AI Engineer with 1+ years in Generative AI & Data Science
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Assessing your cultural and operational fit
Aspiring AI/ML engineer with hands-on experience in training and evaluating AI/LLM models, building RAG-based recommendation systems, and designing data preprocessing pipelines. Proficient in Python, SQL, Scikit-learn, Pandas, and NumPy, with foundational expertise in machine learning, deep learning, and data visualization. Demonstrated ability to translate complex model metrics into actionable insights and support end-to-end ML workflows. Passionate about applying Generative AI to real-world B2B and marketplace intelligence problems.
Chandigarh University
B.E. · Computer Science
N/A – June 30, 2025
Asvix.in
AI ENGINEER INTERN
May 1, 2026 – Present
India
Excelerate.org (USA)
DATA ANALYST ASSOCIATE INTERN
December 1, 2025 – February 1, 2026
USA
Outlier.ai
AI MODEL TRAINER & DATA ANALYST
November 1, 2023 – June 1, 2025
India
SHLAssessment Recommendation System (GenAI/RAG)
June 3, 2026 – Present
Implemented a retrieval-augmented generation (RAG) pipeline using Python, Streamlit, and LLM APIs, integrating data preprocessing workflows to optimize context retrieval. Conducted experiments to evaluate recommendation accuracy, analyzing results and refining prompt engineering to enhance assessment relevance.
Faculty Research Portal (Data Platform)
June 3, 2026 – Present
Built a data-driven research platform using JavaScript, MySQL, and Django enabling faculty to showcase publications. Designed SQL database architecture to manage and query research data efficiently. Platform facilitated cross-functional collaboration and knowledge sharing across departments.
AI-Powered Educational Chatbot (LLM + RAG)
June 3, 2026 – Present
Built an AI-powered chatbot using Retrieval-Augmented Generation (RAG) for context-aware question answering. Integrated Pinecone vector databases for semantic search and efficient information retrieval. Developed scalable backend APIs using FastAPI and Firebase for real-time chat workflows. Implemented prompt engineering, document chunking, and conversation memory to improve LLM response quality. Optimized system workflows for low-latency responses and concurrent user handling.
Deep Learning & Reinforcement Learning
Unknown
June 1, 2026 – Present
Computer Vision
Unknown
June 1, 2026 – Present
Programming in python
Meta
June 1, 2026 – Present
The Java Language
Unknown
June 1, 2026 – Present
Analytics & Visualisation: Data Visualisation with Tableau
Unknown
June 1, 2026 – Present
Internet of Things
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML, particularly Generative AI and RAG, which aligns well with an AI Engineer role. The projects demonstrate initiative and a willingness to explore different applications of AI. The academic background combined with internships and a full-time role indicates a proactive learning attitude. However, the experience is relatively short, and the 'DATA ANALYST ASSOCIATE INTERN' role is less directly aligned with a senior AI Engineer position, suggesting a need for further development in core engineering practices.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight collaboration with cross-functional teams and a data-driven approach to problem-solving. The 'AI MODEL TRAINER & DATA ANALYST' role at Outlier.ai suggests an ability to work with feedback loops and iterative improvements, which is crucial for operational fit in an AI development environment. The English test score indicates good communication clarity.