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AI Engineer with less than a year in LLM-powered applications & Python automation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech. Artificial Intelligence & Data Science student building LLM-powered applications, AI agents, and Python-based automation workflows in production-grade environments. Hands-on with prompt engineering, REST API integration, and end-to-end ML pipelines using Python, Scikit-learn, TensorFlow, and the Gemini LLM API. Strong builder mindset with 4+ shipped AI projects and a track record of translating business problems into reliable, well-documented AI solutions.
DMI College of Engineering
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
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Artificial Intelligence Intern
November 1, 2025 – Present
Chennai, Tamil Nadu, India
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Chennai, Tamil Nadu, India
Neural Transformers.AI
Data Science Intern
September 1, 2023 – November 30, 2023
Chennai, Tamil Nadu, India
Skin Disease Detection System
January 1, 2023 – Present
Delivered a production-ready medical image classifier covering the full ML lifecycle on a large dataset.
DataswiftML — Automated EDA & ML Platform
January 1, 2023 – Present
Architected a reusable platform automating data profiling, model selection, evaluation, and interactive reporting for technical and non-technical users.
Automated AI Data Pipeline & Reporting System
January 1, 2023 – Present
Engineered an end-to-end agentic pipeline ingesting multi-source data via APIs, applying LLM-based extraction, summarization, and reasoning, and producing structured human-readable reports with zero manual intervention.
Delhi Pollution Forecasting
January 1, 2023 – Present
Statistical time-series forecasting with documented, reproducible analytical workflow.
Cultural Fit Analysis
The candidate's diverse personal projects and internship experiences across different AI/Data Science domains (LLMs, automated ML, computer vision, time-series forecasting) suggest adaptability and a broad interest in the field. The focus on 'production-ready' solutions and 'reproducible analytical reports' aligns with a results-oriented culture. The candidate is still pursuing a bachelor's degree, indicating a strong learning orientation, which is beneficial for cultural fit in a rapidly evolving field like AI.
Soft Skills & Operational Fit
The candidate's resume highlights a 'strong builder mindset' and a track record of delivering 'well-documented solutions,' suggesting an inclination towards practical application and good engineering practices. Experience in 'partnering with engineering and product teams' indicates an understanding of collaborative environments. The project descriptions are clear and concise, reflecting good communication skills in a technical context.