Akash Suvagiya

Develops scalable full-stack solutions and customizable analytics dashboards for AI-powered human activity analysis in videos. Maintains and deploys proprietary AI video and behavior detection products, manages CI/CD pipelines and infrastructure monitoring, and built a multithreaded Python migration framework that migrated more than one billion records from V1 to V2 with zero downtime and zero data loss. Engineers MongoDB-to-BigQuery data pipelines using Airbyte, Airflow, and dbt, and integrates Gemini-powered natural-language-to-SQL querying. Migrated a monolithic application to Kubernetes on GCP and built internal SDKs, RAG systems, MCP servers, AI agents, and event-driven video processing workflows using RabbitMQ and Celery.

Designed scalable system architectures and high-performance REST APIs with advanced caching strategies. Developed secure Stripe payment modules, AWS S3 multipart file uploads, and high-volume communication systems using AWS SES, CloudFront CDN, and Gupshup. Built automated REST API code generators, dynamic Excel import/export tools, cell-level audit entity generators, and scheduler frameworks for background jobs. Led Karza KYC and banking integrations for a large NBFC enterprise project while collaborating with cross-functional teams to deliver secure and compliant backend systems.

Developed Windows services integrating POS machines with web platforms through the Shift4 payment gateway and implemented Stripe connected accounts for scalable financial workflows. Designed and optimized REST APIs using MongoDB aggregation pipelines and integrated reservation platforms including Booking.com and Agoda for automated synchronization. Built GitLab CI/CD pipelines on Google App Engine and scheduled cron jobs for audits, data accuracy, and compliance. Created Jasmine and Karma unit tests and developed Angular modules with complex forms, drag-and-drop features, authentication, error handling, data management, and AWS S3 uploads.