About
A highly accomplished Full Stack Software Engineer with expertise in AI integration and scalable system architecture, proven by developing intelligent knowledge bases and optimizing high-traffic applications. Successfully architected a multi-protocol API testing framework achieving 95% coverage and engineered distributed LLM pipelines for fault-tolerant operations. Drives innovation and efficiency in complex software environments, leveraging a strong background in diverse programming languages and cloud technologies.
Work
Bengaluru, Karnataka, India
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Summary
As a Software Engineer, I architected and developed core testing frameworks and LLM pipelines, dramatically improving test coverage and reducing manual effort for critical systems.
Highlights
Architected a universal multi-protocol API testing framework (REST/GraphQL) with OpenAPI/Postman integration, achieving 95% test coverage and reducing test authoring time by 75%.
Developed a cross-framework middleware SDK for API traffic analysis, detecting anomalies with 90% accuracy and reducing manual testing effort by 60%.
Engineered a distributed, Redis-based LLM pipeline using RQ, ensuring scalable and fault-tolerant LLM operations.
Enhanced Swagger UI with LLM-generated API tests, improving test coverage by 40% through open-source contributions.
Gurugram, Haryana, India
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Summary
As a Software Engineer, I spearheaded the development of AI-powered knowledge bases and scalable sales automation systems, significantly enhancing system performance and user experience.
Highlights
Built and deployed an intelligent knowledge base with real-time meeting integration, implementing a CircleBack → R2 → AutoRAG pipeline to automate transcript sync, vectorization, and seamless knowledge retrieval.
Architected and led full-stack development of scalable sales automation systems using Zapmail/Smartlead APIs and Inngest, delivering high-availability campaign archiving and CSV export features.
Enhanced AI personalization and workflow control through collaboration with product/design, implementing AI prompt controls, partial template locking, and improving AI sequence generation and LinkedIn-based personalization.
Optimized high-traffic page performance with server-side pagination and strengthened observability by implementing Temporal logging, Sentry monitoring, and enhanced CI/CD workflows.
Skills
Programming Languages
Python, TypeScript, C++, C, Java, JavaScript.
Libraries and Frameworks
React, Next.js, Node.js, NestJS, Express, Flask, FastAPI, Spring Boot, GenAI.
Databases & Caching
PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch.
Infrastructure & Tooling
Docker, Kubernetes, AWS, GCP, CI/CD, GitHub Actions, Git, Linux, Tmux, BitBucket.