💻 CS Undergrad @ IIIT Nagpur | AI Engineering track 🔬 ML → DL → GenAI → Agentic AI 🛠️ Building: RAG, CNNs, PyTorch models 📊 230+ DSA (Java) |
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
HotelGuard-AI
April 12, 2026 – Present
A context-aware, AI-powered crisis detection and triage system for hospitality venues.
View ProjectMediGuard-AI
March 31, 2026 – Present
RL-powered Smart Patient Monitoring System - Meta PyTorch OpenEnv Hackathon x SST India AI 2026
View ProjectLand-classification-system
March 20, 2026 – Present
A deep learning pipeline for satellite imagery classification using CNNs and Vision Transformers — built with Keras and PyTorch.
View ProjectDocument-QA-Assistant-using-RAG
March 18, 2026 – Present
A deployable question-answering assistant using LangChain’s document loaders and text-splitting strategies to ingest and structure multi-source documents for retrieval.
View ProjectLeague-of-Legends-Match-Predictor
February 28, 2026 – Present
A binary classification model that predicts match outcomes using player performance statistics, implemented with PyTorch.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and self-directed learning in AI/ML. The diversity of projects (healthcare, gaming, environmental, general AI) suggests a broad interest in applying data science across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.