AI Engineer @Scaleo | PG Dip @Centrale Méditerranée | CSE Undergrad @Mahindra University
Srinagar, India
AI Engineer with hands-on experience building LLM-powered, retrieval-based, and ML-driven applications across AI-powered matching systems, computer vision, and backend AI platforms. Skilled in Python, deep learning, semantic search, RAG workflows, model orchestration, and production-facing AI development using Flask, Socket.IO, multilingual systems, and AI pipeline integration.
I have worked on AI-powered candidate matching, prompt-driven LLM workflows, semantic retrieval, and real-time backend systems, along with applied computer vision projects in industrial and research settings. I enjoy building practical AI systems that connect strong model performance with scalable user-facing products.
Internships
Projects
Certifications
SCALEO
Built RAG pipelines for CV-JD matching using ChromaDB, HuggingFace embeddings, semantic search, and LLM-based analysis. Automated CV-JD screening with RAG and LLM pipelines, reducing manual screening effort and enabling review of 100+ applications in under an hour in AI-assisted hiring workflows. Developed the frontend for AI matching workflows on aipps.scaleo.hr, connecting user actions with backend AI analysis and recruiter-facing results.
SCALEO
Used prompt-driven LLM workflows with vector documents to generate and tailor CVs and job descriptions from minimal user input. Built an AI-driven candidate ranking pipeline using LLMs, semantic search, and CV-JD matching techniques. Contributed to Python backend services for async AI workflows and real-time analysis updates with Flask and Flask-SocketIO.
Centre de Physique des Particules de Marseille (CPPM)
Worked on advanced machine learning operations with diffusion denoisers and autoencoders.
Airbus Helicopters
Developed a solution for detecting material sliding defects in the Starflex of helicopters using x-ray images. Designed preprocessing pipeline and trained multiple models achieving 99.5%-100% TPR with YOLOv11. Eliminated human dependency and accelerated defect detection.
Postgraduate Degree in Artificial Intelligence
CentraleDigitalLab @LaPlateforme_
Bachelor of Technology - Computer Science and Engineering
GPA: 9.5, CGPA: 8.9
Airbus Helicopters • Oct 2024 - Dec 2024
Developed an automated defect detection system for helicopter components using X-ray images. Implemented ResNet + U-Net and YOLOv11 models achieving 99.5%-100% True Positive Rate.
Centrale Méditerranée • Sep 2024 - Oct 2024
Developed an interactive dashboard using Plotly/Dash to visualize the global economic effects of the COVID-19 pandemic with dynamic charts and data visualizations.
Airbus & Centrale Méditerranée • 2024
Participated in Airbus Hackathon focusing on reinforcement learning for UAV swarms. Team received special award for innovative approach.
Indian Institute of Technology, Delhi
Jul 2024
Indian Institute of Information Technology, SriCity
Sep 2023
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.