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Nitesh Rathee

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

Bengaluru

6+ years of work experience

Sep 20256 moMar 2026

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.
Lyxel&Flamingo (L&F)
Oct 202411 mosAug 2025

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.
Lyxel&Flamingo (L&F)
Jan 20231 yr 9 mosSep 2024

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
Lyxel&Flamingo (L&F)
Aug 20211 yr 5 mosDec 2022

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.
MunchIn
Oct 202010 mosJul 2021

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.
Jul 20161 yr 1 moJul 2017

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.

Nitesh’s AI Stack

anthropic apis
anthropic apis
claude
claude
cursor
cursor
langchain
langchain
langsmith
langsmith
openai
openai

Education

B. Tech., Computer Science Engineering

Manav Rachna College of Engg.Faridabad

20124 yrs2016

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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

Nitesh Rathee - Technical Lead in Bengaluru | Tal