Student At Thapar Institute of Engineering and Technology | A passionate speaker and an aspiring coder
I am a passionate learner and an enthusiastic, extroverted individual who loves connecting with people to gain diverse perspectives on life. As an Electronics and Communication Engineering (ECE) student, I am exploring both core electronics and the expanding world of data science and machine learning. My curiosity drives me to not only strengthen my foundation in electronic circuits, digital systems, and embedded design but also to build skills in programming, AI, and GPU acceleration for real-world problem-solving. Beyond academics, I enjoy engaging in conversations, leadership activities, and non-scholastic pursuits that help me grow both personally and professionally. With a blend of technical expertise and interpersonal strengths, I aspire to contribute to innovative projects that bridge the gap between hardware and software.
THAPAR INSTITUTE COUNSELLING CELL
1 yr 7 mos
Self-employed
11 yrs 5 mos
Delhi Public School Ghaziabad Vasundhara
1 yr 2 mos · India
Delhi Public School Ghaziabad Vasundhara
1 yr 2 mos · India
Delhi Public School Ghaziabad Vasundhara
2 yrs 11 mos · India
Bachelor of Engineering - BE, Electronics
Jul 2024 - Jul 2028
High School Diploma
Jun 2017 - Jun 2023
Advanced Excel with AI Certification Course, Advanced Excel with AI
Aug 2025 - Sep 2025
B.Tech, Electronics & Communication Engineering
Expected graduation: 2028
Relevant coursework: Digital Electronics, Signals & Systems, C Programming, Data Structures (Basics)
Implemented an AND-gated JK master–slave flip-flop with asynchronous preset and clear based on IC 74x72. Developed behavioral and structural Verilog models, verified them using testbenches, and synthesized and tested the design on FPGA hardware with pin-compatible implementation.
Implemented half adder, full adder, ripple-carry adder, multiplexers, ALU, and shift registers. Designed behavioral and structural models with corresponding testbenches and verified functionality through simulation and waveform analysis.
Built a customer segmentation model using unsupervised learning techniques, including data preprocessing and clustering to derive meaningful insights.
Developed a crack detection system for image-based classification and applied preprocessing and model evaluation for surface crack identification.
Mental Health Society