Summary
Overview
Work History
Education
Skills
Certification
Languages
Personal Information
Disclaimer
Timeline
Generic
Kavitha Rengasamy

Kavitha Rengasamy

Sharja

Summary

Lead AI Engineer with over 13 years of software engineering experience specializing in Generative AI, Large/Small Language Model (LLM/SLM) fine-tuning, and production-grade Agentic AI architectures. Expert in building, scaling, and operationalizing centralized orchestration platforms for multi-agent systems, high-throughput Python backend microservices, and secure Retrieval-Augmented Generation (RAG) pipelines. Proven track record of designing robust cloud-native MLOps frameworks across Azure and AWS to deliver autonomous AI agents directly into production enterprise workflows.

Overview

14
14
years of professional experience
1
1
Certification

Work History

Staff Software Engineer

Trimble
11.2024 - Current
  • [Centralized Agentic Platform]: Currently architecting, scaling, and managing Trimble's centralized AI Foundry and orchestration platform (similar to Microsoft Azure AI Foundry and Vertex AI), serving as the unified production ecosystem to govern, deploy, evaluate, and monitor all autonomous AI agents across the enterprise.
  • [Agentic Project ] B2W Multi-Agent RAG Suite: Designed, built, and successfully delivered to production a specialized multi-agent framework for the B2W project, orchestrating 3 distinct helper agents equipped with high-performance Retrieval-Augmented Generation (RAG) to autonomously manage corporate workflows, fetch contextual knowledge base details, and drive employee productivity.
  • [Agentic Project ] B2W Customer-Ready Support Agents: Architected and deployed 2 dedicated supporting agents engineered with advanced RAG architectures specifically for the B2W customer-facing environment, enabling real-time, context-aware query resolution and autonomous generation of user solutions.
  • [Agentic Project] High-Throughput RAG Integration Architecture: Designed and architected high-throughput Python-based integration services utilizing the Saga Orchestrator pattern alongside cloud-native vector databases to power live retrieval-augmented generation workloads.
  • Managed real-time data flow using Apache Kafka (Producer/Consumer patterns) and implemented highly scalable hosted worker services in Python for background event queuing and parallel model inference execution.
  • Applied enterprise MLOps and containerization (Docker, ACR, K8s) for the resilient, production-grade deployment of heavy AI and platform workloads in Azure Cloud.
  • Advanced Agent Observability & Analytics: Shipped comprehensive end-to-end telemetry workflows using New Relic for system monitoring, transaction tracing, and token/latency optimization; integrated interactive executive-level metrics onto Domo boards to track live AI usage metrics, cost management, and KPI alignments.
  • Acted as Scrum Master, managing the scrum board and creating Azure build pipelines for automated MLOps CI/CD deployment

Technical Specialist

Trimble
01.2020 - 08.2024
  • [Agentic Project ] LLM/SLM Domain Adaptation & Fine-Tuning: Led the specialized fine-tuning and production shipment of open-source SLMs and LLMs using parameter-efficient tuning methods (Unsloth, LoRA/QLoRA) on proprietary datasets to optimize domain-specific accuracy for industrial reporting.
  • [Agentic Project ] Autonomous Pothole Detection & Asset Management Agent: Led the backend development and MLOps execution for a live computer vision system utilizing Python, OpenCV, and TensorFlow; integrated an autonomous AI Agent shipped to production to parse visual outputs and auto-assign maintenance work orders.
  • Architected and delivered predictive maintenance solutions, utilizing data analytics and machine learning models to proactively optimize performance.
  • Contributed to Angular and JavaScript front-end development for real-time visualization of machine learning data outputs.
  • Utilized Azure DevOps CI/CD pipelines to manage the automated deployment of production models to Azure/AWS cloud environments.

Senior Software Engineer

TRIMBLE INFORMATION TECHNOLOGIES INDIA PVT LTD
Chennai
10.2016 - 12.2019
  • [AI Project ] Deep Learning Text Summarization Pipeline: Built and deployed a production-grade NLP pipeline utilizing deep learning architectures to process, analyze, and extract concise summary metrics from complex industrial machine repair logs.
  • Managed the end-to-end cloud integration for Python-based analytical microservices and implemented an event-driven architecture using Apache Kafka for real-time model inference pipelines.
  • Ensured high reliability and scalability by applying containerization patterns with Docker and Kubernetes (K8s) on cloud infrastructure.
  • Created Azure build pipelines for Continuous Integration/Continuous Deployment (CI/CD), ensuring rapid and reliable software releases

Associate Developer

Cogniznant
Chennai
08.2012 - 10.2016
  • [AI Project ] Customer Behavior Predictive Modeling: Developed an early-stage conversational insight pipeline coupled with automated data structures to query, predict, and explain customer financial trends directly to branch managers.
  • Developed REST APIs in Python Flask and deployed services to Azure Cloud using Docker and K8s.
  • Performed predictive analysis in retail banking using Python and libraries like Pandas, NumPy, and Scikit-learn to forecast customer behavior.
  • Developed Power BI dashboards for key data visualization and utilized JavaScript for front-end support.

Education

Master of computer science - MCA

Amrita University
Coimbatore

Skills

  • AI & Machine Learning: Generative AI, LLM/SLM Fine-Tuning (Unsloth, LoRA, QLoRA), Agentic AI Frameworks (LangChain, CrewAI), RAG Systems, NLP, TensorFlow, PyTorch, Scikit-Learn, OpenCV
  • AI Ecosystems & Platforms: Microsoft Azure AI Foundry, Google Cloud Vertex AI
  • MLOps & AI Orchestration: Automated Pipeline Design, Model Monitoring & Drift Detection, Vector Database Administration, LLM Evaluation Frameworks, Model Versioning & Registry, New Relic LLM Telemetry, Domo Analytics Dashboards
  • Languages & Frameworks: Python, Flask, FastAPI, Angular, JavaScript, HTML-CSS, SQL, MongoDB
  • Cloud & DevOps: Azure Cloud, AWS Cloud, Azure DevOps, Docker, Kubernetes (K8s), CI/CD Pipelines, Apache Kafka, Datadog, New Relic
  • Data Analytics: Pandas, NumPy, Microsoft Power BI, Domo, Dataflow
  • Methodologies: Scrum/Agile, Microservices Architecture, Resiliency Patterns (Circuit Breaker, Retry, Cache)

Certification

  • AWS Certified Developer-Associate
  • PGP in Data Science and AI (Accredian)
  • PowerBI

Languages

English

Personal Information

  • Gender: Female
  • Nationality: Indian
  • Marital status: Married

Disclaimer

I hereby declare that all the above details are true to the best of my knowledge and belief.

Timeline

Staff Software Engineer

Trimble
11.2024 - Current

Technical Specialist

Trimble
01.2020 - 08.2024

Senior Software Engineer

TRIMBLE INFORMATION TECHNOLOGIES INDIA PVT LTD
10.2016 - 12.2019

Associate Developer

Cogniznant
08.2012 - 10.2016

Master of computer science - MCA

Amrita University
Kavitha Rengasamy