
Aditya Thakur
@adityathakur4
I build reliable backend and real-time systems for fraud operations and messaging.
What I'm looking for
I built fraud-operations and real-time detection systems during my Software Development Engineer internship on Navi’s Trust & Safety team.
I designed a self-serve platform with Kotlin, Spring Boot WebFlux, PostgreSQL, S3, and Kafka, eliminating recurring manual on-call escalations for the fraud-response team.
I redesigned four Apache Flink pipelines, cutting infrastructure cost by approximately 65% and eliminating lag-driven production alerts. I also built Kafka Streams flows for device-tamper detection and WhatsApp fraud confirmation, supporting automated actioning for approximately 600 users daily.
Beyond production systems, I’ve built a Redis-backed real-time messaging platform and a voice-based shopping assistant with MongoDB transactions, Atlas Search, and ChatGPT API integration. I enjoy building scalable backend systems with strong reliability, observability, and data consistency.
Experience
Work history, roles, and key accomplishments
Software Development Engineer Intern
Navi
Jan 2026 - Jun 2026 (5 months)
Designed and built a self-serve fraud-operations platform using Kotlin and Spring Boot WebFlux, eliminating manual on-call escalations. Redesigned Apache Flink pipelines to cut infrastructure costs and improve reliability.
Education
Degrees, certifications, and relevant coursework
Thapar Institute of Engineering and Technology
B.Tech, Computer Engineering
2022 -
Grade: CGPA 8.76
Pursuing a B.Tech in Computer Engineering with a CGPA of 8.76.
Aadhunik Public School
CBSE
2019 - 2021
Grade: 94%
Completed CBSE with a grade of 94%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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