
Chandramouli Prabhakaran
Computer Vision Engineer

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About me
AI Engineer | Expertise in Prompt Engineering, RAG pipelines and LLM fine tuning | Azure cloud | Interest in High Performance Computing Systems
Education

Kent State University
2023 - 2024Master's degree Artificial Intelligence
BSA Crescent Institute of Science and Technology
2019 - 2023Bachelor of Technology - BTech Computer science and engineering
Experience

Chargeback Gurus, an Inc. 5000 company
Jul 2022 - Dec 2022Computer Vision Engineer- Developed an algorithm on pytorch to produce scores on quality and legitimacy of evidence used in dispute resolution, leading to a 25% improvement in chargeback recovery rates. - Streamlined the evidence quality evaluation processes to reduce the dispute resolution team from 10 members to 3. Cutting labor costs by 70% while increasing operational efficiency. - Successfully met all KPIs set during the timeframe, demonstrating measurable improvement on productivity and delivering significant cost savings. Show less

LTIMindtree
Jan 2023 - Jun 2023Computer Vision EngineerContributed to Research and Development within a team-oriented setting, contributing actively to daily scrum meetings to innovate solutions for unique business use cases on geographical and spatial data.Led the implementation of customized ML models (YOLO, FasterRCNN, SSD) to monitor solar panel construction located in Saudi Arabia, leveraging ArcGIS API and Model Builders.Carried out the development of image provessing and segmentation models (SAM, Unet, MaskRCNN) with 79 % accuracy purpose-built for the detection and classification of agricultural fields (satellite image) for an IBM project. Show less

Smart Communities and IoT (SCI) Lab
Aug 2024 - Jan 2025Research Assistant- Collaborated with Gastroenterology doctor Dr. John Park, MD to develop a LLM designed to run on Nvidia Jetson Nano Orin for QA based diagnosis of gastrointestinal and liver diseases. - Developed and deployed LLMs on edge devices, optimizing Llama 3.2's performance (benchmarked against GPT-4o) through a RAG pipeline using domain adaptation techniques that simulates human reasoning via query generation and knowledge graphs. Ongoing evaluation, with plans for publication in ACM journals.
Licenses & Certifications
- View certificate

Associate Cloud Engineer Certification
GoogleJun 2025 - View certificate

Microsoft Certified: Azure AI Engineer Associate
MicrosoftAug 2025 - View certificate

Convolutional Neural Networks
DeepLearning.AIFeb 2022 - View certificate

Python for Data Science
IBMFeb 2021 - View certificate

Microsoft Certified: Azure Administrator Associate
MicrosoftAug 2025
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