Industry
SoC Functional Validation Engineer
Intel · Austin, TX · November 2023 - November 2024- Framework development: Developed features using Python for an internal post-silicon validation tool capable of automatically generating random, reproducible (seeded), multi-threaded (taskset), multi-workload (OS-based) tests for validating Intel’s Granite Rapids and Sierra Forest SoCs before products reach PRQ.
- Debug: Triaged and categorized every failure to an SoC, platform or software issue, and communicated with appropriate teams to find a resolution.
- Tracking: Utilized Jira for reporting issues, tracking progress and requesting lab assistance with test platforms.
- Training: Hosted multiple training sessions on test development, tool usage and debug.
(To read my verification of employment letter, click here.)
System Validation Engineer
Intel · Austin, TX · August 2021 - November 2023- Content development: Leveraged internal and open-source applications (FIO, POVRay, etc.), and built multiple binaries using internal versions of open-source compilers (GCC and ICX) for maximizing test coverage and finding bugs in Intel’s Sapphire Rapids and Emerald Rapids SoCs.
- Containerization: Containerized test applications for production and debugged failures inside containers using Docker and Containerd.
- Infrastructure development: Configured multiple nodes using SSH to run MPI workloads like GROMACS on bare-metal by connecting systems via InfiniBand NICs.
- Support: Engaged with internal customers to help with content enablement and feature requests (supporting new products, adding new workloads, updating run configurations, etc.) for aiding in the validation efforts of LTR products such as Intel’s Broadwell (Xeon D) and Skylake SoCs as well as client products such as Intel’s Meteor Lake SoCs.
- Documentation: Enabled automatic code documentation generation using Sphinx and GitHub Actions, and created detailed enterprise wiki entries (user manual, debug manual, release notes, etc.) to help developers and internal customers understand tool usage.
Associate Curriculum Developer
SureStart · New York, NY · April 2021 - August 2021- SureStart arranges programs to teach high-school and undergraduate students the concepts of machine learning and artificial intelligence.
- Collaborated with peers to design the curriculum for the summer program, which was in collaboration with MIT Media Lab.
Mentor
SureStart · New York, NY · March 2021 - April 2021- The Future Makers AI program was a week-long program for middle-schoolers organized by SureStart in collaboration with MIT Media Lab.
- Paired up with a middle school teacher to teach the Creativity and AI module by leveraging a rich set of tools and learning materials provided by MIT Media Lab.
Machine Learning Mentor
SureStart · New York, NY · February 2021 - March 2021- The VAIL program was a spring internship organized by SureStart.
- Mentored high-school and undergraduate students with different educational backgrounds and programming experiences in Machine Learning and Deep Learning.
Scholar
Affectiva · Boston, MA · July 2020 - August 2020- The EMPath 2020 program was a summer internship organized by Affectiva.
- Mentored a group of undergraduate and high-school students who were new to ML/DL and affective computing in Phase-1 of the program.
- Managed a different group of young students who developed an emotion AI solution for the Makeathon competition in Phase-2 of the program.
Academia
Graduate Research Assistant
Texas State University · San Marcos, TX · June 2019 - August 2019- Mass-produced an automatic recording devices (ARD) which was used to track Houston Toads.
- Used Raspberry Pi 3 for processing the audio signals that were recorded using a USB microphone.
- Used Witty Pi 2 to manage the power consumption of the Raspberry Pi, with power supplied by a 12 V battery connected to a 35 W PV solar cell.
- ARD was scheduled to record audio for 10 minutes every hour for seven hours per day and send notifications if Houston toads were detected using email and SMS through a USB cellular modem.
Graduate Instructional Assistant
Texas State University · San Marcos, TX · August 2018 - December 2020Assisted students with laboratory experiments and graded their assignments. The course list includes:
- Analog and Mixed-Signal Design · Microprocessor · Probability, Random Variables, & Stochastic Process for Engineers · Numerical and Scientific Data Analysis using Python
Highschool Teacher
Green Hill International School & College · Moulvibazar, Sylhet · February 2018 - May 2018Back in 2018, Green Hill was the only English-medium school in Moulvibazar. I was working there as a part-time teacher for 8th and 9th grade students. I mainly taught Mathematics and Physics, but occasionally taught other subjects like Chemistry and Biology.