👋 Hi, my name is Aninda Ghosh

🧑🏻‍💻Work Experience

Jan 2023 - Jul 2024

Solutions Architect

AB InBev
Bengaluru, India

Led enterprise architecture for critical business applications across Finance, Operations, and Employee Experience. Designed secure, scalable Azure solutions serving 7,000+ users across 5 global regions.

Key Achievements

  • Account Reconciliation Platform: Architected system processing 150M+ daily financial records across 6 regions with multi-currency support, reducing API response time from 2 minutes to <1 second with ACID guarantees.
  • Global NPS Platform: Designed and deployed enterprise feedback system achieving 88 NPS score and 70% response rate across all business units with real-time analytics dashboards.
  • Fixed Assets Verification: Led digitization of 700K physical assets across North American zone, delivering $500K in tax savings with 2-week turnaround and automated audit workflows.
  • Security Champion: Reduced vulnerabilities by 73% across 25+ applications serving 7,000+ users through Azure Key Vault adoption, JWT authentication, and CI/CD security tooling (Snyk, SonarCloud, Apiiro).
  • Enterprise Architecture: Established Azure Landing Zone patterns, Terraform IaC standards, and secure API gateway architectures adopted across Digital Solutions organization.

Technologies Used

AzureTerraformPostgreSQLReactFlaskPythonNode.jsAzure DevOpsSAP BAPIsSalesforce Connected Apps
Jul 2021 - Dec 2022

Software Development Engineer I

AB InBev
Bengaluru, India

Built full-stack enterprise applications for workforce management and sales operations. Delivered customer-embedded solutions across Europe and India requiring stakeholder collaboration across 13+ countries.

Key Achievements

  • Hybrid Work Platform: Built end-to-end workspace management PWA serving 5,000 employees with 100% adoption rate, 1,000+ daily bookings, replacing $120K/year vendor. Integrated thermal scanner APIs (Web Serial), government health verification, and transport booking systems.
  • European Sales Automation: Developed customer master data platform for 2,000+ sales reps across 13 countries, reducing turnaround from 3 days to <1 day and improving accuracy from 40% to 95%. Implemented country-specific IBAN/VAT validation, SAP ECC integration, and Salesforce Connected Apps.
  • COVID Tracker: Deployed employee health monitoring system during pandemic, enabling HR team to track vaccination status and provide rapid assistance to 5,000+ employees with automated notifications.
  • Platform Ownership: Maintained 8+ production applications with 99.5%+ uptime, managed Azure infrastructure, and implemented monitoring via Application Insights and Azure Monitor.

Technologies Used

ReactPythonFlaskPostgreSQLAzure App ServiceAzure FunctionsREST APIsSAP Integration
Sep 2024 - Present

Graduate Assistant

New York University
New York, USA

Engineering data platforms and analytics infrastructure for the Office of the Dean. Building React/FastAPI applications serving 8,000+ students and 500+ faculty with course feedback analysis, dashboard consolidation, and institutional research automation.

Key Achievements

  • SeEval Course Feedback Platform: Built with React, D3.js, FastAPI, and AWS (Amplify, EC2, RDS, Redis) serving 8,000+ students. Implemented read-optimized architecture with pre-aggregated target tables and Redis caching achieving <500ms API response times for historical course feedback, sentiment analysis, and comparative visualizations.
  • Tableau Dashboards Directory: Developed React/FastAPI portal consumed by 500+ faculty with automated metadata extraction via Python Lambda functions calling Tableau REST APIs. Consolidated 100+ dashboards with three-layer navigation, reducing manual maintenance by 60%.
  • Enterprise SSO Integration: Implemented Microsoft Entra authentication across both platforms, enabling seamless single sign-on for students and faculty.
  • Performance Optimization: Designed read-optimized database architecture with pre-aggregated target tables, achieving sub-500ms response times for complex analytical queries across large historical datasets.

Technologies Used

ReactFastAPID3.jsAWS (Amplify, EC2, RDS, Lambda)PostgreSQLRedisTableau REST APIMicrosoft Entra IDPython
May 2019 - Jun 2019

Deep Learning Intern

VNaad Technologies
Bengaluru, India

Developed a face recognition system on a single-board computer using live video processing to detect and identify human faces.

Technologies Used

PythonOpenCVRaspberry Pi
Jun 2018 - Jul 2018

Software Developer Intern

Justdial
Bengaluru, India

Built a prototype home assistant using Python, JavaScript, and MQTT on Raspberry Pi. Integrated Justdial search bot backend and developed image classifier with CNNs.

Technologies Used

PythonJavaScriptNode.jsMQTTRaspberry Pi