Computer Science undergraduate focused on applied AI and software engineering. I work on Python-based systems involving applied ML, NLP, and Computer vision
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mailmass
June 16, 2026 – Present
Email Marketing Platform built with FastAPI, PostgreSQL, Redis, Celery, Docker, and JWT Authentication.
View Projectcredit-card-fraud-detection-model
May 29, 2026 – Present
A machine learning-based fraud detection system trained on a dataset of 6+ million transaction records to identify potentially fraudulent credit card activities in real time. This project uses Linear Regression for predictive analysis and focuses on detecting suspicious transaction patterns with high efficiency and scalability.
View Projectai-agent-based-job-assistant
February 8, 2026 – Present
Multi-agent AI system that analyzes job descriptions and generates tailored resume summaries, cover letters, and recruiter outreach messages using LLMs and NLP.
View ProjectChat-Behavior-Insight-System
February 3, 2026 – Present
Designed an end-to-end ML system that analyzes WhatsApp group chats to infer user behavior patterns using feature engineering and KMeans clustering. Built explainable, cluster-aware natural language profiles for each participant and deployed a user-uploadable Streamlit interface generating CSV and PDF reports.
View Projectwp-chat-analyzer
February 1, 2026 – Present
Analyze WhatsApp chats with interactive dashboards — message stats, timelines, emojis, word clouds, and activity heatmaps using Python & Streamlit.
View ProjectThermal-infrared-optical-super-fusion-imagery
January 3, 2026 – Present
Thermal–Optical Fusion Super-Resolution System An AI-based framework that enhances low-resolution thermal infrared images by fusing them with high-resolution optical (RGB) imagery, preserving thermal integrity while restoring fine spatial details for satellite and remote-sensing applications.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which align with data science and machine learning. The diversity of projects (web development, data analysis, AI agents, image processing) suggests a broad interest, but also a potential lack of deep specialization in a single area. The target role is Data Scientist, and several projects directly support this, indicating a good foundational fit. However, the absence of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects and a focus on practical application. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.