---
title: "Divyansh Rastogi - Product Engineer (SDE 2) in Bengaluru | Tal"
description: "Meet Divyansh Rastogi, Product Engineer | Python · Node.js · FastAPI | AWS · Kubernetes · Kafka | Distributed Systems & Microservices | Building LLM Agents based in Bengaluru. AI stack includes claude code."
image: "https://tal.club/meet/divyansh-rastogi/share-image"
---

# Divyansh Rastogi on Tal

## Headline

Product Engineer \| Python · Node\.js · FastAPI \| AWS · Kubernetes · Kafka \| Distributed Systems & Microservices \| Building LLM Agents

## About

I build backend systems that hold up in production APIs, event\-driven pipelines, and the infrastructure underneath them\. Over 2\+ years as a software engineer, I've owned backend services end to end: requirements, system design, implementation, deployment, and production monitoring\. At Escorts Kubota, I built the backend for an agri\-IoT platform: REST APIs in Express, device data ingestion through AWS IoT Core, a real\-time alerting system on parallel Lambda functions, and production infrastructure across EC2, ECS, S3, CloudWatch and AKS\. I cut database calls 10x through PostgreSQL optimization, led sprint planning, and mentored 3 interns\. At Dar, I build compute\-heavy pipelines: a GPU\-accelerated optimization engine over 1\.4M\+ records with an interactive WebGL dashboard, and an ML audio\-processing pipeline deployed on edge hardware\. On the AI side, I build LLM agents from first principles tool calling, session memory, and deterministic action layers like a Telegram\-based expense\-management agent running on local models\. Tech: Python, Node\.js, C\+\+ · FastAPI, Django, Express, React, Next\.js · PostgreSQL, MongoDB · AWS, Azure, Docker, Kubernetes, Kafka, Nginx · LLMs, RAG, Agentic AI Open to Backend / AI Engineer \(SDE\-2\) roles at product companies\. Available to join in 30 days\. 📩 rastogi11204@gmail\.com

## Location

Bengaluru

## AI stack

claude code

## Work experience

Product Engineer \(SDE 2\) at Dar, May 2026 \- Present · 6 mos, Banglore, \- Engineered a GPU\-accelerated multi\-objective optimization engine \(NSGA\-III\) solving constrained allocation across 1\.42M records, with an interactive WebGL dashboard for result exploration\. \- Built an end\-to\-end audio\-processing pipeline \(ingestion → detection → classification\) using a two\-stage architecture on YAMNet embeddings, deployed to edge devices \(NVIDIA Jetson\)\.

Assistant Manager \(SDE\) at Escorts Kubota Limited, Jul 2025 \- May 2026 · 11 mos, On\-site, 1\. Designed backend architecture connecting AWS Services, Open\-Source Tools, to facilitate asset tracking \(tractor, construction equipment, agriculture machinery\)\. 2\. Designed and Implemented backend system \(NodeJS/ Python , AWS \) for smooth functioning of disease prediction model in Chili crop as advised by agronomists\.

Post Graduate Engineering Trainee \(SDE\) at Escorts Kubota Limited, Jul 2024 \- Jul 2025 · 1 yr 1 mo, On\-site, 1\. Built farm data collection and analysis tool for on\-ground team to ease the process of collecting biophysical data of plants that was earlier recorded on Excel sheets inefficiently\. Created backend APIs using NodeJS and deployed the backend on AWS EC2 machine\. Used NextJS for UI and AWS Amplify as a hosting service\. 2\. Enabled SSL encryption using nginx and created reverse proxy to restrict direct communication between client and server increasing the security of server\. 3\. Successfully conducted VAPT exercise to eliminate security vulnerabilities\. 4\. I led end\-to\-end development of IoT analytics platform: Designed AWS IoT Core pipeline ingesting real\-time sensor data from 100\+ remote farms\. Built analytics dashboard enabling real\-time crop health monitoring\. Result: Reduced farm monitoring response time from hours to seconds\. 5\. Fixed a critical bug in the notification service that was causing missed alerts within a one\-day period, ensuring timely and accurate notifications\.

Fixed Term Trainee\(SDE Intern\) at Escorts Kubota Limited, May 2023 \- Jul 2024 · 1 yr 3 mos, Hybrid, 1\. Built backend for Farm Management App that shows data from the IoT Devices deployed at Individual's farm land\. 2\. Implemented algorithm as given by agronomists on the collected data to give precise insights to farm owners\. 3\. Integrated crop health parameters \(NDVI/NDMI\) and satellite imagery on the leaflet map to analyse farm health based on the remote sensing inputs\.

## Education

Computer Science and Engineering\(Dual Degree\), National Institute of Technology Hamirpur

Intermediate, PCM, dav public school

[View the original profile](https://tal.club/meet/divyansh-rastogi)

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