Sayaam For All, United States — Software Developer (Sept 2025 – Present)
Designed and built an AI-powered data observability platform to monitor Databricks and Snowflake pipelines, proactively detecting data quality issues such as row-count drift, null spikes, schema changes, and freshness breaches.
Implemented a configurable data quality rule engine and statistical anomaly detection framework, persisting violations and severity metrics in Delta Lake for auditability and trend analysis.
Developed an agentic RAG workflow using LangChain to analyze pipeline logs, table lineage, schema history, and past incidents to generate root-cause explanations with supporting evidence.
Automated incident analysis and triage by correlating upstream pipeline changes with downstream KPI deviations, identifying impacted tables, jobs, and business metrics.
Built an AI-driven remediation recommendation engine that generates targeted SQL diagnostics, backfill strategies, and preventive data-contract checks to reduce issue recurrence.
Exposed incident insights and quality metrics through FastAPI endpoints, enabling integration with dashboards, alerting systems, and downstream applications.
Tracked prompt versions and agent performance using MLflow to evaluate and continuously improve explanation accuracy and recommendation quality.
Delivered a scalable Fleet Management Web Application using Angular, improving fleet visibility and asset utilization by 30% through real-time tracking and analytics.
Led the end-to-end development of key UI components including authentication workflows, dashboards, side navigation, dynamic tables, and interactive data visualizations, ensuring a cohesive and responsive user experience.
Designed and implemented advanced data tables with sorting, filtering, pagination, and contextual actions, improving operational efficiency for logistics managers.
Integrated Kibana and Elasticsearch to automate BI dashboards, reducing manual reporting time by 60% and enabling data-driven decision-making.
Developed and optimized RESTful APIs using Spring Boot, enabling seamless communication between microservices and improving backend response time by 35%.
Deployed and containerized services using Docker for consistent environment management and simplified CI/CD workflows