I’m Prabhat Kumar, a software engineer focused on building AI-powered customer support and LLM applications, especially Retrieval-Augmented Generation (RAG) systems. Over the last few years, I’ve worked on multi-tenant platforms and multi-channel chatbot experiences across WhatsApp, Instagram, Gmail, and web chat, using Python and modern backend frameworks like Django and Django REST Framework. I enjoy designing scalable, reliable backend automation and event-driven architectures with tools like Kafka, Celery, Redis, and PostgreSQL—then deploying them on AWS with Docker, Nginx, and CI/CD pipelines. My goal is to turn complex workflows into production-grade systems that are fast, resilient, and secure, whether it’s a fintech ledger engine or an AI knowledge ingestion and response platform.

Prabhat Kumar

I’m Prabhat Kumar, a software engineer focused on building AI-powered customer support and LLM applications, especially Retrieval-Augmented Generation (RAG) systems. Over the last few years, I’ve worked on multi-tenant platforms and multi-channel chatbot experiences across WhatsApp, Instagram, Gmail, and web chat, using Python and modern backend frameworks like Django and Django REST Framework. I enjoy designing scalable, reliable backend automation and event-driven architectures with tools like Kafka, Celery, Redis, and PostgreSQL—then deploying them on AWS with Docker, Nginx, and CI/CD pipelines. My goal is to turn complex workflows into production-grade systems that are fast, resilient, and secure, whether it’s a fintech ledger engine or an AI knowledge ingestion and response platform.

Available to hire

I’m Prabhat Kumar, a software engineer focused on building AI-powered customer support and LLM applications, especially Retrieval-Augmented Generation (RAG) systems. Over the last few years, I’ve worked on multi-tenant platforms and multi-channel chatbot experiences across WhatsApp, Instagram, Gmail, and web chat, using Python and modern backend frameworks like Django and Django REST Framework.

I enjoy designing scalable, reliable backend automation and event-driven architectures with tools like Kafka, Celery, Redis, and PostgreSQL—then deploying them on AWS with Docker, Nginx, and CI/CD pipelines. My goal is to turn complex workflows into production-grade systems that are fast, resilient, and secure, whether it’s a fintech ledger engine or an AI knowledge ingestion and response platform.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Advanced
Hindi
Advanced

Work Experience

Software Engineer at Rvin.sa
September 1, 2025 - March 1, 2026
Architected an event-driven e-wallet and payment platform using Apache Kafka, designed financial tables (wallets, transactions, ledger, inbox/outbox, audit logs), and implemented a double-entry ledger with ACID guarantees. Built reliable publishing/processing using outbox/inbox patterns to reduce duplicate events. Developed a crash-resilient ledger engine with Celery and Redis, late acknowledgements, exponential backoff retries, and database-level locking for recovery. Delivered REST APIs for wallet operations with JWT auth and RBAC. Engineered real-time Kafka pipelines targeting 100,000 events/sec with sub-second latency and contributed to AWS cloud migration that reduced operational costs and improved uptime. Built Docker-based CI/CD to cut deployment time and developed/maintained payment event services with optimized consumers and query tuning.
Python Developer at HelporaAi
November 1, 2023 - August 31, 2025
Built an AI-powered multi-channel, multi-tenant customer messaging automation system across WhatsApp, Instagram, Gmail, and web chatbots. Implemented a PDF-to-knowledge ingestion pipeline for RAG-style question answering over uploaded documents. Designed tenant isolation for separate AI configurations and datasets. Integrated LLM response generation using ChatGPT and Claude APIs, improving customer query resolution time by ~80%. Also engineered an HLS-based video streaming pipeline with adaptive bitrates, offloading media delivery to Nginx with token-based expiry validation to minimize backend CPU usage, and used Celery for asynchronous backend automation.
Python Developer Intern at AppVersal
August 1, 2023 - October 31, 2023
Developed a backend SDK integration system for interactive engagement elements like banners, coachmarks, PIP videos, and associated analytics tracking. Improved CTR for interactive widgets (stories, surveys, banners) by ~3x through backend optimization. Reduced infrastructure costs by about $300/month via backend process efficiency improvements.

Education

Bachelor of Computer Applications (BCA) at Maharaja Surajmal Institute, IPU University
August 1, 2022 - July 1, 2025
Intermediate (12th) at CBSE Board, New Delhi
January 1, 2021 - September 1, 2026

Qualifications

AWS Academy Graduate
January 11, 2030 - September 1, 2026
Smart India Hackathon 2022 — Finalist
January 1, 2022 - September 1, 2026

Industry Experience

Software & Internet, Financial Services, Education, Professional Services, Media & Entertainment