Hi, I'm Arvindkumar CM
Software Engineer and a Student
Building scalable, secure, and efficient systems with over 2 years of experience
About Me
I am Arvindkumar Chandramouleeswaran, a Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at SRMIST. I have hands-on experience in ML/DL, Generative AI, Computer Vision, and have built end-to-end AI-driven systems for industry and research. I am passionate about building impactful solutions and leading teams in tech and research.
My journey spans AI-driven troubleshooting systems, generative AI chatbots, computer vision for manufacturing, and interactive research projects. I thrive in collaborative environments and have held leadership roles in student associations, driving innovation and creativity.
Tech Stack & Skills
Frontend: HTML, CSS, ReactJS (basic), JavaScript (basic). Backend: Node.js (basics), Flask. Languages: Python, intermediate C/C++, basics Java.
Domains & Tools
ML/DL, Generative AI, Computer Vision. Tools: Power BI, Salesforce.
Design & Visualization
Autocad, Canva, Figma, basics of Blender. Data visualization and UI/UX design experience.
Leadership & Associations
Research Head & President at Cintel’s Next Gen AI, SRMIST. Creatives Head at Cintel’s Next Gen AI.
Experience
My professional journey and key accomplishments
Student Intern
Chennai Metro Rail Limited (CMRL)
- Engineered an end-to-end system that extracts and structures fault codes and system data from complex PDF manuals using NLP and regex-based parsing.
- Designed a modular pipeline to split manuals into subsystem chunks and associate fault codes with relevant sections for accurate retrieval.
- Implemented semantic search via FAISS vector store and HuggingFace embeddings to retrieve contextual fault details with high precision.
- Integrated the Gemma 2B LLM via Ollama to generate accurate, non-hallucinated troubleshooting responses tailored to specific fault codes.
- Built an interactive Streamlit UI enabling users to query issues, view recommended solutions, and explore subsystem-specific fault histories.
- Developed dynamic abbreviation mapping and visualization tools to aid technicians in understanding system nomenclature.
Student Intern
TATA STEEL India Private Limited
- Developed a TMT Bar Analysis System incorporating Ring Test and Rib Test to evaluate strength and stability of TMT bars.
- Designed an automated system for segmenting the cross-sectional area of TMT bars, enabling precise measurement of ring thickness for quality compliance.
- Built a dynamic, data-driven frontend to visualize test results in real-time and integrated automated report generation for comprehensive data analysis.
- Developed a masking system to normalize unit measurements, ensuring users capture precise and accurate images for analysis.
- Designed an interactive UI for seamless navigation, enhancing user experience and efficiency in the TMT Bar analysis process.
- Developed a formula and normalization factor to accurately calculate distances across varying focal lengths, enhancing precision in optical measurement systems.
Student Intern (AI and ML Engineer)
Sentient Scripts
- Developed a Generative AI chatbot employing Retrieval-Augmented Generation (RAG) to deliver precise and contextually amusing weather updates.
- Integrated pre-trained LLMs with a retrieval-based architecture to improve response accuracy by dynamically incorporating meteorological data from the OpenWeatherMap API.
- Optimized the LLM utilizing Hugging Face Transformers for a conversational tone, ensuring contextually appropriate humor in accordance with real-time weather data.
- Engineered a resilient back-end pipeline using PyTorch for retrieval, data preparation, and response creation.
- Implemented an interactive interface using Streamlit, facilitating effortless user interaction and augmenting user engagement with contextual humour.
- Developed an AI-driven paraphrasing chatbot using Streamlit and the Gemma 2:2b model, enabling precise and contextually accurate paraphrased outputs with support for adjustable NLP parameters.
- Deployed the application on a secure AWS EC2 server, hosting all necessary resources for offline functionality, ensuring low-latency performance.
- Integrated features such as semantic similarity map visualization using NumPy, Seaborn, and Matplotlib to analyze sentence-level embeddings.
Student Intern (AI and ML Engineer)
Renault Nissan Automotive India Private Limited
- Contributed in developing a multi-sensor data capturing system utilizing Depth sensors, LIDAR, and RGB cameras to scan and analyze the goods in trucks, leveraging Point Cloud Processing and Voxel Grid Filtering techniques to generate accurate 3D models of the environment, and calculate precise truck fill ratios for optimization.
- Applied point cloud and voxel grid filtering methods to process and refine raw sensor data, creating detailed 3D representations of the cargo space and enabling accurate volume measurements for efficient load planning and resource allocation.
- Developed advanced AI-driven algorithms for real-time data fusion and anomaly detection, integrating multiple sensor inputs to enhance system robustness, ensure data consistency, and enable predictive analytics for optimal cargo distribution and route planning.
Skills
My expertise and technical proficiencies
Frontend
Backend
Database
Cloud & DevOps
Tools & Methodologies
Projects
A selection of my research and major projects
Handwritten Text Recognition Model
OCR-based image reader using Streamlit, enabling users to capture images and extract handwritten text. Integrated Ollama models for analysis, real-time extraction, and accuracy metrics visualization.
Blind Assist - powered by YOLO
Real-time object detection system using YOLOv3 and OpenCV in Python. Converts detected object names into voice alerts using gTTS and Playsound, providing real-time spoken feedback for visually impaired users.
Agri-Bot: powered by Nvidia’s Jetson Nano
Real-time plant stress detection rover using Jetson Nano, integrating thermal imaging and LSTM+CNN for time-series analysis. Deployed for real-time inference and image processing.
Education
My academic background and qualifications
Bachelor of Technology in Computer Science and Engineering (AI & ML Specialization)
SRM Institute of Science and Technology, Kattankulathur (Jun 2022 - May 2026, Ongoing)
CGPA: 8.22
Coursework and research focused on Artificial Intelligence, Machine Learning, and Computer Vision. Leadership roles in student associations and active participation in research and innovation.
Grade 10 & Grade 12
The Hindu Colony Chellammal Vidyalaya Sr. Sec. School
Grade 10: 75.1% | Grade 12: 70.6%
Completed secondary and higher secondary education with a strong foundation in science and mathematics.
Get In Touch
Have a project in mind or want to discuss opportunities? I'd love to hear from you!