About Monica
Backend engineer with ~3 years of experience building large-scale data processing systems and backend platforms.
At Quinbay, I worked on the search and discovery infrastructure powering Blibli, where I investigated production data inconsistencies and improved search data stability from 75% to 95% by identifying and resolving issues across distributed services. I also built monitoring dashboards to detect discrepancies and support real-time debugging of search pipelines.
Currently at CredStack.ai, I work on backend systems powering financial document intelligence and call insights platforms. My work involves designing event-driven processing pipelines, building services that transform large volumes of unstructured data into structured datasets, and improving the reliability of AI-powered workflows.
I’m particularly interested in building intelligent backend systems where distributed systems, data processing, and AI-driven applications intersect.
English
Fluent
Tamil
Native or bilingual
Can work on-site
Bengaluru (up to 10km), Coimbatore (up to 10km), Gurugram (up to 10km), Hyderabad (up to 10km)
Experience
- CredStack.aiSenior Software EngineerTECHDecember 2025 - Today (8 months)Bengaluru, India• Engineered an AI-driven financial due diligence platform using Vertex AI and Cloud Run, achieving 95% classification accuracy across 130+ financial parameters and reducing manual review overhead by 80%.• Architected a scalable document intelligence pipeline processing 1,000+ Loan batches/hour using asynchronous Pub/Sub-driven workflows, improving processing throughput by 4×.• Designed a configurable prompt pipelines and workflow orchestration layer enabling parallel lead insight ingestion for 5000+ leads/hour, allowing new insight modules to be added without deployments and with zero downtime.• Mentored junior engineers on backend best practices, improving code review turnaround and delivery consistency.
- DocuStack.aiSoftware EngineerTECHNovember 2024 - November 2025 (1 year)Bengaluru, India
Insights.ai - Call Intelligence Platform
• Developed an AI-powered call insights platform that processes sales and lead calls to generate automate insights and summaries.• Designed a plugin-based processing architecture, enabling new insight modules to be added without requiring service deployments.• Implemented distributed processing pipelines capable of handling 5000+ leads/hour, supporting multiple calls per lead (25+ calls/lead)Automated File Processing Platform
• Built a file ingestion system to ingest and transform client data from SFTP, S3, and HTTP sources.• Implemented services for file extraction, PGP decryption, large file splitting, and batch database upserts.• Added status tracking and automated notifications to improve reliability and observability.• Built a SQL Exporter to generate the query results, enabling flexible data extraction across multiple use cases. - Quinbay TechnologiesSoftware EngineerE-COMMERCEAugust 2023 - November 2025 (2 years and 3 months)Bengaluru, India• Improved data stability from 75% → 95% by identifying and fixing data inconsistencies and building monitoring dashboards using Kibana.• Modernized backend services by upgrading JDK 11 → JDK 21 , Spring Boot 2 → 3, JUnit 4 → 5, and Hystrix →Resilience4J, improving system reliability and maintainability.• Enhanced the performance by cache revamp, JVM tuning, rate limiting, and startup probes, reducing search service pod startup time from ~80s to ~20s and significantly improving platform stability.• Delivered product discovery and recommendation features enhancing search relevance and customer conversion.
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Education
- Bachelor of Computer Science EngineeringSri Shakthi Institute of Engineering and Technology2023Bachelor of Computer Science Engineering