Sruthika I

Generative AI Engineer with 2 years of experience designing and shipping AI-powered applications using LLMs, RAG pipelines, LangChain, and OpenAI APIs. Skilled in building intelligent chatbots, semantic search, and document-based QA systems using Python, vector databases (FAISS, Pinecone), FastAPI, Docker, and AWS. Focused on delivering scalable, production-ready GenAI solutions that reduce manual effort and drive measurable business value.

Jr.

Software

Engineer at Cognizant Technology Solutions (2023-01 – Present)

• Faced recurring production failures in NCOA, an enterprise batch processing application; performed root cause analysis (RCA) on failed batch jobs and streamlined the troubleshooting workflow, cutting resolution time for recurring incidents.
• Identified that manual log review was slowing down debugging, so designed and built a Python-based GenAI module using RAG architecture to enable natural language querying over application logs.
• Integrated an OpenAI LLM to automate root cause identification from log data, reducing manual log-analysis effort and accelerating issue resolution for the engineering team.
• Owned day-to-day batch job monitoring and log analysis across production systems, proactively flagging anomalies before they escalated into incidents.

B.E. in Computer Science Engineering – K Ramakrishnan College of Engineering (2019-01 – 2023-01)