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AI Engineer with less than a year in Machine Learning, Data Processing & 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
Result Aspiring AI/ML engineer with hands-on experience in developing intelligent systems, seeking to leverage skills in machine learning, data processing, and scalable application development to deliver impactful solutions.
Sreenidhi Institute of Science and Technology
B. Tech · CSE (AI & ML)
August 1, 2021 – June 30, 2025
Zen Technologies
AI automation intern
February 1, 2026 – Present
India
Intel
industrial training
May 1, 2024 – July 1, 2024
India
Mobile Price Prediction using ML
March 1, 2025 – June 1, 2025
Developed a machine learning model using Python, Scikit-learn, Pandas, and NumPy to predict mobile prices with optimized preprocessing and feature selection. Built a Streamlit web app and integrated sentiment analysis to enable real-time predictions and improve model performance.
Accident Hotspot Detection on Indian Roads
September 1, 2024 – December 1, 2024
Analyzed real-world accident data using Python and Geopy to identify and map high-risk locations across India. Performed data cleaning, transformation, and geospatial visualization to highlight accident hotspots for safety awareness.
AI Python for Beginners
Unknown
June 1, 2026 – Present
Certificate for skill competency - AI Machine Learning Engineer
Unknown
June 1, 2026 – Present
Intel Unnati Industrial Training
Intel
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships demonstrate a strong interest and foundational experience in AI/ML, aligning well with an AI Engineer role. The diversity of projects (mobile price prediction, accident hotspot detection, RAG system) shows a breadth of application areas. The current internship focuses on practical, real-world AI system development, which indicates a proactive and hands-on approach. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from model development to UI integration. The internship at Zen Technologies highlights problem-solving skills in optimizing pipelines for low-latency local inference. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, communication, or stress handling.