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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AutoMind
May 6, 2026 – Present
AutoMind is a smart automation app that learns your habits and adapts your phone to help you stay focused. It blocks distractions, suggests better routines, and optimizes your daily workflow—turning your device into an intelligent system that works for you, not against you.
View ProjectTrain-Consist-Management-App
April 9, 2026 – Present
Console-based Java application that simulates railway train consist management, handling passenger and goods bogies, seating capacity, cargo validation, safety compliance, sorting, filtering, grouping, and train formation using Java Collections, Streams, Regex, and OOP concepts.
View ProjectSentinel-Climate-Aware-Autonomous-Investing-System-1.0
April 3, 2026 – Present
Autonomous investing system that integrates real-time climate and environmental data to drive sustainable, climate-aware portfolio decisions.
View ProjectSentinel-Climate-Aware-Autonomous-Investing-System-Frontend-Demo
April 2, 2026 – Present
Sentinel-Climate-Aware-Autonomous-Investing-System-Frontend-Demo — GitHub repository
View ProjectBook-My-Stay
April 1, 2026 – Present
A console-based Hotel Booking System built with Core Java and data structures, demonstrating real-world concepts like FIFO request handling, inventory management, and prevention of double bookings through efficient system design.
View ProjectCarbon-Optimizer
February 28, 2026 – Present
Carbon Optimizer is a fully offline, AI-powered GPU workload scheduling simulator that minimizes data center carbon emissions. It models a 10-GPU heterogeneous cluster, generates realistic ML job queues, predicts workload demand via a PyTorch LSTM, and benchmarks a carbon-aware scheduler against a baseline — all visualized in a Streamlit dashboard.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in AI/ML and automation. This suggests a self-starter who is passionate about building and exploring new technologies. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects align with a data-driven culture, but the breadth of skills outside of core data science (e.g., Java, Kotlin, web technologies) might indicate a broad interest rather than deep specialization, which could be a fit for innovative teams but might require focus for specific roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to conceptualize and describe technical solutions, but there is no information on collaboration, problem-solving approaches, or communication in a team setting.