Bharat Jangir

About Bharat Jangir

I am a Senior Software Engineer with over 11 years of experience specialising in the architecture of scalable distributed systems and AI-driven platforms. My career has been defined by a passion for transforming complex legacy infrastructures into high-performance, intelligent ecosystems that drive measurable business growth.Currently, at Intuit, I lead the backend architecture for AI-powered financial agents, bridging the gap between Java-based micro services and Python LLM agents to evolve products from simple reporting tools into proactive strategic advisors.Key Impact Highlights- AI & Engagement: Drove a 30% increase in personalised user engagement by designing scalable data pipelines for adaptive AI models- Operational Velocity: Revolutionised financial tracking by reducing manual review cycles from 18 hours to near real-time insights- Massive Scale: Directed teams to build linking systems processing over 20 million orders and optimized reporting that benefits 46% of the Enterprise customer base- System Reliability: Spearheaded critical migrations that reduced daily failure incidents (FCI) by 90%- Full-Stack Architecture: Expert in architecting mission-critical engines from scratch using Java Spring Boot, Python, and Kafka within AWS-native environments.Core Tech: LangGraph, Java, Python, Spring Boot, Kafka, AWS, Kubernetes, and LLM Integration.

Experience

1. Senior Software Engineer

   Intuit

   Apr 2021 — Present · Bengaluru, IN

   Spearheaded the development of an AI-powered Finance Agent using [Insert Tool/Language, e.g, Python/LLMs], transitioning the product from a basic reporting assistant to a strategic financial advisor-Architected and deployed Adaptive AI models for the Finance Agent, enhancing operational accuracy and driving a 30% increase in personalized user engagement and proactive anomaly detection-Led the end-to-end development of the QuickBooks Scenario Planner, enabling enterprise customers to run real-time financial simulations and AI-driven decision-making-Automated CFO financial tracking pipelines, drastically reducing manual review time from approximately 18 hours to near real-time insights, empowering rapid business decisions-Designed and implemented a modern BI analytics platform by introducing logical data models (Measures, Dimensions, Cubes) and replacing a legacy engine with a highly performant DataFrame library-Directed a cross-functional Agile team of 7 engineers to build a highly scalable Sales Order-to-Purchase Order linking system, successfully facilitating the processing of over 20 million linked orders-Optimized data delivery by spearheading Inventory Turnover and Lot Number reporting initiatives, directly benefiting 46% of the Enterprise customer base-Executed a critical microservices migration of QBDT Approvals from a legacy Project service to a new Task Service, reducing daily failure incidents (FCI) by up to 90%.

Education

• National Institute of Technology Calicut

  Master's degree, Computer Science

  2012 — 2014