Mahendra Choudhary

Backend Engineer

India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in backend development with cloud integration.
Proven track record in payment gateway architecture.
Strong problem-solving and leadership skills.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and Fintech solutions with cloud architecture expertise.

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Skills

Core Skills

DjangoPayment GatewaysCloud ComputingBackend DevelopmentSoftware Development

Other Skills

AWSAWS KendraAWS LambdaAWS Step FunctionsAmazon EC2Amazon S3Amazon Web Services (AWS)AutomationAzureAzure Data LakeAzure DatabricksC (Programming Language)C++CUDACashFree Integration

About

Incessantly stuck between "Carpe diem" and "La Dolce Far Niente", I am a self-correcting problem-solving human loop who thrives on solving problems and continuously acquiring new skills to get the job done. During my time as a backend engineer at Deloitte USI, I worked on various projects, showcasing my problem-solving and leadership abilities. I worked in various roles during my time here - a team member, a solo engineer, a team lead! Currently, I am contributing to the development of DelightChat as a Senior Backend Engineer, where I build all Gen AI integrations (Agents, workflows, RAGs), and core backend infrastructure (security, scalability, monitoring etc). I have a bias for action and in cases of conflict - I try to be the one focusing on and working towards the solution, rather than unfruitfully obsessing about the problem.

Experience

Delightchat

Senior Backend Engineer

Apr 2024 – Present · 1 yr 11 mos · United States · Remote

Everything Applied GenAI - Architecture, RAGs, agents, text transformation
Everything Payment Gateways - Architecture, Payment links, Webhooks - Razorpay, Cashfree
Core architecture - custom job scheduler | comprehensive monitoring system | Automations triggered by Shopify events | App security

Django REST FrameworkPayment GatewaysDjangopostgresNginxWhatsapp API+6

Deloitte

Backend Engineer

Jun 2022 – May 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India

Developed a headless document classification and extraction software using AWS, GCP, and Azure.
Created a data archival pipeline to migrate and archive over 100 TB of files to Azure Data Lake.
Automated decision model testing using open source rule engine - Drools, enhancing efficiency by 99.76%.
Built a GUI application for filtering, processing, and comparing healthcare data, cutting operation time by 98.96%

Spring BootAmazon EC2GCP Document AIRequirements AnalysisDjango REST FrameworkAzure Databricks+23