Tata Consultancy Services
Developer, AI & Data
2024 - Present
- Co-developed an agent-based GenAI system with 5+ agent types and 10+ integrated tools, enabling modular task execution, scalable development, and seamless integration with external and internal services via RESTful APIs and data pipelines.
- Implemented runtime agent-tool attachment and Model Context Protocol (MCP) communication, streamlining onboarding and reducing integration time by ~30% using metadata-driven execution flows.
- Optimized the agent-tool binding mechanism, achieving a 15% improvement in execution speed and a 20% reduction in latency for high-priority GenAI workflows, with standardized schemas for easier maintenance and observability.
- Designed and rolled out a GenAI agent development framework leveraging LLMs, reducing custom agent development effort by 40% through configurable decorators, reusable components, and centralized logging, enhancing developer experience.
- Collaborated cross-functionally with product and platform teams to define technical specifications and deployment requirements, leading to 20% faster feature delivery cycles and smoother production rollouts.
- Conducted code reviews and mentored 5+ developers, resolving multiple technical blockers in API design, data validation, and microservice communication to improve system reliability by 15%.
