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AI Engineer with 1+ years in Python, ML, and AI Automation
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Assessing your cultural and operational fit
Versatile and enthusiastic individual with strong expertise in Data Science, Frontend Development, AI Agents, and Mechanical Design. Skilled in Python, R, React.js, Machine Learning, Android System Development, and AI automation. Experienced in Streamlit deployment, custom AI agent development, data analysis, and mechanical design tools. Passionate about building intelligent systems, solving real-world problems, and creating futuristic technology experiences.
MARATHWADA MITRA MANDAL'S COLLEGE OF ENGINEERING, PUNE
Bachelor of Engineering · Mechanical Engineering
N/A – June 30, 2025
ST. TERESA'S HIGHER SECONDARY SCHOOL, BURHANPUR
10th and 12th (Higher Secondary Education)
N/A – Present
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Meet Rio Hybrid AI Assistant
June 18, 2026 – Present
Built a multi-LLM hybrid AI assistant for system control and automation. Added daily summary automation, RAG document chat, and image generation. Designed a modular orchestration engine for faster local + cloud AI workflows.
View ProjectAI-Agent-2.0 - Autonomous AI Workflow Agent
June 18, 2026 – Present
Created an autonomous agent with NLU, task automation. Integrated AI code generation, refactoring, and image creation. Built an interactive 3D UI using Three.js.
Bankruptcy Prediction ML model
June 18, 2026 – Present
ML model for bankruptcy risk. Course.
Recommender
June 18, 2026 – Present
Suggests courses using similarity metrics.
OCI AI Foundations
Oracle Cloud Infrastructure
June 1, 2026 – Present
Data Science Certification
ExcelR Solutions
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including autonomous AI agents, hybrid AI assistants, and ML models, aligns well with an innovative and AI-focused culture. The personal projects demonstrate a strong drive and interest in cutting-edge AI applications, which is a positive indicator for cultural fit in an AI Engineer role. The academic background in Mechanical Engineering, while not directly AI, combined with self-driven AI projects, shows adaptability and a multidisciplinary approach. The internship experiences, though short-term, provide exposure to structured work environments in data science.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted AI systems, indicating problem-solving skills and a proactive approach to learning new technologies. The personal projects demonstrate initiative and a passion for building intelligent systems. However, the English test score is low, which might impact written communication in a professional setting. The psychometric test score is 0, indicating insufficient data to assess logical reasoning, work attitude, stress handling, or team collaboration.