Keerthana Palani

Systems Engineer (Backend Developer) | On Sabbatical @ Tata Consultancy Services

About

I am a Software developer with almost 4 years of experience in backend development, specializing in scalable systems using Java, Spring Boot, REST APIs, and SQL/NoSQL databases in enterprise environments. Currently based in Vancouver, Canada, I am transitioning into AI Engineering with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. I build AI applications using Python along with LangChain and LangGraph for workflow orchestration, and MCP for tool-augmented agent design. I also explore LLM inference optimization and AI system efficiency, with research experience in GPU-based LLM performance improvements and latency reduction. Key areas: LLMs, RAG, and prompt engineering Agentic AI systems using LangChain, LangGraph, MCP AI system design and backend integration LLM inference optimization Enterprise AI governance (ISO/IEC 42001) I am actively seeking AI Engineer roles where I can combine backend engineering expertise with modern AI system design to build scalable, production-ready AI applications.

Country

Canada

City

Burnaby

Industry

Information Technology & Services

Skill

OpenCV, media pipe, Scikit-Learn, Unsupervised Learning, Model Context Protocol (MCP), agentic patterns, Prompt Engineering, Vector Databases, Retrieval-Augmented Generation (RAG), LangGraph, Generative AI, Agentic AI Development, LangChain, Large Language Models (LLM), Natural Language Processing (NLP), Back-End Development, Java, Spring Framework, Spring MVC, Spring Boot

Experience

Systems Engineer (Backend Developer) | On Sabbatical

Tata Consultancy Services

2024-4 - Present · 2 yrs 6 mos

Vancouver, BC

•Currently on approved sabbatical from Tata Consultancy Services while completing a Master’s in Applied Computer Science. •Conducting research on latency reduction in Large Language Models (LLMs) using Learning-to-Rank (LTR) scheduling with vLLM. •Built and evaluated LLM serving optimizations using preemption strategies. •Developed Generative AI applications using RAG, LangChain, and LangGraph. •Focused on production-level challenges: scalability, inference efficiency, and system performance.

Systems Engineer (Backend Developer)

Tata Consultancy Services

2020-8 - 2024-4 · 3 yrs 9 mos

Chennai

• Owned end-to-end SDLC for the Vodafone Hungary Communication Gateway project during a critical phase as the sole backend owner, delivering production-ready features that expanded account scope, increased project revenue, and earned formal manager and peer recognition. • Built and integrated APIs with 98% CRUD accuracy, automated database cleanup reducing manual effort by 90%, and modified the application following SOLID design principles, resolving Communication API bugs to improve system reliability by 95% and ensure scalable, robust production systems. • Optimized DynamoDB deletion by 40% and search APIs by 50%, integrated real-time weather updates, built archival workflows reducing storage by 50%, and streamlined CI/CD, Bitbucket, AWS, and Agile delivery, improving security, performance, and user experience. • Achieved 95% customer satisfaction index by optimizing operational workflows and internal processes; earned multiple on-the-spot awards for consistently high-quality delivery.