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@rahultiwari
5.5+ yrs backend engineer specializing in AI, DevOps, and high-scale systems (200K+ users).
I’m a backend-focused software engineer with over 5 years of experience designing, building, and scaling modern web platforms, APIs, and data pipelines. My work spans startups and product-driven teams across India and Singapore, with hands-on expertise in Python (FastAPI, Flask, Django), PostgreSQL, Docker, Kubernetes, and CI/CD tooling.
I’ve architected production-grade systems in domains like AI-powered HR tech, vehicle IoT tracking, and agriculture intelligence — many of which serve over 200,000 active users globally. I’m especially passionate about GenAI, API performance, and infrastructure automation, and I've led projects that integrated OpenAI models, optimized backend services by 40–60%, and reduced operational costs through smart DevOps practices.
Beyond technical implementation, I’ve led teams, collaborated cross-functionally with product/design, and delivered robust backend ecosystems from zero to launch. I thrive in startup environments that value velocity, ownership, clean architecture, and a learning-first mindset.
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Work history, roles, and key accomplishments
Learnbay (Outspokn)
May 2024 - Feb 2025 (9 months)
Architected, developed, and implemented the backend infrastructure for Outspokn, delivering a highly scalable and efficient system from the ground up. Designed and built backend APIs and code, ensuring seamless integration, robust functionality, and high performance.
Carnot Technologies (Mahindra)
Sep 2022 - May 2024 (1 year 8 months)
Architected and optimized robust backend systems using Python and leading frameworks like Flask/Django, ensuring top-tier performance and scalability. Implemented DevOps practices to automate feature deployment, resulting in streamlined delivery and maintenance of infrastructure.
SEA PTE LTD
Jul 2021 - Aug 2022 (1 year 1 month)
Managed various projects from end-to-end development and deployment, including project migrations and microservices automation. Built a platform and established a pipeline to gather data from multiple sources, while also architecting an analytical platform.
Neurodynamic AI
Jan 2020 - Jul 2021 (1 year 6 months)
Designed and implemented Python-based microservices and APIs to serve ML models, integrating PostgreSQL pipelines for efficient data processing. Led end-to-end project development and deployment, including CI/CD pipelines across AWS and Azure environments.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Computer Science and Engineering
Completed a Bachelor of Engineering in Computer Science and Engineering. The curriculum covered fundamental and advanced topics in computer science, preparing for a career in software development and related fields.
Software and tools used professionally
Postman
OpenAPI
AWS Amplify
Amazon EC2
Microsoft Azure
Google Cloud Platform
Google Compute Engine
Kubernetes
Cloudflare
AWS CodePipeline
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Django
OpenCV
Redis
React
JavaScript
Python
HTML5
CSS 3
Appsmith
Django REST framework
FastAPI
Linux
Windows
AWS Lambda
Azure Functions
Amazon RDS
Azure SQL Database
pytest
Docker
NGINX
Gunicorn
Tastypie
AWS Elastic Beanstalk
Amazon Web Services (AWS)
SQL
Amazon EBS
Airtable
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