AI Engineer with less than a year in Data Annotation & AI/ML Development
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Assessing your cultural and operational fit
AI enthusiast and Electronics and Telecommunication Engineering student specializing in Artificial Intelligence and Machine Learning. Possesses hands-on experience in data annotation, machine learning model preparation, and full-stack AI platform development. Proficient in Python, data analysis, deep learning, NLP, and computer vision with a proven track record in impactful projects and hackathon achievements.
Atharva College of Engineering
Bachelor of Engineering · Electronics and Telecommunication (Specialization: Artificial Intelligence and Machine Learning)
August 1, 2022 – June 30, 2026
Daten & Wissen Pvt Ltd
AI / Data Annotation Intern
July 1, 2025 – September 1, 2025
India
Workforce Analytics Dashboard
May 1, 2026 – May 1, 2026
Cleaned and transformed a 100K+ employee dataset from Kaggle using Python and Pandas. Engineered workforce analytics metrics including attrition, retention, and burnout risk. Built an interactive Power BI dashboard for KPI monitoring and workforce trend analysis.
AI Data Analyst Agent
March 1, 2026 – March 1, 2026
Built a full-stack AI-powered analytics platform for CSV-based data exploration and analysis. Integrated Google Gemini API for natural language querying and automated insight generation. Developed data ingestion, preprocessing, statistical analysis, and anomaly detection pipelines.
MargDarshak Smart Goggles
September 1, 2025 – September 1, 2025
Developed an AI-assisted wearable navigation system for visually impaired users. Integrated ESP32-S3, LiDAR, and camera modules for real-time environmental awareness. Achieved end-to-end response latency below 200 ms through optimized hardware-software integration.
AI for Engineers
Outskill
June 1, 2026 – Present
Power BI
Simplilearn
June 1, 2026 – Present
Python for Data Science
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse AI applications, from data analytics to wearable navigation systems, indicating adaptability and a broad perspective. The specialization in AI/ML and participation in hackathons align well with an innovative and growth-oriented culture. The internship experience, though short, shows an ability to contribute to team-based ML workflows. The focus on personal projects and certifications suggests self-motivation and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic AI engineering role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems and integrate various technologies. Participation in hackathons suggests a proactive and problem-solving mindset. The internship experience shows collaboration and attention to detail in data preparation. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like communication clarity, stress handling, and team collaboration is limited.