Thanishka A

Software Engineer - AI with hands-on experience building GenAI, RAG, and AI-powered backend systems using Python, FastAPI, LangChain, Weaviate, PostgreSQL, Redis, Docker, and AWS. Skilled in developing LLM-based tool-calling workflows, semantic search pipelines, REST APIs, and scalable AI applications. Delivered measurable impact through 30% latency reduction, support automation across 10,000+ documents, and deployment support for 500+ concurrent requests.

Strong foundation in machine learning, NLP, prompt engineering, and production-ready AI application development.

Software Engineer - AI - Gartner - India

(2026-02 - 2026-08)

• Collaborated with backend, product, and customer support teams to develop an AI-powered support platform, reducing manual knowledge-base search effort across 10,000+ documents.
• Designed and implemented RAG-based ingestion, chunking, embedding, and semantic search pipelines using Weaviate to improve answer relevance and retrieval accuracy.
• Implemented LLM-based tool-calling workflows to automate repetitive support operations, including order-status retrieval, ticket creation, and query escalation.
• Developed FastAPI-based REST APIs for query processing, authentication, retrieval workflows, and tool execution within the support automation platform.
• Integrated PostgreSQL, Redis caching, and Weaviate vector search to optimize backend performance, reducing average response latency by 30%.
• Built an evaluation framework to measure retrieval accuracy, response quality, tool-call correctness, and latency across 300+ test queries.
• Containerized and deployed the application using Docker and AWS with logging, monitoring, and fault-handling support for 500+ concurrent requests.

Bachelor of Technology - Computer Science and Engineering - Gandhi Institute of Technology and Management (GITAM) (2022-07 - 2026-05)

Board of Intermediate Education (Class XII) - Sri Chaitanya Junior College (2020-06 - 2022-04)