Sr. Applications Engineer at Allegro MicroSystems
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Technical University of Munich
Master’s Degree, Communication Engineering
January 1, 2013 – January 1, 2016
Lahore University of Management Sciences
Bachelor’s Degree, Electrical, Electronics and Communications Engineering
January 1, 2010 – January 1, 2013
Beaconhouse School System
High School, Physical Sciences
January 1, 2009 – January 1, 2010
Allegro MicroSystems
Sr. Applications Engineer - Magnetic Sensors
October 1, 2016 – Present
Heidelberg Area, Germany · On-site
OSRAM
Working Student Top-view Person Detection using Fish eye Cameras
January 1, 2016 – October 1, 2016
Munich Area, Germany · On-site
Infineon Technologies
Working Student Silicon MEMS Development and Qualification
June 1, 2014 – October 1, 2015
Munich Area, Germany · On-site
Lahore University of Management Sciences
Research Assistant: Robustness of time reversal systems, Event detection an localization in WSNs
December 1, 2012 – September 1, 2013
Lahore University of Management Sciences
Teaching Assistant: Introductory Electronics Lab, Calculus 1
August 1, 2011 – July 1, 2013
Masters Thesis: Software Implementation of Error Correction Codes for Physical Unclonable Functions
October 1, 2015 – Present
Physical Unclonable Functions (PUFs) have found applications as central building blocks of many cryptographic and security architectures. PUFs are functions that exhibit a challenge/response behavior. When called with a challenge, a PUF produces a response which depends on uncontrollable manufacturing variations of the physical device. Since the inherent manufacturing variations are hard to clone, the PUF response is a unique and device specific fingerprint. This property of PUFs allows them to be used in various security applications including device authentication and secure key generation. Most security applications require the PUF response to be robust. Unfortunately this is not the case since all proposed PUF implementations are inherently noisy in nature. This means that PUF responses to the same challenge slightly vary with each instantiation. These variations appear as errors in the PUF output which must be corrected by appropriate error correction mechanisms. In this thesis, the problem of recovering unique, error-free sequences from noisy PUF outputs through software implementations of error correction codes was examined. Firstly, the focus is on selection of codes which provide good rates and low error probabilities. The theoretical background and performance analysis of high, multiple error correcting codes including BCH and convolutional codes is presented in detail. An implementation and analysis of their performance on the software platform of XMC1100 microcontrollers is studied and results are optimized for execution time and memory.
Motivating and Engaging Employees
June 24, 2026 – Present
Leading Productive Meetings
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in Electrical Engineering, Communication Engineering, and embedded systems, with significant academic and research experience. While there are elements of data processing and analysis (e.g., WSN event detection, performance analysis in Matlab), the primary focus has been on hardware, signal processing, and low-level software. The target role of 'Data Analyst' requires a strong emphasis on statistical analysis, data visualization, database management, and business intelligence tools, which are not prominently featured in the candidate's profile. The project diversity is high within the engineering domain, but less so in typical data analyst tools and methodologies. This suggests a potential mismatch with the typical cultural expectations of a data analyst role, which often involves more business-oriented data interpretation and less low-level system design.
Soft Skills & Operational Fit
The candidate's experience as a Research Assistant and Working Student suggests an ability to collaborate with researchers, document findings, and present results, indicating good communication and teamwork skills. The project descriptions show a structured approach to problem-solving and experimentation. However, the provided data does not offer direct insights into stress handling or team collaboration beyond project involvement.