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AI Engineer with less than a year in Production-Grade ML Systems & Backend Services
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AI/ML Engineer and Software Developer with hands-on experience in building, deploying, and scaling production-grade machine learning systems and backend services. Strong background in time-series modeling, predictive maintenance, and deep learning using Python, TensorFlow, Scikit-learn, XGBoost, and LightGBM. Experienced in designing low-latency REST APIs, cloud deployments, and asynchronous task pipelines using FastAPI, Flask, Docker, and PostgreSQL.
The Gandhigram Rural Institute
Master of Computer Applications
August 1, 2023 – June 30, 2025
Government Arts College (Autonomous), Karur
B.Sc. · Mathematics
August 1, 2020 – June 30, 2023
Zaalima Development Pvt. Ltd
Data Science & Machine Learning Intern
December 1, 2025 – February 28, 2026
India
FactoryGuard AI | IoT Predictive Maintenance Engine
December 1, 2025 – February 28, 2026
Designed and deployed a real-time machine learning system to predict catastrophic robotic arm failures 24 hours in advance using time-series sensor data. Engineered rolling window and lag-based features and trained XGBoost and LightGBM models, optimizing extreme class imbalance using PR-AUC metrics. Integrated SHAP-based explainability to provide transparent insights for maintenance teams. Deployed a low-latency Flask REST API achieving sub-50ms inference, reducing downtime and enabling proactive maintenance at scale. Tools used: Python, XGBoost, LightGBM, NumPy, Pandas, Optuna, Flask, REST APIs.
Coupling Anomaly Detection & RUL Prediction System
September 1, 2025 – October 31, 2025
Developed a predictive maintenance system for industrial couplings using real-time sensor data. Implemented anomaly detection models and Remaining Useful Life (RUL) prediction to improve equipment reliability. Built and deployed scalable RESTful services using FastAPI for real-time monitoring and prediction delivery. Tools used: Python, NumPy, Pandas, Scikit-learn, FastAPI.
Scalable Product Importer Platform
July 1, 2025 – August 31, 2025
Built a production-grade web platform capable of importing over 500K CSV product records using asynchronous workers (Celery + Redis). Designed real-time upload progress tracking, SKU-based idempotent upserts, and a full CRUD management dashboard. Implemented bulk delete workflows and configurable webhooks for external system integrations. Deployed cloud-based infrastructure using PostgreSQL, Docker, and REST APIs for scalable performance. Tools used: Python, FastAPI, SQLAlchemy, PostgreSQL, Celery, Redis, Docker, HTML, REST APIs.
Classification of Breast Cancer based on Feature Extraction and Selection using Support Vector Machines (SVM)
January 1, 2025 – April 30, 2025
Designed and implemented a supervised ML pipeline for breast cancer detection using SVM on mammogram image features. Applied PCA for dimensionality reduction, improving model generalization and reducing computational overhead. Achieved 98% accuracy and validated results using confusion matrix and precision-recall metrics. Tools used: Python, Scikit-learn, NumPy, Pandas, Google Colab.
Mobile Application for Breast Cancer Classification using Deep Learning
June 1, 2024 – November 30, 2024
Built a deep learning-based mobile application using CNNs for breast cancer detection from medical images. Designed a user-friendly Android interface for real-time image upload and prediction visualization for physicians and patients. Integrated TensorFlow model inference on-device for efficient and accurate predictions. Tools used: Python, TensorFlow, NumPy, Pandas, Google Colab, Android Studio.
Smart Ticketing System
June 1, 2024 – November 30, 2024
Implemented a smart ticketing system using RFID technology to automate and enhance the ticketing process for public transport (train). Tools used: IoT, RFID, Twilio.
Smart Irrigation System
June 1, 2024 – November 30, 2024
Developed an IoT-based irrigation system using soil moisture, temperature, and humidity sensors to optimize water usage. Tools used: IoT, Sensors.
Pet Shop Management System
January 1, 2024 – April 30, 2024
Developed a desktop application for managing inventory, customer records, and billing workflows using Java Swing and MS Access. Tools used: Java, Java Swing, MS Access.
Senior Level Certification in English Typewriting
Unknown
June 1, 2026 – Present
AWS Cloud Quest: Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
The Joy of Computing Using Python
SWAYAM-NPTEL
June 1, 2026 – Present
Data Structures and Algorithms Using Java
SWAYAM-NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying AI/ML to real-world problems, including industrial IoT and healthcare. The academic projects show a breadth of interest beyond core ML, including IoT and basic software development. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical skills and project focus. The mix of professional and academic projects, along with certifications, indicates a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, design scalable solutions, and integrate explainability (SHAP). The internship experience suggests collaboration and task delivery within deadlines. The hackathon achievement points to problem-solving skills and initiative.