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AI Engineer with 1+ years in Data Analysis & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with professional experience in AI data annotation, data quality assurance, and data analysis. Skilled in Python, SQL, data processing, and machine learning fundamentals. Experienced in evaluating large datasets, validating AI/LLM outputs, and supporting data-driven projects. Strong analytical, problem-solving, and collaboration skills with the ability to adapt quickly to new technologies and business requirements.
Patel College of Science & Technology (RGPV), Indore
Bachelor of Engineering · Computer Science Engineering
August 1, 2021 – June 30, 2025
INNODATA INDIA PVT. LTD.
Analyst AI/LLM Practice
December 1, 2025 – Present
India
RUBIX AI SOLUTION
Data science & AI Consultant Intern
March 1, 2025 – November 1, 2025
India
AI Voice Assistant
June 1, 2026 – Present
Developed a Python-based voice assistant integrating speech recognition libraries to automate tasks, manage reminders, and streamline information retrieval.
Diabetes Prediction System
June 1, 2026 – Present
Built an end-to-end ML web application using Python, Scikit-learn, and Streamlit to predict risk factors; implemented data cleaning and classification algorithms.
AI Expert
Datamites
June 1, 2026 – Present
Data Science
Datamites
June 1, 2026 – Present
Front-End Development Training
Allsoft
June 1, 2026 – Present
C/C++ Programming
Jobsense
June 1, 2026 – Present
Data Analytics Virtual Experience
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a voice assistant and a diabetes prediction system, indicates a broad interest in applying AI to different domains. Their experience as an 'Analyst AI/LLM Practice' and 'Data science & AI Consultant Intern' shows a clear career trajectory towards AI/ML roles. The listed certifications further demonstrate a commitment to continuous learning and skill development, which aligns well with a culture of innovation and growth. The breadth of skills, from programming to data analytics and AI/ML, suggests adaptability and a willingness to engage with various aspects of a project.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical, problem-solving, and collaboration skills, which are crucial for an AI Engineer role. Experience in identifying data anomalies and implementing quality improvements suggests an attention to detail and a proactive approach to operational excellence. The ability to adapt quickly to new technologies is also a positive indicator for operational fit in a rapidly evolving AI landscape.