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AI Product & Engineering
I build governed AI product systems that connect LLMs, deterministic tools, and human approvals. https://apnatva.dev https://brownsmithdynamics.com
IndiaAI Product & Engineering at Brownsmith Dynamics
Design and prototype AI-native operational systems combining agent orchestration, MCP-enabled tools, shared business context and human approvals for traceable business workflows. Built deterministic application layers around AI using Next.js, TypeScript, Python, PostgreSQL and REST APIs, including local-first tools, chat-based workspaces and self-hostable automation concepts.
Agent orchestrationMCPNext.jsTypeScriptPythonPostgreSQL
Used behavioural and campaign data to analyse product adoption, customer journeys and retention, strengthening the product reasoning behind AI-enabled experiences. Converted analytics into structured recommendations and competitor insights, connecting user behaviour with product communication and workflow design.
Data AnalysisCustomer Journey MappingProduct AdoptionAnalyticsRecommendations
Maintained a distributed production platform with 16 Dockerised Go/Java microservices, Kubernetes, Kafka and Azure under a 99.9% availability requirement. Owned backend delivery in a multi-country feature team and coordinated frontend, QA, DevOps, manual testing, internal server changes and product management.
DockerGoJavaKubernetesKafkaAzureMicroservicesBackendDevOpsProduct Management
Owned a reusable multilingual data pipeline from scraping and cleaning through testing and SQL storage using Python and Selenium. Reduced manual intervention by ~95% and completed end-to-end execution in ~2 minutes for downstream sentiment analysis.
PythonSeleniumData PipelinesSQLScrapingTesting
Bachelor of Engineering in Computer Engineering with First Class Honours (1:1).