About
I am an Electronics and Communication Engineering (ECE) undergraduate with hands-on experience in Artificial Intelligence, Computer Vision, Machine Learning, IoT, aspiring to build a career as an AI Engineer focused on real-world, scalable solutions. One of my key projects is “Defect Detection in Industrial Images”, where my team and I applied Digital Image Processing techniques to detect and visually highlight fabric defects in clothing datasets. The system successfully identified multiple defect categories and improved defect visualization for quality inspection. This project was recognized for its technical depth and selected among the top 5 projects in our class. During my second year, I worked on several IoT-based projects, including a Smart Blind Stick, Landslide Detection Model, and Room Environment Monitoring System. I also presented my Landslide Detection Model at Hackezee’24, gaining experience in competitive problem-solving and technical presentation. During the winter break between my 5th and 6th semesters, I completed a Winter Internship at Bharat Space Education Research Centre (BSERC) in association with ISRO. I gained exposure to aircraft design fundamentals, key parameters involved in aircraft construction, and aeronautical simulation software for aircraft visualization and performance analysis. To further strengthen my expertise, I completed a Specialization in Artificial Intelligence and Machine Learning with Drone Technology designed and delivered by IIT Hyderabad (TIHAN) from July 2025 to February 2026. The program covered the working principles of drones, including flight dynamics, control systems, and navigation, along with drone construction and architecture such as frames, propulsion systems, sensors, flight controllers, and power systems. I also learned about different types of drones, including multirotor, fixed-wing, and hybrid UAVs, and the integration of AI and ML with drone platforms for intelligent sensing and data-driven decision-making. The evaluation consisted of MCQs, MSQs, NATs, and coding-based exams across two mid-semester assessments and a comprehensive end-semester examination. I am motivated to apply my skills in AI, computer vision, intelligent systems, and autonomous platforms, and I am actively seeking opportunities to learn, build, and contribute to impactful engineering solutions.
Work experience
Winter Intern at Bharat Space Education Research Centre (भारत अंतरिक्ष शिक्षा अनुसंधान केंद्र ), Dec 2025 - Jan 2026 · 2 mos, Remote
Summer Intern at COLORHOME, Jul 2025 - Aug 2025 · 2 mos, Noida, Uttar Pradesh, India, • Conducted a comprehensive analysis of the end-to-end design and manufacturing lifecycle of a 9W DOB (Driver-On-Board) LED bulb, from component selection through final dispatch. • Acquired hands-on exposure to SMT operations, assembly workflows, quality assurance, ageing processes, and electrical safety validation, including lumen, surge, high-pot, glow-wire, and switching tests. • Collaborated with Design & Development and Production teams to document manufacturing workflows, BOM evaluations, and industry-compliant testing standards for commercial LED products.
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