Ekta Goel

Software Engineer

India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Contributed to PayZapp, serving over 20M users.
Streamlined ML deployment workflows at Intel.
Developed a data collection app reducing entry time by 20%.

Stackforce AI infers this person is a Fintech and AI/ML engineer with strong backend and data engineering skills.

Contact

Skills

Core Skills

Backend SystemsAndroid DevelopmentData EngineeringMlops

Other Skills

FlutterKotlinStreamlitMicrosoft Power AppsGitKaggleAnthropic ClaudeClaude Code SubagentsClaude SkillsJavaAndroid JetpackHiltAPI DevelopmentHelm (Software)Kubernetes

About

I’m an engineer working across Android development, backend systems, Data Engineering, and MLOps, focused on building reliable, production-ready applications. At Zeta, I work closely with HDFC Bank on PayZapp, a large-scale fintech app used by 20M+ customers. I’ve contributed to improving critical user journeys, handling API failure scenarios, and building network-aware security features like Wi-Fi risk checks to strengthen fraud prevention and ensure safer transactions. During my time at Intel, I worked on CI/CD templates, data pipelines, and automated data quality checks to streamline ML deployment workflows. Stack: Java · Kotlin · Python · Spring Boot · Vue.js · Flutter · Azure Data Factory · Databricks · Snowflake · LangChain · MLflow · Docker · PostgreSQL · MongoDB Open to Software Engineer / ML Engineer / Data Engineer roles in fintech, AI/ML, or high-growth tech - on-site, hybrid, or remote across India. If you have a project I can help with, please get in touch. Would Love to Contribute. Mail - ektagoel12july@gmail.com

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Zeta

Software Engineer

Aug 2025 – Present · 10 mos · Bengaluru · On-site

Contributed to the development of PayZapp at Zeta, building secure, scalable login, signup, and transaction flows for a high-traffic fintech platform serving millions of users.
Designed and implemented network-aware security features, including Wi-Fi/mobile data risk checks, and developed reusable UI components such as bottom sheets to improve user experience, consistency, and fraud prevention.
Partnered closely with backend and product teams to diagnose API failures, strengthen error handling, and improve the reliability, resilience, and performance of critical production workflows.

FlutterKotlinBackend SystemsAndroid Development

Intel corporation

Data Engineering & MLOps Intern

Jul 2024 – May 2025 · 10 mos · Bengaluru · Hybrid

Developed reusable CI/CD templates and automation tools to streamline and standardize ML model deployment workflows.
Built secure and scalable data ingestion pipelines from multiple sources, along with automated data quality validation solutions to reduce manual effort.
Designed intelligent data extraction pipelines and workflow portals to optimize approval processes and improve overall operational efficiency

StreamlitMicrosoft Power AppsData EngineeringMLOps

Revamp electric

Python Developer

Jul 2023 – Aug 2023 · 1 mo · Remote

Developed a Python-based GUI application using PyQt5 and Qt Designer for bike ride data collection and analysis, incorporating features like record management, data storage, and Excel integration, resulting in a 20% reduction in data entry time.
Authored comprehensive documentation for the Virtual CAN Protocol, improving understanding and ease of implementation for users and developers

GitKaggle