---
title: "Nitesh Rathee - Technical Lead in Bengaluru | Tal"
description: "Meet Nitesh Rathee, Technical Lead | Python Backend Engineer | AI & Cloud | System Design | AWS | Microservices based in Bengaluru. AI stack includes anthropic apis, claude, and cursor."
image: "https://tal.club/meet/nitesh-rathee/share-image"
---

# Nitesh Rathee on Tal

## Headline

Technical Lead \| Python Backend Engineer \| AI & Cloud \| System Design \| AWS \| Microservices

## About

I build backend systems, cloud\-native applications, and AI\-powered products that solve real business problems\. Over 6\+ years in software engineering, I’ve grown from a Python developer into a Technical Lead, working across backend engineering, system design, cloud infrastructure, AI/NLP, and technical leadership\. My core strength is turning complex requirements into scalable, reliable, and maintainable solutions\. I work primarily with Python and backend frameworks such as Django, Flask, and FastAPI, with hands\-on experience designing REST APIs, distributed systems, microservices, event\-driven workflows, and data\-intensive applications\. On the cloud and infrastructure side, I’ve worked extensively with AWS, Terraform, Docker, CI/CD, Lambda, SQS, RabbitMQ, and Redis\. I enjoy going beyond application development—designing the infrastructure, deployment workflows, and architecture needed to run systems reliably at scale\. I’ve also worked on AI\-driven products, including natural\-language chatbots, NLP applications, and systems that translate natural\-language queries into SQL to provide actionable business insights\. As a technical leader, I’ve led teams, owned technical roadmaps, driven architecture decisions, conducted code reviews, and mentored engineers\. At Lyxel & Flamingo, I led a team of 18 engineers building a SaaS analytics platform for global brands, including reporting systems that saved 30\+ analyst hours per day\. Some of the problems I enjoy solving: → Designing scalable backend architectures → Building high\-performance Python APIs and services → Breaking complex systems into maintainable components → Building event\-driven and asynchronous workflows → Automating cloud infrastructure and CI/CD → Applying AI/NLP to practical business use cases → Mentoring engineers and improving engineering practices I’m particularly interested in opportunities where I can combine hands\-on engineering with architecture, technical ownership, and team leadership\. Tech I work with: Python • Django • Flask • FastAPI • AWS • Terraform • Docker • CI/CD • PostgreSQL • MySQL • MongoDB • Redis • RabbitMQ • Pandas • NLP • AI/ML

## Location

Bengaluru

## AI stack

anthropic apis

claude

cursor

langchain

langsmith

openai

## Work experience

Technical Lead at Maplebell Pvt Ltd, Sep 2025 \- Mar 2026 · 6 mo, Bengaluru, As Technical Lead, I worked across backend architecture, cloud infrastructure, AI\-driven features, and end\-to\-end product delivery for logistics and employee\-management platforms\. • Contributed to Kinimatic, a logistics and warehouse management platform for inbound/outbound orders, LTL/FTL deliveries, and shipment tracking using Python, Flask, and MySQL\. • Designed data models and RESTful APIs for warehouse inventory, order processing, and shipment tracking workflows\. • Built an AI\-powered chatbot that enabled users to interact with the platform using natural language to track orders and retrieve database\-driven insights\. • Architected and provisioned cloud infrastructure using Terraform and AWS Lambda, with Amazon SQS supporting asynchronous, event\-driven processing\. • Implemented GitLab CI/CD pipelines to automate application deployments across environments\. • Led backend development for Klockmate, an employee management platform covering attendance, leave management, and shift\-roster workflows\. • Built scalable backend services using Python, Django, and Flask, with MySQL and PostgreSQL for data management\. • Integrated RabbitMQ and Redis to support asynchronous processing and distributed workflows\. • Containerized applications with Docker and collaborated with frontend teams using React\.js\.

Group Head \- Development at Lyxel&Flamingo \(L&F\), Oct 2024 \- Aug 2025 · 11 mos, On\-site, Led an engineering team of 18 developers responsible for architecting and building a SaaS analytics platform for global brands\. • Led technical execution across product development, architecture, engineering practices, and delivery\. • Designed and delivered custom reporting engines using Python, Pandas, GA4, and Meta Ads APIs, saving 30\+ analyst hours per day\. • Developed an AI\-driven chatbot capable of translating natural\-language queries into SQL to provide insights across campaigns, advertisements, products, and listings\. • Built functionality to calculate listing performance scores and generate actionable recommendations for improving product listings\. • Integrated Amazon Marketing Services \(AMS\) APIs for automated bidding and campaign management\. • Designed and implemented GitLab CI/CD pipelines to automate application builds and deployments\. • Managed containerized environments using Docker and automated infrastructure configuration with Ansible\. • Mentored engineers through code reviews, technical guidance, and engineering best practices\. • Upgraded the application stack to FastAPI, improving development efficiency\.

Team Lead at Lyxel&Flamingo \(L&F\), Jan 2023 \- Sep 2024 · 1 yr 9 mos, On\-site, Led the end\-to\-end engineering of an e\-commerce platform, taking ownership from architecture and backend development through deployment\. • Designed the application architecture and backend services for core e\-commerce workflows\. • Delivered the platform MVP within 4 months and scaled it to support 100\+ stores and 1,000\+ monthly transactions\. • Designed and developed RESTful APIs and backend services supporting the platform's core functionality\. • Integrated Paytm and Razorpay payment gateways to enable online transactions\. • Managed AWS EC2 and S3 infrastructure to support application availability and scalability\. • Worked across development, deployment, and technical delivery while coordinating engineering activities\. Core Technologies: Python • Backend Development • REST APIs • AWS EC2 • AWS S3 • Paytm • Razorpay • E\-commerce

Back End Developer at Lyxel&Flamingo \(L&F\), Aug 2021 \- Dec 2022 · 1 yr 5 mos, Hybrid, Started as a Python Developer, contributing to the development of backend services and the company's e\-commerce platform\. • Developed backend functionality and RESTful APIs using Python\. • Contributed to core e\-commerce workflows and application development\. • Worked with AWS infrastructure, including EC2 and S3, supporting application deployment and operations\. • Progressed into a Team Lead role, taking increasing ownership of architecture, delivery, and engineering leadership\.

Web Developer at MunchIn, Oct 2020 \- Jul 2021 · 10 mos, India, Worked on backend development and application architecture, contributing to the design, development, and deployment of web applications\. • Defined application architecture and database schemas\. • Developed RESTful APIs using Python and Flask\. • Implemented data persistence using PostgreSQL and Firebase\. • Integrated RabbitMQ for background task processing\. • Deployed applications on AWS EC2 and S3\. • Supported development timelines and release cycles\.

Python Developer at Graytrium Technologies, Jul 2016 \- Jul 2017 · 1 yr 1 mo, New Delhi, Delhi, India, Developed & maintained backend using Python, MySQL/PostgreSQL\. Defined SDLC processes, conducting performance analysis and testing\. Managed end\-to\-end backend project phases, ensuring zero\-defect deliverables and robust system stability\.

## Education

B\. Tech\., Computer Science Engineering, Manav Rachna College of Engg\.Faridabad

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

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