Help & Supportcareers@gravityer.com
Product owner/Technical Coordinator at Ericsson
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The idea was never to live forever, The idea is to create something that will.
Blekinge Institute of Technology
Master's degree, Computer Science
January 1, 2016 – January 1, 2017
Jawaharlal Nehru Technological University
Bachelor of Technology (B.Tech.), Computer Science
January 1, 2012 – January 1, 2016
Ericsson
Product owner/Technical Coordinator
September 1, 2021 – Present
Ericsson
PD Baseband Developer(Machine Learning & 5G)
August 1, 2017 – August 1, 2021
Eliq
Master Thesis Researcher(Deep Learning)
February 1, 2017 – July 1, 2017
Greater Gothenburg Metropolitan Area
Supervised Learning(Classification of Algorithms)
December 1, 2016 – January 1, 2017
I implemented 3 classification algorithms like Random forest, Decision tree and Logistic regression on a data set and accordingly calculated accuracy, F-measure and training time. I performed even Freidman and Nemenyi test on these algorithms. This I implemented on R platform.
Machine learning
November 1, 2016 – December 1, 2016
I have done research in this field regarding deep neural networks and image classification. I have written the code on least general generalization for a set of instances and found least general conjunctive generalization of two conjunctions. This was implemented in python.
Artificial Intelligence (Wumpus Game)
October 1, 2016 – November 1, 2016
I have designed an agent in which it plays against an AI in WUMPUS game. It was done by using reinforcement learning techniques. To be precise Q-learning which is a part of machine learning. I have done this on java platform.
Artificial intelligence (Kalaha game)
September 1, 2016 – October 1, 2016
In this project, we designed a fully functional agent which plays against AI. We made sure that this is being done by using alpha-beta pruning algorithm for a depth of 10. This is being implemented on java platform.
P-Threads
June 1, 2016 – July 1, 2017
In this project, I implemented a parallel program which I have written for the Gaussian sequence and compared it with the sequential version of the Gaussian version. This was done by using p-threads. I have written the code in C language.
Screen-Shot As Service
April 1, 2016 – May 1, 2016
Screen shots are being saved but not images and videos. This is being implemented with the help of node.js. We see that for completing this one the saving of the URLS is being done in MongoDB. We implemented this in javascript and PHP.
TAC-GAME
February 1, 2016 – March 1, 2016
In this project, we designed a fully functional agent in a game. In this game we device the strategy for the flights, hotels and entertainment. This is done in java platform.
Leadership in Hybrid Work team
Ericsson
June 24, 2026 – Present
Data Science for Managers
Ericsson
June 24, 2026 – Present
Global Tech Talent 2022
Ericsson
June 24, 2026 – Present
Deep Learning Nano-Degree
Udacity
June 24, 2026 – Present
Machine learning
Stanford University
June 24, 2026 – Present
participated in microsoft code hunt challenge
United Latino Students Association
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project history shows a strong academic and research focus, particularly in AI and Machine Learning. While there's a project involving Node.js and MongoDB, the overall profile leans heavily towards backend, data science, and AI/ML rather than frontend development. This indicates a potential mismatch with the 'Frontend Developer' target role, suggesting a lower cultural fit for a dedicated frontend position.
Soft Skills & Operational Fit
The candidate's experience as a Product Owner/Technical Coordinator suggests leadership, communication, and project management skills. The diverse project portfolio indicates problem-solving abilities and adaptability. However, without specific assessment data, a detailed operational fit analysis is limited.