
Tech Leadership with 8.5+ years of experience building scalable distributed systems and leading engineering teams in global e-commerce and AI-powered products.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
temporal_graph_rag
February 15, 2026 – Present
Time-aware knowledge graphs for RAG with temporal reasoning
View ProjectPythonDSAInterviewPrep
February 15, 2026 – Present
A curated set of Python and data-structures/algorithms (DSA) resources designed for technical interviews. This repo is meant to be used as a practice workbook: you solve the questions in the notebooks, then compare against compact and detailed model solutions and reference implementations.
View Projectwarehouse_monitoring_system
January 11, 2026 – Present
warehouse_monitoring_system — GitHub repository
View Projectai_powered_returns_warranty_intelligence_platform
December 29, 2025 – Present
ai_powered_returns_warranty_intelligence_platform — GitHub repository
View Projectdocument_assistant
December 2, 2025 – December 5, 2025
document_assistant — GitHub repository
View Projecttest-image-service
November 16, 2025 – November 24, 2025
test-image-service — GitHub repository
View Projectsakila-code-analyzer
November 14, 2025 – November 19, 2025
sakila-code-analyzer — GitHub repository
View ProjectAngular2FootballMatch
February 6, 2017 – February 14, 2017
Angular2FootballMatch — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and data-related fields, which aligns with a Data Scientist role. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The diversity of projects (e.g., Angular, Java) suggests a broad technical curiosity, but also a potential lack of deep specialization in data science specific tools beyond Python.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.