Ananya Shashishekar
Ananya Shashishekar

Backend Software Development Engineer

Open to offers · Member since 25 Aug 2026
Message
Location
Bangalore, India
Desired salary
Confidential
Work preference
Hybrid / Full Time
Experience level
Junior

About

Professional summary

I am a Backend Software Development Engineer with experience building scalable, high-throughput distributed systems in Python and Django.

I currently work at Shadowfax Technologies, where I develop backend services for digital onboarding, EV fleet management, billing automation, shipment data quality, and OTP delivery.

I have hands-on experience with asynchronous, event-driven architecture using Kafka, Celery, and Redis. I focus on improving system reliability, scalability, latency, and operational efficiency.

I work with relational databases and search technologies including MySQL, SQLite, and Elasticsearch. I also use observability tools such as New Relic, Grafana, Kibana, and Sentry to monitor and debug production systems.

My technical foundation includes Python, Java, C++, JavaScript, and TypeScript, along with REST APIs, automated testing, CI/CD, Git, and Agile practices.

I hold a B.Tech in Computer Science from PES University and enjoy solving practical engineering problems involving backend architecture, automation, distributed systems, and data-driven applications.

Notice period: 60

Skills

22 capabilities

Tech stack & tools

Working toolkit

Analytics

Application Hosting

Data Stores

Languages & Frameworks

Monitoring

Experience

Career history

Software Development Engineer I (Backend) Shadowfax Technologies

Designed and implemented a DigiLocker-based KYC onboarding workflow using Python and Django, automating digital identity verification and reducing manual verification effort and onboarding-related fraud. Built scalable backend services and IoT integrations for EV fleet management, enabling remote vehicle operations, rent collection, and real-time status tracking; this contributed to a 60% increase in fleet utilization.

Re-architected OTP delivery from synchronous APIs to an asynchronous Kafka-based distributed architecture, reducing delivery latency by 30% while improving reliability and scalability. Automated enterprise billing workflows, improving billing accuracy by 20% and saving approximately 10 person-days per month. Integrated Elasticsearch to identify missing shipment metadata and maintained production backend systems using Python, Django, Kafka, Celery, Redis, MySQL, and Elasticsearch, with monitoring through New Relic, Grafana, Kibana, and Sentry.

Education

Learning history

PES University

B.Tech, Computer Science

Bachelor of Technology in Computer Science. GPA: 8.2.

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