Headline

Senior Backend Engineer | Ex-Founding Engineer @ KOSH (YC W20) | Python • Django • Distributed Systems • PostgreSQL • Redis | Built Platforms for 200k+ Users | IndiaQuotient 30 Under 30

About

Senior Backend Engineer | Distributed Systems | System Architecture | Ex-Founding Engineer @ KOSH (YC W20) I'm a backend engineer with nearly 7 years of experience building scalable distributed systems, high-availability backend platforms, and real-time applications. As a Founding Engineer at KOSH, I helped build and scale products serving 3M+ registered users across fintech, real-time communication, workflow automation, and workforce operations. I began my career building React Native and React applications before transitioning into backend engineering, where I now focus on distributed systems, microservices, databases, and system architecture. That journey gives me an end-to-end perspective on building reliable products - from client applications to the backend platforms that power them. Core Expertise • Python, Django, PostgreSQL, Redis, RabbitMQ, Celery, MQTT • Microservices, REST APIs, Distributed Systems • Event-Driven Architecture, Multi-Tenant SaaS, Real-Time Systems • AWS, Docker, Jenkins, Prometheus, Grafana, Sentry • React Native, React.js Highlights • Architected and scaled a multi-tenant real-time communication platform using MQTT, RabbitMQ, and asynchronous workers. • Built event-driven loan recovery workflows that improved repayment compliance by 20%, increased loan recovery by 18%, and reduced manual effort by ~50%. • Designed independently deployable microservices for authentication, messaging, workflow automation, and third-party integrations. • Improved backend scalability through Redis caching, distributed rate limiting, and concurrency controls. • Optimized PostgreSQL schema design, indexing strategies, and SQL queries for high-volume transactional workloads. • Built offline-first geospatial tracking and synchronization pipelines for workforce management platforms. • Led and mentored 15+ engineers, driving architecture decisions and engineering best practices. 🏆 IndiaQuotient 30 Under 30 Engineering Awardee (2024) I'm also the creator of react-native-upi-pay, an open-source React Native library for UPI payment integration. I enjoy solving distributed systems challenges, building scalable backend platforms, and mentoring engineers. Always happy to connect with people interested in backend engineering, system design, and distributed architectures. 📌 Portfolio: https://falendra.dev

Location

Bengaluru

AI stack

antigravity

claude code

codex

ollama

ChatGPT

Qwen

Work experience

Co-Founder at CREWMINT, Dec 2025 - May 2026 · 6 mos, Bengaluru, •Architecting a multi-tenant workforce operations platform using Python, Django, PostgreSQL, Redis, Celery, RabbitMQ, and AWS. •Building offline-first geospatial tracking, event-driven workflows, and real-time synchronization for field workforce management. •Designing scalable REST APIs, asynchronous processing pipelines, and authentication services for enterprise SaaS applications. •Developing a React Native SDK and native Android location engine for enterprise-grade background location tracking. •Owning product architecture, backend services, cloud infrastructure, CI/CD, and production deployments end to end.

Senior Software Engineer at Kosh, Aug 2019 - Dec 2025 · 6 yrs 5 mos, Gurugram, •Architected and implemented a multi-tenant distributed backend system for an in-house chat SaaS product, improving scalability and reducing infrastructure costs by 25%. •Designed Python/Django-based microservices for authentication, workflow automation, messaging, and third-party integrations. •Built tenant SSO platform, reducing login issues by 40% and improving user onboarding. •Led end-to-end system design (HLD/LLD), API design, and system component architecture for chat, workflow automation, job application, and referral systems. •Engineered real-time chat infrastructure handling 200k+ users with MQTT/RabbitMQ and distributed workers. •Developed an Automated Recovery Calls system, improving loan recovery rates by 18% and reducing manual efforts by 50%. •Built asynchronous reminder workflows (IVR/SMS/WhatsApp) using Celery and queues, improving repayment compliance by 20%. •Practiced Test-Driven Development (TDD) by writing unit tests before feature implementation, ensuring high code reliability and reduced regression defects. •Set up CI/CD pipelines via Docker + Jenkins, ensuring reliable, automated deployments. •Optimized PostgreSQL schema design, indexing, and query performance for high-traffic services. •Implemented Redis-based caching, load balancing, and API rate limiting to improve system performance, ensure high availability, and handle high-traffic workloads efficiently.

Education

Bachelor of Engineering (B.E.), Computer Science, Shri Shankaracharya Technical Campus Bhilai

AISSCE, PCM, Shishu Sanskar Kendra Higher Secondary school mahasamund, Chhattisgarh

Public links

github: https://github.com/falendra

falendra.dev: https://falendra.dev/