
Crafting data-driven solutions with code and creativity. ✨
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SocietyOS-AI
June 9, 2026 – Present
AI-powered housing society management - complaints, services, rules & community in one app
View Projectagrilink-ml
April 9, 2026 – Present
AgriLink AI is a mobile-first platform that connects rural farmers directly to bulk buyers using AI-powered quality assessment and real-time market forecasting to ensure fair pricing and a transparent supply chain.
View ProjectBrand-Reputation-Agent
January 6, 2026 – Present
Brand-Reputation-Agent — GitHub repository
View ProjectAI-Resume-Screener
December 23, 2025 – Present
built a simple resume screnner using Python and Llama 3 with Ollama showing how LLMs can help turn unstructured resume data into useful information for making rapid decisions.
View Projectcid-mystery-engine
December 23, 2025 – Present
a simple project made using tkinter and pygame, created out of my enthusiasm for cid
View ProjectZarfo
October 20, 2025 – Present
AI-powered platform that manages surplus food using a Redistribution Classifier, Price Predictor, and Route Optimizer to reduce food waste and improve accessibility.
View ProjectOutlier_Sentiment
October 9, 2025 – October 9, 2025
Outlier_Sentiment — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and problem-solving, which aligns well with an innovative and data-driven culture. However, all projects are personal, indicating a lack of documented team collaboration experience. The diversity of project applications (housing, agriculture, food waste, brand reputation) suggests adaptability and a broad interest in applying AI to real-world problems. The absence of formal education or work experience makes it difficult to fully assess cultural fit beyond project interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and a problem-solving mindset, but direct evidence of collaboration, communication, or stress handling is absent.