Lakshmeesh H N

Senior AI Engineer

Quadrant Technologies

Apr 2025 - Current (1 year 3 months)

Architected a high-scale Multi-Source RAG system that integrated real-time data from disparate sources including vector databases, structured SQL warehouses, and cloud storage. Developed a custom re-ranking layer to prioritize document relevance, which solved the "lost in the middle" context window problem and significantly improved the reliability of generated responses. Developed a Multi-Agent Orchestration framework designed to handle non-linear workflows. Instead of simple chains, I built a system where specialized agents and Supervisor Agent that orchestrate and collaborate to solve complex tasks, using state management to ensure consistency across long-running tasks. Managed the end-to-end LLM Fine-tuning lifecycle, moving beyond out-

Software Engineer

Quadrant Technologies

May 2024 - Mar 2025 (11 months)

Engineered full-stack applications using Python (FastAPI/Flask) and react, building the end-to-end infrastructure for data-intensive tools. Developed responsive frontends that allowed users to interact with complex datasets through intuitive dashboards and real-time visualizations. Built the initial data ingestion pipelines required for internal analytics, using Pandas and Numpys to clean and structure unstructured data. This served as the foundational layer for the company's later transition toward LLM-based retrieval systems. Implemented early-stage NLP features such as automated text classification and sentiment analysis into existing software products using libraries like scikit-learn and NLTK, improving the categorization of user gener

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Data Analyst

HCL technologies Bangalore

Sep 2022 - May 2024 (1 year 9 months)

Automated financial ETL pipelines using Python and SQL, replacing manual workflows with programmatic data models to ensure accuracy in transaction reporting. Developed predictive models for risk assessment, using Scikit-learn to identify anomalous patterns and potential fraud within high-volume financial datasets. Built automated NLP scripts to categorize unstructured customer feedback, providing actionable insights for product development and risk mitigation. Designed real-time data dashboards that integrated directly with transactional databases to track KPIs and financial health metrics

Program Analyst Trainee

Cognizant Technology Solutions

Jan 2022 - Aug 2022 (8 months)

Trained as a Quality Assurance Engineer.

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