
Software Engineer specialising in backend, AI/LLM systems, and cloud-based software engineering.
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Assessing your cultural and operational fit
AI-Powered-Resume-Builder-ATS-Optimization-Agent
January 21, 2026 – Present
AI-Powered-Resume-Builder-ATS-Optimization-Agent — GitHub repository
View ProjectAutoGrader
January 6, 2026 – Present
Production-ready AI autograding system for scenario-based and case-study university assignments using OCR, RAG, and LLMs with confidence-aware evaluation.
View ProjectInvoiceManagementSystem
August 24, 2025 – August 24, 2025
Full-stack invoice management system built with Flask and SQLite featuring automated billing, customizable invoices, and inventory tracking.
View ProjectIntrusion-Detection-System
June 30, 2025 – June 30, 2025
Intrusion-Detection-System — GitHub repository
View ProjectIntrusionDetectionSystem-ML-
February 23, 2025 – Present
Machine learning–based intrusion detection system using CICFlowMeter and CICIDS2017 with Flask visualization and >98% classification accuracy.
View ProjectLoanEligibilityPrediction
February 16, 2025 – February 16, 2025
Uses Python flask, HTML for web interaction, model was trained on a dataset from kaggle.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration of various technologies, particularly in AI/ML and web development. The diversity of projects suggests 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 are primarily Python-centric, which aligns with a Data Scientist role, but the breadth of data science specific tools (e.g., big data, cloud platforms, advanced statistical packages) is not explicitly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.