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AI Engineer with less than a year in AI, Machine Learning & IoT systems
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Assessing your cultural and operational fit
Computer Science and Engineering (IoT) graduate with research experience at the National University of Singapore and hands-on experience in AI, computer vision, IoT systems, and cloud-based applications. Skilled in Python, FastAPI, OpenCV, and machine learning through internships and real-world projects. Interested in building AI-driven healthcare, automation, and intelligent monitoring systems.
B.S. Abdur Rahman Crescent Institute of Science & Technology
B.Tech · Computer Science and Engineering (IoT)
August 1, 2022 – June 30, 2026
Velammal Vidhyashram
HIGHER SECONDARY EDUCATION
June 1, 2021 – May 31, 2022
Syncorb
AI Engineer
June 1, 2025 – August 1, 2025
Chennai, Tamil Nadu, India
National University of Singapore
Research Intern
April 1, 2025 – August 1, 2025
Singapore
NUS & AWS
Academic Internship
December 1, 2024 – January 1, 2025
Singapore
Citraverse - Vision-Based Smart Elderly Monitoring System
June 1, 2026 – Present
Developed a vision-based elderly monitoring system for healthcare environments. Implemented fall detection and activity tracking using OpenCV and MediaPipe. Built backend APIs for event logging and alert management. Integrated IoT sensors with dashboard-based monitoring.
Adversarial RAG Hallucination Detector
June 1, 2026 – Present
Developed a dual-agent RAG pipeline for response verification. Implemented claim-level groundedness scoring and hallucination detection. Integrated vector retrieval and citation generation workflows. Deployed a full-stack application with React and Vercel.
Solar Pulse - IoT-Based Solar Power Monitoring System
June 1, 2026 – Present
Developed an IoT-based solar power monitoring system. Integrated sensors for environmental and energy data collection. Built cloud-based monitoring and analytics workflows. Implemented predictive maintenance and performance tracking features.
Quantum-AI Collision Avoidance in Space Debris Management
June 1, 2026 – Present
Developed a satellite collision detection and orbital risk analysis system. Implemented QAOA-based optimization for collision avoidance. Built graph-based simulations for satellite coordination. Evaluated quantum and classical optimization approaches.
AuraScholar - AI-Powered Research Assistant
June 1, 2026 – Present
Developed an AI-powered research assistant for academic literature analysis. Integrated arXiv and Gemini APIs for paper discovery and summarization. Built paper comparison and literature review generation workflows. Developed REST APIs and research workspace features.
INVENTRA - Inventory Analytics Platform
June 1, 2026 – Present
Developed an inventory analytics platform for forecasting and optimization. Implemented SARIMA-based demand prediction models. Built cloud-integrated analytics workflows using AWS services. Developed SQL-based data processing and reporting pipelines.
AWS SageMaker AI Certification
Amazon Web Service
June 1, 2026 – Present
Big Data Analytics and Deep Learning
National University of Singapore
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover a wide range of applications, from quantum AI for space debris to vision-based elderly monitoring and RAG systems, indicating a broad interest and adaptability. The internships at NUS and Syncorb, along with the AWS certification, show a proactive approach to learning and professional development. The leadership role in a student council suggests a collaborative and engaged individual, which generally aligns well with team-oriented environments. The focus on AI-driven healthcare, automation, and intelligent monitoring systems aligns with innovative and impactful work, suggesting a good cultural fit for forward-thinking organizations.
Soft Skills & Operational Fit
The candidate's leadership experience as President of the Student Council indicates strong organizational, coordination, and team collaboration skills. The project descriptions suggest an ability to work on complex, multi-faceted problems, which aligns with the demands of an AI Engineer role. The academic background in IoT further suggests a practical, systems-oriented approach to problem-solving.