About
I am a results-driven Software Engineer with hands-on experience building scalable backend systems and AI-driven applications. I have worked on production-grade APIs, cloud deployments, and evaluation pipelines across .NET, Python, and distributed systems. With experience at Turing and Zudu AI, I bring strong problem-solving skills, ownership mindset, and the ability to ship reliable features in fast-paced environments.
Skills & Expertise (4)
Work Experience
AI/Software Engineer
Zudu AI
10-2025 - Present
Developed and enhanced AI-driven product modules using Python, Node.js, and Java API integrations. Implemented real-time communication pipelines using LiveKit Agents, optimising streaming, event handling, and low-latency interactions. Designed and managed scalable data models in PostgreSQL, including indexing, query optimization, and schema design for high-throughput applications. Built internal microservices for inference, authentication, and workflow orchestration across distributed systems. Integrated multi-language API layers ensuring smooth communication between backend services, orchestrators, and AI modules. Contributed to product architecture discussions, improving system reliability, performance, and cost efficiency. Collaborated with cross-functional teams to ship production-grade features with fast iterations.
Software Engineer
Turing
06-2024 - 10-2025
Designed and developed enterprise-grade applications and internal dashboards using ASP.NET Core MVC and C#, focusing on modular architecture and performance optimization. Built and maintained RESTful APIs integrating with SQL Server and Cosmos DB for handling high-throughput analytical workloads. Implemented backend automation, ingestion, and evaluation workflows using .NET 7 and asynchronous programming patterns. Developed 100+ SFT datasets and 1000+ RLHF tasks for programming and AI evaluation, improving reasoning and quality benchmarks. Integrated cloud-based functions with Azure Functions and configured App Services for scalable deployment. Designed CI/CD pipelines using GitHub Actions and Azure DevOps. Built monitoring and analytics dashboards, reducing manual oversight by 30%. Contributed to IFEVAL benchmarking by curating and validating datasets.
Education
BE in Computer Science
2020 - 2024 · India
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Availability Details
Current Company
Zudu AI
Visa Status
No Visa
Relocation
Open to Relocation