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Mriganka DharMD
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Mriganka Dhar

@mrigankadhar

I build scalable backend systems and real-time speech APIs in Go and Python.

India
Message

At Gnani.ai, I architected and delivered the vachana.ai backend infrastructure end-to-end, enabling enterprise-grade speech services with 99.9% uptime. I build scalable STT/TTS APIs across REST, SSE, WebSockets, and gRPC, handling 1,000 RPS.

I designed event-driven systems using PostgreSQL and RabbitMQ that process over 10 million daily events for tracking, billing, and authorization with 99.99% transaction accuracy. I also integrated NVIDIA Triton and NVIDIA Riva inference engines for sub-200ms real-time speech processing.

Previously at Sowiz Inc, I built referral and RBAC capabilities, streamed user events with Kafka, and migrated observability from New Relic to OpenTelemetry, reducing monitoring costs by 40%. I work primarily with Go, Python, Docker, cloud platforms, databases, and messaging systems.

Experience

Work history, roles, and key accomplishments

Gnani.ai logoGN
Current

SDE-2

Gnani.ai

Aug 2025 - Present (1 year 1 month)

Architected and delivered vachana.ai backend infrastructure end-to-end, enabling enterprise-grade speech services with 99.9% uptime. Engineered an event-driven architecture with asynchronous credit management using PostgreSQL and RabbitMQ, processing 10M+ events daily for STT/TTS tracking, billing, and authorization with 99.99% transaction accuracy.

SI

Full-Stack Developer

Sowiz Inc

Feb 2025 - Aug 2025 (6 months)

Designed and implemented a referral system that increased customer acquisition by 10-15%, leading to a substantial rise in customer influx and contributing to overall business growth. Implemented RBAC in auth service to ensure access control on resources and streamed user events with Kafka.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Silchar logoNS

National Institute of Technology Silchar

Bachelor of Technology, Electrical Engineering

2019 - 2023

Grade: 8.9/10

Bachelor of Technology in Electrical Engineering from the National Institute of Technology Silchar, with a CGPA of 8.9/10.

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