Ankita Datta

Software Development Engineer (SDE-3) specializing in Distributed Systems, Software Architecture, System Design, and Cloud-Native Engineering. Proven track record of architecting high-throughput streaming platforms processing up to 10M events per minute. Highly specialized in building AI-enabled backend platforms including Agentic AI workflows, LLM-powered decisioning systems, and RAG architectures integrated with Spring Boot microservices

Software Development Engineer III at Licious (2025-08 – Present)

• Architected and led the development of a Delivery Location Intelligence Platform, processing 70K+ GPS events per minute to accurately determine delivery completion and rider proximity in real time through event-driven workflows.
• Developed intelligent decisioning algorithms combining distance reduction patterns, geofencing, and threshold-based validations to handle GPS inaccuracies, reducing false delivery completion events by 30%.
• Reduced Mark Delivered Not Delivered (MDND) incidents from 15% to 6%, improving customer experience, delivery accuracy, and operational efficiency across the logistics network.
• Built an AI-enabled exception management framework using Agentic AI workflows and tool orchestration, enabling automated analysis of delivery exceptions and intelligent operational decision support through integration with internal microservices.
• Designed and optimized Backend-for-Frontend (BFF) APIs for delivery applications, improving API efficiency, reducing client-side complexity, and enabling faster feature delivery.
• Established observability and operational excellence practices through monitoring, alerting, production dashboards, and incident management processes, improving system reliability and reducing troubleshooting effort
• Partnered with Product, Operations, and Engineering stakeholders to define requirements, evaluate architectural trade-offs, and deliver business-critical logistics initiatives at scale.
• Mentored engineers on distributed systems, event-driven architecture, and backend engineering best practices through design reviews, technical discussions, and code reviews.

Senior Software Engineer at Netradyne Technologies (2022-08 – 2025-08)

• Architected and delivered a large-scale real-time streaming platform processing 10M+ telemetry and video metadata events per minute, enabling live fleet monitoring, analytics, and operational insights for connected vehicle ecosystems.
• Led the design of distributed ingestion services handling telemetry streams from 10K+ edge devices, ensuring reliable data capture, backpressure management, and resilient message processing under peak traffic conditions.
• Drove performance optimization initiatives across critical APIs and backend services, reducing P95 latency from 500ms to 300ms and improving overall platform responsiveness by 40%.
• Improved platform observability through centralized logging, monitoring, distributed tracing, and operational dashboards, reducing MTTR by 25% and accelerating production issue diagnosis.
• Owned production operations for critical services, including deployment strategy, incident response, root cause analysis, capacity planning, and reliability improvements.

Full Stack Developer at Boeing (2021-06 – 2022-08)

• Developed real-time flight operations applications supporting 5K+ daily flights across 200+ airports, enabling live flight tracking, monitoring, and operational decision-making.
• Built scalable backend components for flight status updates, search, filtering, and data processing workflows, improving system responsiveness and user productivity.
• Leveraged Adobe Analytics to capture and analyze 1M+ monthly user interaction events, enabling data-driven product enhancements and performance optimization.
• Increased automated test coverage to 80%+ through unit, integration, and regression testing, improving software quality and deployment confidence.

Full Stack Developer at Neokred Technologies (2020-11 – 2021-06)

• Designed and developed fintech microservices supporting 10K+ monthly prepaid card transactions through integration with third-party banking and payment platforms.
• Improved API performance by 35% for datasets exceeding 100K transaction records through query optimization, pagination, indexing strategies, and database tuning.
• Reduced backend latency by 25% through service refactoring, code optimization, and performance improvements across critical business workflows.
• Developed automated scheduling and notification systems delivering 50K+ monthly communications, improving customer engagement and operational efficiency.

Software Engineer at IBM India (2018-07 – 2020-11)

• Developed Spring Boot and Flask APIs for enterprise clients including ADP and Humana supporting global users.
• Integrated IBM Watson AI services enabling intelligent enterprise workflows.
• Implemented Docker-based deployments and backend services managing millions of enterprise records across SQL and NoSQL systems.

B.Tech in Computer Science – NIT Agartala (2014-06 – 2018-05)