Greater Bengaluru Area
I'm a Backend Software Engineer with 1+ year of production experience building scalable REST APIs, event-driven systems, and microservices using Python, FastAPI, and Node.js. My work centers on backend architecture: designing PostgreSQL and MySQL schemas, implementing JWT/OAuth2/RBAC authentication, and building reliable systems with Redis caching and RabbitMQ messaging. I'm comfortable across the stack — pairing FastAPI and Node.js backends with React.js frontends — and have hands-on experience with Docker and Linux deployments in production. Recently, I architected PraDoc, a full-stack telemedicine platform inspired by products like Practo and Zocdoc — covering doctor discovery, appointment scheduling, embedded video consultations, and digital prescriptions, built with a repository-service pattern and clean architecture principles. I've also built an AI-powered ATS resume analyzer using FastAPI and NLP, and worked on a B2B SaaS data-intelligence platform that improved search response times by ~35% through optimized Elasticsearch indexing. What I care about: writing clean, maintainable code, designing systems that scale, and understanding the "why" behind architectural decisions — not just shipping features. Currently open to Backend Engineer, Full Stack Developer, and Python/FastAPI Developer roles. 📩 [email protected] 🔗 github.com/jinendra12kumar
Backend-focused Software Developer building scalable APIs, automation pipelines, and data-intensive systems in a production environment. - Architected a full-stack B2B SaaS data-intelligence platform (Node.js, React.js, MySQL, Elasticsearch), reducing search response times by ~35% through optimized index mappings. - Built asynchronous, event-driven backend workflows using Python, FastAPI, and RabbitMQ to automate large-scale data processing operations. - Implemented RabbitMQ task queues and Redis caching, measurably improving background job throughput and API response times under production load. - Engineered secure authentication using JWT, OAuth 2.0, and RBAC with 2FA (TOTP), supporting multi-account, role-based access across the platform. - Designed large-scale CSV/Excel data-ingestion pipelines to parse, clean, and load business data into relational databases with advanced filtering and query support. - Configured production infrastructure through Cloudflare (DNS, security rules) and managed Dockerized deployments on Linux servers via SSH. Stack: Python, FastAPI, Node.js, React.js, PostgreSQL, MySQL, Redis, RabbitMQ, Elasticsearch, Docker, Linux, JWT, OAuth2, RBAC
Developed a Machine Learning modelusing python and scikit-learn to predict the loan amount based on cibil score and customer data Utilized various regression algorithms to improve accuracy(>90%)