Welcome to My Professional Journey
Computer Science & Electrical Engineering Student | AI Engineer | Future Innovator
Computer Science & Electrical Engineering Student | AI Engineer | Future Innovator
To become a leading AI Engineer and Electrical Engineer specializing in intelligent systems, machine learning applications, and embedded AI solutions. I aim to bridge the gap between cutting-edge AI research and practical engineering applications.
Developing cutting-edge AI solutions, machine learning models, and intelligent embedded systems. Specializing in neural networks, computer vision, and real-time AI applications for industrial and research applications.
Working towards creating scalable AI solutions that can be implemented across industries, from healthcare and biotechnology to manufacturing and automation, driving innovation and efficiency on a global scale.
The Pennsylvania State University
Minor in Mathematics & AI Engineering
GPA: 3.6/4.0
Expected Graduation: December 2026
Deep learning architectures, backpropagation, and neural network optimization
AI implementation on embedded platforms and real-time processing
Advanced algorithms, complexity analysis, and efficient data structures
Analog and digital circuit design, simulation, and analysis
Computer architecture, processor design, and system organization
OS kernel development, process management, and system programming
1st Place - AI Course Scheduler and Advisor Project
Qualified for FIRST Robotics World Championship
President - Institute of Electrical and Electronics Engineers
IBM - Philadelphia, PA
E-Bio-E Laboratory - State College, PA
President (March 2024 - Present)
Led an 8-person executive board for a 150+ member chapter, managing multiple teams and committees. Started a new design initiative, securing $5,000 in corporate sponsorship for a university-wide robotics competition.
Project Management & Innovation
Spearheaded technical initiatives and competitions, fostering innovation and collaboration among engineering students while building industry partnerships.
University-wide Robotics Competition
Organized and managed university-wide robotics competition, securing corporate sponsorship and coordinating technical challenges for student teams.
Ongoing - September 2025 - Present
Engineered smart soldering station with integrated fume extraction, automated PCB positioning, and adaptive lighting, reducing setup time by 60% and improving workspace ergonomics. Implemented real-time hand gesture recognition using OpenCV and MediaPipe, enabling touchless control of 5 station functions with 94% gesture classification accuracy.
January 2025 – April 2025
Designed 5-stage pipelined MIPS processor in Verilog (IF/ID/EX/MEM/WB) supporting 30+ R-type, I-type, and J-type instructions with full hazard detection and data forwarding logic. Implemented branch predictor and forwarding unit, reducing pipeline stalls by 65% and achieving 3.8x speedup over single-cycle baseline on sorting and matrix multiplication benchmarks.
March 2024
Architected a full-stack web application using a React frontend and Flask backend that leverages OpenAI GPT-4 API to provide students with personalized, AI-driven course registration roadmaps. Deployed application on AWS (EC2, RDS, S3) with 99.9% uptime, winning 1st place at HackPSU Spring 2024 among 50+ competing teams for technical execution and user impact.
Ongoing Research
Developed Python-based data acquisition interface for electrochemical glucose biosensors, achieving 1000+ samples/hour throughput with 99.3% accuracy using custom signal processing algorithms. Implemented LSTM-based predictive model using TensorFlow to forecast sensor degradation with 89% accuracy, enabling proactive maintenance and extending sensor lifetime by average of 2 weeks.
Final Project Demo
Complete demonstration of the smart soldering station with gesture recognition, automated positioning, and integrated fume extraction system