Kella Akhil Abhilash

As a Founding Engineer at Wexa AI, I played a key role in building and scaling an AI-driven automation platform from the ground up, taking ownership of system design, architecture, and core product development. Led end-to-end system design and architectural decisions, ensuring scalability, reliability, and extensibility of the platform from its early stages. Designed and developed AI-powered workflow automation systems using Python and FastAPI, enabling seamless orchestration across multiple applications. Built a Master Connector framework (pre-MCP style) that dynamically selects and executes tools based on user intent, forming the backbone of intelligent automation. Engineered a prompt-driven AI coworker generation system that automatically creates fully functional automation workflows from minimal input. Developed a hybrid RAG architecture (Vector + Graph RAG) to enhance contextual reasoning, relationship-aware retrieval, and response accuracy. Implemented LLM orchestration layers supporting multiple providers (OpenAI, Bedrock, Gemini, Grok, open-source models) with fallback and abstraction mechanisms. Designed and integrated graph database systems to model workflows, dependencies, and contextual knowledge relationships. Led multiple AI POCs → production transitions, turning research ideas into scalable, real-world product features. Improved system performance and scalability by ~25% through microservices architecture and optimized LLM pipelines. Contributed to DevOps, observability, and production stability, supporting increasing enterprise usage. Actively drove R&D in GenAI, prompt engineering, and automation, shaping the product vision and innovation roadmap

At wexa.ai, I contributed significantly to the development of an AI-driven automation product designed to streamline and customize workflows based on user needs. This innovative system enhanced operational efficiency by automating complex tasks and processes. Key Responsibilities and Achievements: Backend Development: Utilized Python to develop and maintain robust backend systems, ensuring seamless data integration and flow. Frontend Development: Leveraged React.js to create intuitive, responsive user interfaces, enhancing the overall user experience. API Integration: Facilitated seamless interactions between various applications through APIs, enabling smooth communication and data exchange. AI and LLM Integration: Acquired and applied in-depth knowledge of large language models (LLMs) and AI automation, contributing to the product’s advanced intelligence and automation capabilities. Customization and Flexibility: Developed features that allowed high customization, empowering users to tailor workflows precisely to their specific requirements. Continuous Learning: Expanded expertise in AI automation, API interactions, and cutting-edge technologies, ensuring the product remained at the forefront of industry advancements. Throughout my tenure, I collaborated with cross-functional teams to deliver a product that significantly transforms how businesses manage their workflows. This role allowed me to deepen my skills in both backend and frontend development while gaining valuable insights into AI and automation technologies. My work at wexa.ai reflects a commitment to innovation and excellence, driving the creation of a product that meets diverse user needs and sets new standards in workflow automation.

• Designed and implemented a user-friendly interface for a custom video calling application, ensuring intuitive navigation and seamless user experience using React JS. • Integrated the company’s video streaming application with the video calling platform, enabling seamless real-time video sharing during calls.

• Specialization: Computer Science and Engineering • Relevant Coursework: Machine Learning, Deep Learning, Natural Language processing, Data Science and AI • CGPA: 8.64/10