AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
👨💻 Turning data into insights | Machine Learning & Quantum Computing enthusiast 🧬 Currently learning Quantum AI, NLP, and RAG-based systems
smart-patient-triage-ai
February 14, 2026 – Present
smart Ai for patient triage
100-days-of-Deep-Learning
January 16, 2026 – Present
This GitHub repository documents a 100-day structured challenge to master deep learning from fundamentals to advanced applications, featuring daily code implementations, notebooks, and experiments.
View ProjectBMS-Data-pre-processing-files
January 14, 2026 – Present
Python Notebooks containing data processing code
View Projectpassenger-notification-engine
December 16, 2025 – Present
Event-driven passenger notification system built with Next.js and PostgreSQL that triggers multi-channel alerts for flight delays and cancellations, supports Indian regional languages, and provides rebooking/compensation guidance.
View ProjectDocument-comparator
August 2, 2025 – August 14, 2025
A simple and powerful app that compares two documents (PDF, DOCX, or TXT), highlights their differences, and summarizes the key changes using a locally running LLM (Mistral via Ollama) — no OpenAI key required, no internet needed. Built with Python and Streamlit, this tool is ideal for reviewing contracts, assignments and more
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and focused on Machine Learning and related areas, which aligns with the target role. However, the lack of diverse project types (e.g., team projects, open-source contributions beyond personal repos) and limited information on collaboration or broader engineering practices makes a comprehensive cultural fit assessment challenging. The experience level is 0, suggesting a junior profile, which might not align with a senior-level cultural fit expectation without further data.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.