Help & Supportcareers@gravityer.com
Software Engineer & Technical writer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Spidra.io
Data Scientist
June 21, 2026 – Present
AI-Powered-Learning-Management-System
April 15, 2026 – Present
AI-Powered LMS — Ollama + Mistral Demo A fully local AI Learning Management System. No cloud API keys required
View ProjectScraping_Load_More_Button_Data
October 1, 2024 – October 2, 2024
This repository shows you how to to scrape products from a page with infinite scroll via "Load more" button
View ProjectAgentic-RAG-LangChain
May 21, 2024 – July 29, 2024
Build an Agentic RAG application with LangChain
View ProjectPDF-Summarizer-Using-LangChain
December 11, 2023 – August 29, 2025
Building an LLM-Powered application to summarize PDF using LangChain, the PyPDFLoader module and Gradio for the frontend.
View ProjectFace-Landmarks-Recognition
January 20, 2023 – February 18, 2023
Face landmark recognition using PyTorch is used in computer vision and image processing to locate specific facial features, such as the eyes, nose, mouth, and jawline. This technique can be used for a variety of applications, including facial recognition, emotion detection, and head pose estimation.
View Projectmachine-language-detection
September 21, 2022 – September 25, 2022
Using machine learning for language detection
View ProjectApp-rating-scraper-with-python
September 13, 2022 – July 18, 2023
App-rating-scraper-with python (Slack App)
View ProjectKeyword-extraction-with-python
April 28, 2022 – April 28, 2022
Keyword Extraction using Python (RAKE, YAKE, PKE, KeyBERT, MultiRake, and TextRank)
View ProjectFake-News-Detection
April 11, 2022 – April 18, 2022
Fake News Detection with Python (Machine-learning)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data science, aligning well with a Data Scientist role. The diversity of personal projects suggests a curious and experimental mindset. However, the lack of team-based projects or professional experience details makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive learning approach and self-driven initiative.