Oct 2023 – Sep 2024 · 11 mos

• Designed and scaled a platform service for ingestion, processing and delivery of events from both client and server side apps including business-critical-kpi-metrics, app-performance-metrics, device-details and user-clicks , thereby enabling comprehensive user-behaviour-tracking, powering marketing-campaigns and driving business-decisions (gRPC/Http2, Golang, Kafka, AWS, Clickhouse, MongoDB)
• Delivered NiyoX as a multi-tenant mass-banking application.
• Involved design and deployment of bff + core services for user onboarding, products onboarding/discovery, app-notifications, campaigns and user migrations. (Go-Gin, Golang, NestJs, Kafka, AWS)

Jun 2022 – Oct 2023 · 1 yr 4 mos

• Integrated UPI into Niyo Global using services from ICICI PSP, ensuring full compliance with NPCI regulations.
• Developed an EPF Module (Govt. Employee Provident Fund) that allows to users to track their EPF contributions easily.
• Developed User Quality Module which assess and detect fraudulent clients from existing reports from platforms like gmail, linkedin, etc. This is used as a platform service to filter customers across multiple internal verticals.

Aug 2021 – Jun 2022 · 10 mos

• Developed and maintained standalone Payments Processing System for recurring (auto-pay) and non-recurring payments using razorpay, catering multiple tenants and products across various teams. (go, AWS)
• Developed PWA for Onboarding Non-CKYC customers. PWA included interacting with native app to upload documents, user liveliness check and government verification. (react, react-query, aws)

Jun 2021 – Aug 2021 · 2 mos · Remote

Aug 2019 – Sep 2019 · 1 mo

• Developed an application for Google Assistant.
• Received $2400 GCP credit and a Home Smart Speaker from Google.

May 2019 – Jul 2019 · 2 mos · Jalandhar

• Training outcomes:
• 1. Research Design – Exploratory, Descriptive And Casual
• 2. Data testing and Sampling technique
• 3. Inferential Statistics
• 4. Analysis techniques –
• a) Linear Regression
• b) Multiple Regression
• c) Exploratory factor analysis
• d) Cluster Analysis- (Hierarchical Clustering)
• e) Discriminant Analysis
• f) Chi Square
• g) Conjoint Analysis

Jan 2019 – Sep 2019 · 8 mos