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AI & Machine Learning Engineer | Building AI-powered tools & GenAI systems | Python • ML • DL • LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Axis Institute of Technology & Management
Data Scientist
June 19, 2026 – Present
data-analysis-practice-projects
March 28, 2026 – Present
data-analysis-practice-projects — GitHub repository
View Projectmachine-learning-practice
March 8, 2026 – Present
My Machine Learning practice notebooks including NumPy, Pandas, Matplotlib, Scikit-learn and ML concepts.
View Projectgreen-ai-energy-aware-model-selector
January 12, 2026 – Present
An energy-aware machine learning system that evaluates multiple models and recommends the optimal one by balancing accuracy, training cost, and energy consumption to promote sustainable AI.
View Projecthouse-price-prediction-ml-pipeline
January 3, 2026 – Present
An end-to-end machine learning pipeline for house price prediction, including data preprocessing, exploratory data analysis, feature engineering, model training, evaluation, and comparison.
View ProjectElystrix
December 14, 2025 – Present
Elystrix is an AI-powered learning platform that transforms YouTube educational content into structured, trackable courses with certifications and a platform-aware AI assistant powered by Google Gemini.
View ProjectMy-Portfolio
December 14, 2025 – Present
High-performance personal portfolio showcasing AI & ML projects, skills, certifications, and professional experience with a modern, responsive UI.
View ProjectLinktree
December 6, 2025 – Present
A modern personal Linktree-style portfolio with dynamic themes, audio visualizer, and smooth animations.
View Projectyash-755
December 6, 2025 – Present
AI & Machine Learning Engineer focused on building intelligent, scalable, and performance-driven systems. Passionate about applied ML, real-world problem solving, and clean, production-ready engineering.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong initiative and self-learning drive, which aligns with a culture of continuous improvement. The diversity of projects, from core ML practice to full-stack development (Elystrix, My-Portfolio), indicates adaptability and a broad technical curiosity. The 'green-ai-energy-aware-model-selector' project suggests an awareness of ethical and sustainable AI practices, which could be a positive cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects suggest an independent work style and a focus on technical implementation.