Khondoker Md Mamunur Rashid
I’m a senior Python/JavaScript developer with over 15 years of experience building scalable, high-performance software solutions across multiple industries. js, as well as modern frontend technologies like React.
About
I’m a senior Python/JavaScript developer with over 15 years of experience building scalable, high-performance software solutions across multiple industries. I specialize in developing full-stack web applications, data pipelines, and AI-driven systems, with a strong focus on backend architecture using Django, FastAPI, and Node.js, as well as modern frontend technologies like React.
My core strength lies in AI engineering and automation—designing and deploying LLM-powered agents, RAG-based chatbots, and semantic search systems using tools like LangChain, LangGraph, HuggingFace, and vector databases. I also bring solid expertise in data engineering, ETL workflows, and analytics, working with technologies such as PostgreSQL, MongoDB, Snowflake, and Pandas.
In addition to software development, I have hands-on experience in DevOps and cloud infrastructure (AWS, Docker, Kubernetes, CI/CD), along with a background in network engineering and system administration. This allows me to deliver end-to-end solutions that are not only scalable and secure but also production-ready.
What differentiates me is my ability to bridge traditional software engineering with modern AI capabilities, building intelligent, reliable systems that solve real-world problems efficiently.
- 9 years' experience
- Joined November 2025
Skills· 16
Languages
- EnglishFluent
- BengaliAdvanced
Industry experience
- Software & Internet
- Professional Services
- Media & Entertainment
Work experience· 8 roles
Developed rental app: Developed a rental application similar to Airbnb, tailored for the Gulf region, incorporating innovative features to enhance user experience and compliance. Utilized a modern tech stack including Next.js, DRF, FastAPI, Expressjs, AWS (SQS, SNS, API Gateway, RDS), and Docker for scalable and efficient deployment. Developed a mobile app ( spa center management system) using django (api backend), postgresql, react native, expo etc
Led modernization of a mission-critical legacy system by upgrading Python/Django stack; replaced task ecosystem with Celery + Redis; built AI-driven marketing automation tools using LangChain, LangGraph, and n8n; established scalable CI/CD pipelines on AWS with Docker/Kubernetes.
Optimized ETL pipelines using Snowflake, Snowpark, AWS Batch, S3, EC2, and CloudFormation; implemented vector-based search with FastAPI, Pinecone, and Sentence-Transformers to enhance product discovery and analytics.
Education
Certifications and awards
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