Highly accomplished Software Engineer with 2+ years of experience specializing in high-performance backend services, scalable API design, and full-stack development, with a strong focus on AI/ML applications. Proven expertise in developing and deploying innovative solutions, including AI-powered conversation agents, cloud-based VoIP platforms, and real-time data dashboards, significantly improving efficiency and user experience. A published researcher with a strong academic background, adept at leveraging modern technologies like React.js, Node.js, Docker, and AWS to deliver impactful software solutions.
Ahmedabad, Gujarat, India
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Summary
Led the integration of AI agents with a VoIP platform and contributed to a cloud-based VoIP platform, enhancing intelligent query handling and user communication.
Highlights
Integrated AI-powered conversation agents with a VoIP platform, automating lead qualification and enhancing intelligent query handling for improved customer service efficiency.
Contributed to the development of CallHippo's cloud-based VoIP platform, supporting a large user base across the US and Canada.
Developed a robust SMS/MMS messaging service utilizing Vonage, ensuring seamless and reliable communication between users.
Implemented contextual AI-to-human handoff mechanisms, optimizing transitions and maintaining a consistent customer experience.
Bengaluru, Karnataka, India
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Summary
Developed high-performance backend services for CTRM platforms, real-time market data dashboards, and scalable APIs, significantly improving system efficiency and data access.
Highlights
Built high-performance backend services for CTRM platforms, improving efficiency and reducing response times by 30%.
Developed real-time market data dashboards, enabling faster, data-driven decision-making for trading clients.
Implemented robust role-based access control and authentication features, ensuring secure and reliable data access for sensitive data.
Designed scalable APIs and optimized database architecture with NoSQL solutions, enhancing system performance and reliability.
Published by
Multidisciplinary Digital Publishing Institute (MDPI)
Summary
A comprehensive study and novel approach leveraging deep learning to enhance fingerprint liveness detection accuracy.
Node.js, Express.js, Java, Python, REST APIs.
React.js, Redux, Next.js, TailwindCSS.
OpenAI API, LangChain, LLM Fine-tuning, RAG.
Git, AWS, Docker, Kubernetes, CI/CD.
SQL, MongoDB, VectorDB, PostgreSQL.