Ph.D. Northeastern University (Deep Learning, Signal Processing) · B.S. Tufts University '17 - Electrical Engineering · Robert College '13
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD Candidate at Northeastern University
Software Engineer
June 25, 2026 – Present
TMSEEG
August 19, 2018 – May 13, 2019
Removing the large TMS artifacts that cover on the EEG signals.
View ProjectDijkstra-s-Algorithm-
June 30, 2018 – June 30, 2018
Creates a program that finds the shortest path through a graph using its edges.
View ProjectParticleSwarmOptimization
April 2, 2018 – April 2, 2018
ParticleSwarmOptimization — GitHub repository
View ProjectMultilayerPerceptron_MNIST_Classifier
March 19, 2018 – March 19, 2018
A multilayer perceptron to classify MNIST dataset.
View ProjectModernSignalProcessingAlgorithms
March 16, 2018 – March 16, 2018
This repository consists of implementations of Levinson Algorithm, Reverse Levinson Algorithm and Schur Algorithm
View ProjectCryptocurrency_Price_Prediction
February 16, 2018 – September 9, 2018
Predicts the Bitcoin, Ethereum, IOTA and Tron prices.
View ProjectAutocompletion-and-Autocorrection-for-Chat-Applications
January 26, 2018 – January 29, 2018
It predicts the next word based on the last a few characters to expedite the typing process as well as autocorrecting the misspelled words. Trained with an LSTM model.
View ProjectRemoval-of-Ocular-Artifacts-from-EEG-Signals
September 20, 2017 – October 19, 2017
Ocular Artifacts Removal in EEG Signals Using Extended-Infomax-ICA
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic and research-oriented tasks, primarily in signal processing and machine learning using Python. While this demonstrates strong technical depth in specific areas, the lack of diverse project types (e.g., web development, distributed systems, cloud computing) and team-based experience makes it difficult to fully assess cultural fit for a general 'Software Engineer' role in a typical industry setting. The current role as a PhD Candidate aligns with a research-heavy environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience as a PhD Candidate suggests a capacity for research and problem-solving, but direct evidence of collaboration, communication, or project management in a team setting is not available.