I’m a motivated Mechanical & Automation Engineering graduate now pursuing an MSc in Advanced Manufacturing at TUC, with hands-on experience in CAD (CATIA, Fusion 360), prototyping, technical documentation and simulation (Ansys Fluent, CFD). I enjoy solving practical and research problems across renewable energy, e-mobility and vehicle technology, and I’m flexible, quick to learn, and open to any technical challenge—whether it’s design, simulation, lab work or contributing to research and publications.
[ 2022 – 2023 ]
AI-Based QR Enabled Pharmaceutical Dispenser
• Designed a dispenser that reads QR-coded prescriptions and dispenses medication accordingly. Presented at an International Conference and published in IEEE.
• Technology Used: Artificial Intelligence, Machine Learning, Raspberry Pi.
[ 2023 – 2024 ]
Development and Experimental Studies of a Light Vehicle Diesel After Treatment System With DOC, DPF and Urea SCR
• Conducted experimental studies on a diesel after-treatment system with DOC, DPF, and Urea SCR. Published in IOP Journal and presented at an International Conference.
[ 08/2022 – 12/2024 ]
Design and Development of Road Accident Alert System
• Developed a real-time system to enhance emergency response times, leveraging embedded systems.
•Provisionally accepted and will be published in the Scopus-indexed proceedings of ICIMME.
[ 2023 – 2024 ]
Optimization on Wear Test Parameters of Al7075 Bases Hybrid Metal Matrix Composites Using Taguchi Approach
• Developed Al7075 Hybrid Metal Matrix Composites (HMMCs) reinforced with 15 wt.% TiC and 1.5-5 wt.% MoS₂ via stir-casting to enhance mechanical and tribological properties.
•Characterized matrix and reinforcement distribution using SEM and EDAX; optimized wear test parameters (MoS₂ wt.%, sliding distance, velocity, load) using Taguchi and ANOVA.
•Achieved a 8.5 mg wear loss in the optimized composition, demonstrating improved strength, corrosion, and wear resistance.
[ 2023 – 2024 ]
Electric Go-Kart