Sikandar Bakht
NUST
· 2021
Academic
Program
BS EE
CGPA
3.22
Year
2021
Education
SEECS, NUST
Address
—
DOB
—
Career
Current role
Research Assistant at ROMI Lab, SEECS
Target role
—
Skills
Embedded C/C++, ARM, AVR Microprocessors, Verilog HDL, Intel Quartus, Embedded Systems, Machine Learning, ML, DL, Pytorch, Scikit-Learn, PLC, SCADA, Industrial Control
Interests / quote
I am an Electrical Engineer from SEECS, NUST, Class of 2021. I am interested in Embedded Systems, Deep Learning and Control Systems. I am a dedicated individual looking for industry experience while possibly providing a fresh insight towards solving problems. I like challenges and solving problems. I am adaptable, willing to learn and constantly on the look out for opportunities to self improve.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Sikandar Bakht skiani.bee17seecs@seecs.edu.pk www.linkedin.com/in/ sikandar-bakht I am an Electrical Engineer from SEECS, NUST, Class of 2021. I am interested in Embedded Systems, Deep Learning and Control Systems. I am a dedicated individual looking for industry experience while possibly providing a fresh insight towards solving problems. I like challenges and solving problems. I am adaptable, willing to learn and constantly on the look out for opportunities to self improve. SEECS, NUST (CGPA: 3.22/4.0) 2021 BS EE Punjab College of Science, Blue Area, Islamabad 2017 F. Sc SLS High School, G-11/4, Islamabad 2015 Matric Aug, 2020 Research Assistant at ROMI Lab, SEECS Present Research Assistant at Robotics and Machine Intelligence Lab at SEECS, NUST. Currently doing my Final Year Project on Smart Network Security Intern at RISC Lab, SEECS Jul, 2019 Oct, 2019 Research Intern at RISC Lab, SEECS. Completed projects on FPGA related to hardware developments and implementation of an ISA. Embedded Systems Embedded C/C++ for ARM and AVR Microprocessors Verilog HDL - Intel Quartus Embedded Systems Machine Learning ML and DL with libraries such as Pytorch and Scikit-Learn PLC and SCADA Industrial Control - Sponge examples to detect evasive intelligent malicious software. - RTOS based Fire Alarm System (ARM Cortex M4) - Implementation of MNIST classifying CNN on memory scant microcontroller (ARM Cortex M4) - Plant Pathological Classification using Deep Learning and Pytorch - Charity works with Al Khidmat Foundation and Chaddar Initiative. PGC 100% merit scholarship High Achiever scholarship in SLS. - Chaddar Initiative for Orphans.
AI enrichment
Sikandar Bakht is a 2021 Electrical Engineering graduate from SEECS, NUST, with a CGPA of 3.22. He has experience as a Research Assistant and Intern focusing on embedded systems, FPGA development, and deep learning applications.
Skills (AI)
["Embedded C/C++", "ARM Microprocessors", "AVR Microprocessors", "Verilog HDL", "Intel Quartus", "PyTorch", "Scikit-Learn", "PLC", "SCADA", "RTOS", "Deep Learning", "Machine Learning"]
Status: ai_done