really like bare-metal stuff amongst others
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VISTRA Global
Embedded Systems Engineer
June 16, 2026 – Present
icarus-os-core
January 24, 2026 – Present
Intelligent Certifiable Autonomous Real-time Unified System - An AI-native, real-time kernel for Cortex-M supporting DO-178C guidelines by design
View Projectnaive-dqn-maze
July 27, 2020 – August 15, 2020
Maze Solver from scratch (under 260 lines) using Naive Reinforcement Learning with Q-Table construction
View ProjectRoomNet
June 23, 2019 – September 5, 2020
A lightweight ConvNet (~700 KB) to classify pictures of different rooms of a house/apartment with 88.9 % accuracy
View ProjectSHMatrix
June 21, 2017 – June 24, 2017
A neat C++ custom Matrix class to perform super-fast GPU (or CPU) powered Matrix/Vector computations with minimal code, leveraging the power of cuBLAS where applicable.
View ProjectCPU-Connected-Component-Labelling
April 12, 2017 – April 12, 2017
This is a fast custom algorithm having O(n) linear time & O(n) memory complexity implemented on the CPU for solving the famous connected component labelling problem. The algorithm implemented here, takes the image and the label of the connected region and spits out the number of such regions in the image.
View ProjectSHM-Learn
March 18, 2017 – July 22, 2017
A CUDA & cuDNN powered Deep Learning C++ Library with clean interface and faster training speed (6x more over Caffe)
View ProjectLens-Smear-Detection
March 1, 2017 – March 1, 2017
Python implementation of a Computer Vision algorithm to automatically extract lens smear regions from a batch of input images.
View ProjectLink-State-Routing-Simulator-CS-542
November 22, 2016 – March 9, 2017
A C++ simulator to simulate Link State Routing protocols used in Computer Networks
View ProjectCUDA-Connected-Component-Labelling
May 22, 2016 – February 11, 2018
Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect connected regions in binary digital images
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on individual technical challenges, indicating a strong drive for self-directed learning and problem-solving. However, the lack of team-based projects or explicit collaboration details makes it difficult to assess cultural fit regarding teamwork and interpersonal dynamics. The current role as 'Embedded Systems Engineer' aligns well with the target role, but the 'experienceLevel' is 0, suggesting this is a very recent or upcoming role, limiting insights into professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approach, or communication style in a team setting.