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Software Engineering student with an interest in IoT and ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Humor-Classification-Model
March 27, 2026 – Present
A BERT-based NLP model to classify sentences as humor (funny) or normal (not funny). This is a really weird fucking sentence.
View ProjectLLM-MCP-Market-Intelligence
November 4, 2025 – November 14, 2025
Analyzing iPhone vs Samsung customer feedback using LLMs to demonstrate how Model Context Protocol (MCP) improves fidelity and reduces hallucination in market intelligence.
View ProjectNextGen-Logistics
October 29, 2025 – October 29, 2025
NextGen-Logistics — GitHub repository
View ProjectPBL-Project
November 26, 2024 – November 26, 2024
To design and implement an autonomous system capable of detecting potential threats, analyzing their proximity, and initiating countermeasures. The project aims to simulate advanced defence mechanisms by integrating sensors, radar visualization, and real-time alert systems for rapid and efficient threat response.
View Projectflood
November 15, 2024 – December 2, 2024
This is a flood alert api that uses sattalite imagery to predict weather or not htere will be a flood
View ProjectAccount-Scraper
September 6, 2024 – September 7, 2024
Account-Scraper — GitHub repository
View ProjectCMS-Website
June 24, 2024 – June 24, 2024
A blogging website made with the CMS logic to power it.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of personal projects, including web development, scripting, and data science related tasks. This indicates a proactive and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align with a technical curiosity, which is generally positive for cultural fit in an innovative setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.