sneha N.
Senior Backend Architect
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Sneha N. is a seasoned Backend Architect specializing in distributed systems and AI-driven platforms with over 18 years of experience. Her career spans high-scale, fault-tolerant system development across fintech, logistics, and enterprise domains. She has demonstrated expertise in delivering end-to-end systems, including APIs and real-time data pipelines. Notably focused on agentic AI, she is proficient in RAG, LLM integration, and tool-driven workflows, trained in NVIDIA Agentic AI. As an Independent Data Integration Consultant, Sneha built predictive data pipelines, enhancing financial document intelligence, and reduced manual review by about 65%. During her tenure at MeasureOne, she achieved a 97% accuracy in data extraction using advanced pipelines. Her role at SJULTRA included developing event-driven microservices, enhancing compliance automation, and delivering cloud-based operational dashboards. Sneha's technical prowess covers Node.js, Kubernetes, and AWS, among other key technologies.
Experience
Independent Data Integration Consultant
Freelance · 2025 — PresentCreated predictive data pipelines for financial document intelligence to minimize manual reviews across extensive datasets. Leveraged probabilistic modeling, heuristic extraction, and LLM inference to enhance unstructured data extraction accuracy. Designed near real-time ETL and time-sensitive data pipelines for low-latency processing of financial signals. Established data observability and performance monitoring using Grafana and Datadog for tracking pipeline metrics and anomalies. Organized datasets for subsequent statistical modeling and machine learning workflows.Lead Developer
MeasureOne, Inc. · 2024 — 2025Developed a document intelligence pipeline utilizing Node.js, AWS Textract, and Docker/Kubernetes to decrease manual document reviews significantly. Employed a multi-stage pipeline integrating deterministic parsers with LLM-based fallback inference to achieve high data extraction accuracy. Transformed data latency from daily batches to minutes through the implementation of near-real-time ETL and CDC pipelines for financial datasets. Enhanced production reliability and debugging processes via observability tools like Grafana and Datadog. Collaborated with product and data teams to prioritize Agile improvements for document coverage and pipeline stability.Lead Developer
SJULTRA, Inc. · 2023 — 2024Engineered event-driven microservices leveraging Kafka and MongoDB to increase throughput. Implemented LLM-based automation for compliance, significantly reducing review time. Managed the entire development lifecycle from schema design to API deployment and metrics tracking, which improved release speed. Created cloud dashboards that enhanced operational and marketing visibility.Lead Developer
Ekshot Advertcom Pvt Ltd · 2021 — 2023Developed a multi-tenant marketing platform featuring automated campaign analytics, which improved campaign efficiency. Integrated growth automation tools like Mailchimp, Stripe, and Zapier to boost user acquisition. Enhanced backend performance through the refactoring of legacy modules. Designed event-driven architecture with Kafka for real-time data processing.Lead Developer
SS Shipping Pvt Ltd · 2017 — 2022Automated processes for customs documentation and shipment workflows, thereby streamlining processing times. Created real-time fleet tracking systems that included predictive maintenance alerts. Developed a MongoDB-based read-optimized data layer to support low-latency APIs and implemented denormalized views for rapid query access.Senior Developer
TEKsystems / MasterCard · 2015 — 2016Constructed backend modules for card upgrade and migration systems using Java and Apache Struts to facilitate extensive card lifecycle changes. Developed secure payment and reporting APIs that reduced code duplication whilst enhancing feature delivery efficiency. Contributed to internal reporting systems, facilitating transaction and billing operations. Managed deployments and maintenance of Java EAR applications on IBM WebSphere clusters, overseeing JAR libraries, configurations, and release artifacts. Supported financial reporting workflows through integration of reporting loaders and processing jobs.
Skills & Expertise
Education
- Bachelor of Engineering (Computer Science)School of AI · — — 2007