Hi, I'm Ananya Gulati
I build
An AI-first Principal Software Engineer with 6+ years of expertise. Actively leveraging AI agents for accelerated development, bug fixes, data analysis, custom scripting, and performance optimization across scalable backend systems.
Ananya Gulati
Backend Architect & Dev
Backend Specialist. Lead Developer.
Over the last 6 years, my focus has been on building highly configurable, scalable backend architectures and designing microservices that handle complex enterprise workflows. Currently, as a **Principal Software Engineer at GEP Worldwide**, I lead core engineering sprints, optimize distributed data engines, and design tools that enable zero-code configurations for supply chain enterprise customers.
As an AI-first software engineer, I actively leverage AI agents across feature development, bug fixes, data analysis, custom scripting, and performance optimizations, enhancing engineering productivity and speed-to-market.
I enjoy diving deep into SQL/NoSQL performance tuning, crafting notification engines, and designing reusable plugins. Whether migrating millions of records seamlessly in Databricks or decoupling legacy systems into crisp microservices, my focus remains on performance, clean code patterns, and developer productivity.
Configurability
Reduced development time by 30% through dynamic http-call configuration engines.
Migration Expert
Led clean migration of ~3M MongoDB records using custom Python engines in Databricks.
Clean Architectures
Designed object validation frameworks, BPMNs, and microservices for low-code platform apps.
My Career Journey
Principal Software Engineer
GEP Worldwide
Leading high-level system architectures, platform roadmaps, and technical steering for GEP's low-code suite.
- Lead technical schema creation and overall execution design for complex, configurable enterprise application modules, improving framework reusability and platform capabilities.
- Integrate agentic AI developer workflows into daily sprint workflows, boosting debugging iterations and custom scripting velocity by **35%**.
- Design and deploy a unified local development environment integrating multiple distributed code repositories, custom build configurations, and complex feature settings, accelerating feature delivery and code analysis speed by more than **50%**.
Senior Software Engineer
GEP Worldwide
Delivered high-impact client features, optimized high-throughput systems, and integrated AI capabilities to drive performance and efficiency.
- Architected and scaled **5+ core microservices** handling client transactions, driving end-to-end development, API definitions, and legacy system refactoring.
- Improved inbound request processing speed by more than **10x** through staging logic optimizations and adoption of bulk processing design patterns.
- Developed an Azure Databricks native ETL solution processing up to **150M+ raw time-series data points** from CSV files into MongoDB, incorporating custom schema validation and high-throughput transformations to facilitate downstream analytics.
- Orchestrated a large-scale data migration of **3M+ records** in MongoDB using Python on Databricks, reducing onboarding latency while maintaining **100% data integrity**.
- Coordinated cross-functional teams to diagnose and resolve **30+ critical and blocker production support incidents**, systematically optimizing performance bottlenecks with minimal business disruption.
Software Engineer
GEP Worldwide
Collaborated across product teams to build core modules for GEP's SaaS products.
- Engineered dynamic database-driven HTTP execution services, reducing development turnaround time by **30%** and boosting core application configurability by **20%**.
- Designed modular object validation engines, cross-app notification frameworks, and reusable workflow plugins, saving developers **15+ hours weekly** in boilerplate code setup.
- Built core BPMNs, cross-app REST interfaces, and custom plugins for inventory management workflows.
- Implemented responsive UI dashboards and integrated React Native mobile clients with barcode scanning engines.
Research Intern (Immersion Program)
Illinois Institute of Technology (Chicago, USA)
Conducted genetic data analytics under academic supervision.
- Analyzed and cleaned gigabytes of tabular genetic databases utilizing Pandas and NumPy.
- Designed statistical scoring and filtering models to select candidate chemical compounds for Alzheimer's therapeutic testing.
Technical Skills
Languages
Backend & Core
Data & Tools
Frontend & Mobile
Projects & Contributions
Time Series Forecasting App
Built for GEP. Facilitates item movement forecasting between buyers and suppliers. Designed various core components of a configurable forecasting engine to handle large volumes of time series data.
Quality Management Solution
A low-code platform app enabling supplier and item-level evaluations. Handles complex form validations and dynamic logic triggers for verifying supply quality.
Inventory Management App
A mobile client integrated with Zebra barcode scanner hardware. Features dynamic data-driven UI tables for stock status checking and inventory adjustments.
Express Mongoose User API
An open-source reference API containing fully integrated secure registration, login, and schema configuration setups. Available on GitHub.
Let's Discuss Your Project
Contact Information
Feel free to reach out via the contact form, email, or drop me a connection request on LinkedIn. I am always happy to discuss backend systems, microservices design, or software architectures.