AI Engineer with 1+ years in Frontend Development & AI/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
Aspiring AI Engineer with a solid foundation in Artificial Intelligence, Machine Learning, and Deep Learning. Experienced with modern ML frameworks and building intelligent systems. Driven to contribute to real-world projects and grow as an AI Engineer.
G.H. Raisoni College of Engineering
B.Tech · CS (AI)
August 1, 2022 – June 30, 2026
Kendriya Vidyalaya Ambajhari
HSC
June 1, 2021 – May 31, 2022
Raycura Medical Technologies Pvt Ltd
Frontend Developer Intern (Remote)
June 1, 2025 – Present
India
Edunet Foundation
AI/ML Intern (Remote)
December 1, 2024 – May 31, 2025
India
Sanskrit Multilingual RAG System
January 1, 2026 – June 1, 2026
• Built an end-to-end Sanskrit RAG pipeline using FAISS and multilingual embeddings to retrieve Devanagari text and generate accurate English answers on CPU-only systems. • Supported Sanskrit Devanagari, transliterated Sanskrit, and English queries using a cross-lingual embedding model trained on 50+ languages. • Developed a Streamlit web UI with confidence scoring, query history, input-type detection, and retrieved context display, along with a terminal interface and sample queries.
Explainable Federated Deep Learning Model for Lung Disease Detection
January 1, 2025 – December 31, 2025
• Built a YOLOv8-based multi-disease detection system integrating CNNs, image preprocessing, and OpenCV overlays for accurate and interpretable chest X-ray analysis. • Implemented Grad-CAM heatmaps and bounding-box visualizations to provide explainable AI outputs and enhance clinical transparency. • Designed a desktop application for real-time X-ray upload, annotated detection results, severity insights, and automated PDF report generation.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying AI/ML concepts to real-world problems (healthcare, multilingual systems). The internship experiences, though varied (frontend and AI/ML), show adaptability and a willingness to learn diverse technical stacks. The 'Sports Lead' role indicates teamwork and leadership potential, contributing positively to cultural fit. However, the experience level is entry-level, which might require mentorship within a senior AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deliver functional applications. Participation in organizing college tournaments suggests organizational skills and leadership potential. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.