Full Stack Engineer @datawars-io & AI Specialist | Python (Django/FastAPI), Web3 & Azure Cloud | Building Scalable SaaS Architectures | ex-Data Science Lead
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DataWars
Data Scientist
June 20, 2026 – Present
lore
December 8, 2025 – Present
Decentralized IP asset management platform on Story Protocol with AI-powered content generation
View Project100DaysOfAIEngineer
November 13, 2025 – November 13, 2025
A 100-day project-driven roadmap to becoming an AI Engineer with hands-on projects
View Projectai_interview
July 26, 2025 – July 31, 2025
A job interview preparation platform powered by Vapi AI Voice agents
View ProjectHuman_Action_Recognition
July 17, 2024 – July 17, 2024
Part-based Graph Convolutional Network (PB-GCN) for action recognition on UCF50 dataset
View ProjectStartSphere
May 22, 2024 – October 4, 2024
Startup ecosystem platform with mentorship, networking, and investor matchmaking
View ProjectCaptivateCartoon
March 28, 2023 – April 27, 2023
Web app that extracts image details and generates captions and stories using AI
View Project50-Days-Data-Science
January 5, 2023 – June 9, 2024
A 50-Day Guide to Becoming a Data Scientist with Python, SQL, and Machine Learning
View ProjectEcommerce-API
April 11, 2022 – October 22, 2022
RESTful e-commerce API built with Django REST Framework
View Projecttodo_list
January 6, 2022 – January 12, 2022
Todo list web app with user authentication built in Django
View ProjectAnurag_Verma
June 29, 2021 – October 24, 2021
Personal portfolio website built with HTML, CSS, and JavaScript
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and project-based development, which can be a positive cultural fit for dynamic environments. However, the projects are predominantly personal and lack team collaboration indicators. The current experience at DataWars is listed as current with no start date, making it difficult to assess real-world team contributions or professional work ethic. The diversity of projects, while broad, sometimes deviates from a core Data Scientist focus (e.g., web development projects like 'StartSphere', 'Anurag_Verma').
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.