Vagish Dilawari

Backend Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI-powered sizing recommendation system.
Created comprehensive data pipelines for analytics.
Built scalable backend services for diverse applications.

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in E-commerce and SaaS industries.

Contact

vagish@heyalle.com LinkedIn

Skills

Core Skills

Python (programming Language)Amazon RedshiftNode.jsAmazon Web Services (aws)JavaGo (programming Language)React.js

Other Skills

API GatewaysAWS LambdaAgile DevelopmentAgile EnvironmentAlgorithmsAmazon DynamodbApplication Programming Interfaces (API)Artificial Intelligence (AI)Back-End Web DevelopmentBlockchainBlockchain ArchitectureC++Cascading Style Sheets (CSS)CommunicationComputer Science

About

Interested in working in startups as a Software Developer. Worked on Nodejs, Typescript, Python, Go, AWS, GCP.

Experience

4 yrs 11 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr

Current Experience

Alle

Backend Engineer

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · On-site

Integrated third-party warehouse management services as part of the Alle Marketplace project.
Built AI-powered sizing recommendation system that analyzes reference URLs to suggest optimal product fit for users.
Expanded marketplace supply by developing web scrapers for brand websites and Instagram pages to extract product and brand data.
Designed data pipeline pushing order and cart metrics to Redshift, enabling ML-driven insights and personalized user feed optimization.

Python (Programming Language)FlaskGo (Programming Language)GORMAmazon RedshiftGoogle Cloud Platform (GCP)+3

Fibr ai

Software Engineer

Mar 2023 – Jun 2025 · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

Developed the Analytics Service from scratch for capturing events across webpage variants.
Integrated third-party SDKs, including Google Tag Manager and MetaAds, streamlining tracking across platforms.
Developed the backend of the brand details extractor tool on Socket.io.
Setup of deployment pipeline using Terraform, Github Workflows on AWS, and alerts through Slack integrations.
Created data ingestion pipelines for Shopify products, variants, collections, discounts, subscriptions.
Integrated Shopify Webhooks for real time update of inventory, prices and other product details.
Developed end-to-end flow for generating and testing content variations using LLM-based image and text generation.
Integrated Langfuse for prompt versioning and token-usage analytics.

Node.jsTypeScriptAmazon Web Services (AWS)TerraformMongoDBJavaScript+7

Amazon

Software Engineer

Nov 2022 – Mar 2023 · 4 mos

As part of the Selling Partner Services team, contributed to the Human In The Loop project responsible for developing a multi-stage compliance validation system to prevent prohibited items from being listed, routing complex cases through subject matter experts.

JavaAmazon Web Services (AWS)

Fareye

Software Engineer

Jul 2021 – Nov 2022 · 1 yr 4 mos

Developed the Rate Calculation Service for logistics pricing, to calculate transportation cost of the shipment based on factors such as carrier, origin & destination, dimensions & weight of the shipment and additional charges such as fragile material & cold storage.

Go (Programming Language)gRPCGORMAmazon Web Services (AWS)PostgreSQLJava+3