Aug 2025 – May 2026 · 9 mos · Bengaluru, Karnataka, India · Hybrid

• Built a PII/PCI-safe redaction pipeline for Voice AI transcripts and downstream systems at enterprise scale
• Designed a multi-tenant secure storage system (S3 + IAM + KMS) achieving ~99% reduction in KMS costs
• Developed a production RAG pipeline (Qdrant + Bedrock + Haystack) for knowledge retrieval with tenant-level isolation
• Implemented persistent context storage for AI agents, reducing re-prompting by ~40% and improving latency by ~30%
• Automated tenant onboarding using Temporal + IaC, provisioning infra (S3, IAM, KMS) end-to-end

Mar 2024 – Aug 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

• ● Integrated ad networks and offer walls (IronSource, Google AdMob, Tapjoy) using Django based APIs,
• resulting in a ~25% increase in overall app revenue and improved user engagement.
• ● Architected & Implemented server-to-server (S2S) events for performance analysis (payments, episode reads)
• and posted events to Firebase and Facebook for campaign tracking, driving improved insights and targeting.
• ● Designed and integrated a GraphQL API layer using Graphene-Django to optimize comic detail screen data
• fetching, enabling frontend to retrieve comic metadata, S3 image links, and related episode meta via a single
• query reducing client-server calls by 70%.
• ● Designed and integrated full-text search with autosuggest capabilities for comic titles and descriptions using
• AWS OpenSearch, improving search accuracy and response time in the platform.
• ● Optimised multiple Django REST APIs, including payments coin plans and view episode listings, by
• improving response times, achieving a 60% reduction in latency and enhancing user experience.
• ● Designed and implemented a resilient Dead Letter Queue (DLQ) mechanism in a Kafka-based event-driven
• architecture, ensuring reliable retry handling and minimizing message loss in production.
• ● Integrated Google Play Billing Library and Apple Pay API for in-app purchases using Django(Python),
• enabling secure, scalable, and frictionless in-app purchase flows across Android and iOS platforms.
• ● Developed Airflow DAGs using Python jobs to automate the reconciliation process between Google Play and
• Apple Pay in-app purchases achieving a reconciliation rate of 1% transactions every hour.
• ● Developed a real-time content reporting system utilising Apache Kafka for data ingestion and processing.
• Integrated Amazon SES for sending email notifications based on the processed content data.
• ● Designed and executed A/B experiments to optimise payment plans,

Apr 2023 – Dec 2023 · 8 mos · Greater Bengaluru Area

• ● Engineered a robust algorithm for identifying VoIP calls from raw internet data using Deep Packet Inspection,
• strengthening the product portfolio with advanced data analysis capabilities using TDD (Test Driven
• Development). This innovation delivered an outstanding precision rate of 90%.
• ● Constructed a generic ETL (Extract, Transform, Load) pipeline with multiprocessing capabilities to efficiently
• detect social media uploads from raw internet data using data manipulation, ensuring seamless data flow from
• inception to algorithm-based upload detection. This enhanced the product portfolio by 20%.
• ● Designed and developed a unified cleanup module for efficiently pruning records from the database using userdefined
• date ranges. This contributed to a significant reduction of up to 25% in database storage requirement.
• ● Successfully mentored individuals, facilitating their comprehensive understanding of the code base. Employed
• effective guidance and communication strategies to ensure a seamless integration process, contributing to the
• team’s overall proficiency and success.
• ● Resolved critical issues leading to customer retention. Served as the primary customer contact

Jan 2020 – Apr 2023 · 3 yrs 3 mos · Greater Bengaluru Area