Samiksha BC
South Bend, Indiana +1-574-***-**** ***********@*****.***
LinkedIn: linkedin.com/in/samiksha-bc-9b8501241
SUMMARY
Highly motivated and passionate Computer Engineer seeking to enhance my expertise in AI and IoT through graduate studies and research. Eager to leverage my experience in teaching, projects, and research to drive innovation and contribute to impactful solutions. EDUCATION
MS Computer Science
Indiana University South Bend Aug-2023 to Present (Anticipated graduation in May 2025)
● Core Courses: AI,Hardware Design, Parallel Computing, Networking, Databases Bachelor of Science in Computer Engineering
Mid-Western University, Nepal CGPA: 3.02
● Core Courses: Computer Networks, AI, Web Development, Microprocessors, OS SCHOLARSHIPS
● Merit Based Scholarship 2021: Mid Western University
● International Student Fee Remission Scholarship 2024: IUSB SKILLS & EXPERTISE
● Programming: Python, C, C++, JavaScript, Flutter
● Embedded Systems: Microcontrollers (ESP32, ESP8266, Arduino, Raspberry Pi)
● AI/ML & Computer Vision: YOLO, OpenCV, Image Processing, Deep Learning
● Digital Design: Model SIM, Proteus, Arduino IDE
● Networking & Databases: SQL, MQTT, Client-Server, Virtualization
● Operating Systems: Linux (Ubuntu, Kali, parrot, mint), Windows
● Project Management: System Analysis, Design, and Implementation EXPERIENCE
Tutor & Website Manager
Indiana University South Bend Aug 2024 – Present
● Tutoring computer science students in programming, algorithms, and databases.
● Managing and updating the library's website to ensure functionality and accessibility.
Lecturer (Undergraduate – Computer Science)
1.College of Information Technology :Part time
2.Aryan Engineering College: Part time
Nov 2022 – July 2023
● Taught Operating Systems, Computer Architecture, C Programming.
● Supervised student projects involving microcontrollers and parallel computing.
● Provided insights into Linux systems, virtual machines. Embedded System Engineer: Internship
Nepal Digital System May 2022 – Oct 2022
● Developed MQTT-based data communication for sports tracking.
● Built a self-driving car using Raspberry Pi and computer vision.
● Implemented object detection using YOLO for computer vision.
● Designed digital systems with microcontrollers and sensors. PROJECTS & RESEARCH
● Hand Gesture Decoding: Researched AI-based gesture recognition (SVM, Neural Networks).
● Next-Word Prediction: Implemented LSTM, GRU, and Transformer models.
● Home Automation Systems: Built using Raspberry Pi, sensors, and actuators.
● Networking Mini-Projects: Developed client-server models using TCP-UDP.
● E-commerce Mobile App: Designed in Flutter (Dart) for UI/UX development.