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AI Engineer with less than a year in Machine Learning & RAG Systems
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Assessing your cultural and operational fit
Graduate student pursuing a Master's in Computer Science with a specialization in AI and Machine Learning, proficient in Python with strong foundations in Data Structures and Algorithms. Experienced in building AI-powered applications, including RAG systems and NLP solutions, with hands-on skills in mobile app development and real-world ML integration.
University of Petroleum and Energy Studies (UPES)
Master of Computer Applications · AI/ML Specialization
August 1, 2024 – June 30, 2026
Babu Banarasi Das University, Lucknow
Bachelor of Computer Applications · Software Development
August 1, 2020 – June 30, 2023
Xebia IT Architects Pvt Ltd
Machine Learning Intern
January 1, 2026 – May 1, 2026
Dehradun, Uttarakhand, India
NURTURE
Flutter Developer Intern
June 1, 2025 – August 1, 2025
India
My Garden App (Flutter + Firebase)
June 24, 2026 – Present
Designed a Flutter-based plant management application with Firebase backend and real-time data sync. Implemented secure authentication and automated timestamp creation using Cloud Functions. Improved performance and user experience with optimized state management (Provider).
Supply Chain Disruption Early Warning System
June 24, 2026 – Present
Developed an early warning system using real-time data processing, anomaly detection, and predictive analytics. Led development of a disruption monitoring pipeline, improving early detection of risks and enabling proactive decision-making. Built a full-stack system that analyzes data streams, identifies anomalies, and generates alerts using ML, APIs, and data-driven techniques.
AI Historical Video Generator Pipeline
June 24, 2026 – Present
Developed an AI-powered Video Generation Model using PyTorch and generative modeling to synthesize video sequences from input data. Built an end-to-end deep learning pipeline including data preprocessing, model training, and inference for automated video frame generation. Applied computer vision and temporal consistency optimization to generate coherent, realistic video frames with smooth transitions.
Smart Academic Assistant (RAG System)
June 24, 2026 – Present
Built an AI-powered academic assistant using Retrieval-Augmented Generation (RAG). Implemented text preprocessing, vector embeddings, and context retrieval for accurate query answering. Enhanced response accuracy by optimizing the retrieval pipeline and fine-tuning model responses.
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from academic assistants to supply chain systems and video generation, indicating a broad technical curiosity. The involvement in an agri-tech internship suggests an interest in applying technology to real-world problems. The target role of 'AI Engineer' aligns well with their academic specialization and project experience. The breadth of skills across ML, AI, and even mobile development suggests a versatile individual who could contribute to various aspects of a team.
Soft Skills & Operational Fit
The candidate demonstrates analytical problem-solving skills, as highlighted in the Flutter Developer Intern role and project descriptions. Their project work indicates an ability to take initiative and lead development efforts (e.g., 'Led development of a disruption monitoring pipeline'). The diversity of projects suggests adaptability and a willingness to tackle different technical challenges. However, without direct assessment data, specific operational fit aspects like stress handling or team collaboration cannot be definitively evaluated.