Help & Supportcareers@gravityer.com
👋 Developing Full Stack applications and AI tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lockheed Martin
Data Scientist
June 29, 2026 – Present
ml_todo_app
November 24, 2024 – November 24, 2024
Developer-centered To Do app with simple interface that recommends links to relevant sources containing information about your task.
View ProjectLogic_and_Classical_Planning
June 12, 2024 – June 12, 2024
This project involves creating Python-based logical agents to solve planning, localization, mapping, and SLAM tasks in Pacman. Using logical sentences and a SAT solver (pycosat), we generate action sequences, determine Pacman’s location, build maps, and perform simultaneous localization and mapping.
View ProjectSynthetic_Data_for_LLM_De-Biasing
June 7, 2024 – June 7, 2024
This proposal addresses biases in Large Language Models (LLMs) by generating high-quality, low-bias synthetic data using advanced models like GPT-4. This initiative calls for tools and resources for small companies to train ethical LLMs, promoting the development of more equitable and responsible AI systems.
View ProjectMulti-Agent_Search_Pacman
June 6, 2024 – June 6, 2024
Reflex Agent Improvement, Minimax Search, Alpha-Beta Pruning, Expectimax Search, Custom Evaluation Function for Pacman.
View ProjectCandlestickPatternDetector_GUI
May 23, 2024 – May 23, 2024
Windows Forms Application project designed to allow users to pick multiple stocks and display their candlestick charts.
View ProjectLamport_Signature_Scheme
May 16, 2024 – May 16, 2024
This project implements the Lamport Digital Signature Scheme, a method for signing and verifying digital messages using one-time signature keys. The scheme involves three programs: KeyGen, Sign, and Verify.
View ProjectecomAssistant
May 9, 2024 – October 16, 2024
Generates aggregated pricing and a marketable description for items users wish to sell. These values are based on real e-commerce data, and optimally generated with RAG.
View ProjectAI_DeepLearning
March 22, 2024 – May 30, 2024
Analysis of the Olivetti Faces dataset using various machine learning and deep learning methods. Along with sentiment analysis of the IMDB Movie Review Dataset employing models ranging from Naive Bayes to Recurrent Neural Networks (RNNs), including data augmentation techniques.
View ProjectALT
November 15, 2023 – August 13, 2024
This project aims to bridge the gap between the ancient and the modern world by translating the Hittite language into English using Natural Language Processing (NLP) and machine learning techniques.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse areas within AI and data science, from e-commerce to ancient language translation and cybersecurity (Lamport Signature Scheme). This breadth suggests intellectual curiosity and adaptability. The focus on ethical AI aligns with modern industry values. However, the candidate's experience level is listed as 0, and the only listed experience is a future role at Lockheed Martin, making it difficult to assess cultural fit based on past professional interactions. The projects are all personal, which is good for demonstrating initiative but doesn't provide insight into team collaboration or corporate environment fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving mindset. The focus on ethical AI (Synthetic_Data_for_LLM_De-Biasing) suggests an awareness of broader societal impacts, which is a positive for operational fit. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.