM database encryption and role-based access control.

Engineered an AI-driven natural language-to-SQL reporting interface, empowering non-technical managers to self-serve operational queries and reducing report generation turnaround time by 90%. Built a Go-based TUI automation tool to spin up local development environments via Docker, automating provisioning and schema migration of PostgreSQL, Redis, and RabbitMQ services.

Led end-to-end payment provider integrations, executing API architectures for Stripe, Nuvei, and TransferWise. Architected event-driven microservices using Apache Kafka, defining reliable event schemas, producer/consumer message pipelines, and distributed event-handling workflows.

Architected multi-provider payment infrastructure with automated transaction failover mechanisms for global payroll. Designed contract-first APIs and domain ERDs aligned with DDD principles to govern worker onboarding systems.

Engineered scalable cloud streaming pipelines for a digital media enterprise using AWS MediaConvert. Built an end-to-end synchronized Watch Party feature from scratch, integrating responsive live React.js video players with low-latency WebSockets chat infrastructure for concurrent audiences.

Engineered media processing microservices using Node.js, FFmpeg, and WebRTC to support real-time enterprise video interview infrastructure and automated background media encoding. Designed asynchronous compute-intensive job execution queues using RabbitMQ and Docker containers.

Engineered secure, real-time backend services for a clinical healthcare messaging platform using Meteor.js, Node.js, and MongoDB, deployed via Docker and AWS EC2.

Developed high-volume social media data analysis pipelines on the MEAN stack for Twitter sentiment analysis; led hybrid mobile app development using AngularJS and Ionic.

Engineered responsive frontend interfaces and optimized checkout funnels for an e-commerce platform using AngularJS, JavaScript, and Bootstrap.