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AI Engineer with less than a year in Machine Learning and Data Science.
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Assessing your cultural and operational fit
Aspiring AI Engineer with internship experience in Python development and a strong foundation in Machine Learning and Data Science. Proven ability to build end-to-end AI-driven web applications, including LLM-integrated tools (LearnTube) and unsupervised learning models. Proficient in leveraging advanced AI frameworks (Anthropic/Claude) to automate complex workflows. Dedicated to bridging the gap between raw data and actionable user insights.
Unknown
Bachelor of Science · Artificial Intelligence
October 1, 2022 – Present
Unknown
AI/ML Intern
September 1, 2025 – December 1, 2025
India
AI-POWERED ACCOUNTING ASSISTANT | FINAL YEAR PROJECT
June 25, 2026 – Present
DEVELOPED AN AI-POWERED ACCOUNTING ASSISTANT THAT AUTOMATES INVOICE PROCESSING USING OCR AND DOCUMENT INTELLIGENCE TECHNIQUES. BUILT DATA EXTRACTION AND CLASSIFICATION PIPELINES USING PYTHON, OPENCV, AND TESSERACT OCR TO IDENTIFY AND EXTRACT KEY FINANCIAL INFORMATION. INTEGRATED LLM-BASED CONVERSATIONAL CAPABILITIES TO ENABLE INTELLIGENT QUERYING AND ANALYSIS OF ACCOUNTING DOCUMENTS.
LEARNTUBE AI LEARNING PLATFORM
June 25, 2026 – Present
DEVELOPED A WEB APPLICATION USING PYTHON AND CLAUDE API TO AUTOMATE VIDEO SUMMARIZATION FROM YOUTUBE URLS. ENGINEERED AN AUTOMATED QUIZ GENERATION SYSTEM TO TEST USER RETENTION, IMPROVING ACTIVE RECALL FOR LEARNERS. INTEGRATED SEAMLESS UI/UX TO HANDLE REAL-TIME DATA FETCHING AND LLM PROCESSING.
IMAGE CLUSTERING & ANALYSIS
June 25, 2026 – Present
BUILT AN UNSUPERVISED MACHINE LEARNING MODEL TO CATEGORIZE LARGE IMAGE DATASETS BASED ON VISUAL FEATURES. UTILIZED SCIKIT-LEARN AND PYTHON TO IMPLEMENT CLUSTERING ALGORITHMS, REDUCING MANUAL SORTING TIME.
CUSTOMER CHURN PREDICTION SYSTEM
June 25, 2026 – Present
BUILT A MACHINE LEARNING MODEL TO PREDICT CUSTOMER CHURN USING HISTORICAL CUSTOMER BEHAVIOR DATA PERFORMED DATA PREPROCESSING, FEATURE ENGINEERING, AND HANDLING OF MISSING VALUES USING PANDAS AND NUMPY TRAINED AND EVALUATED MULTIPLE MODELS INCLUDING LOGISTIC REGRESSION AND RANDOM FOREST, ACHIEVING OPTIMIZED PREDICTION ACCURACY IDENTIFIED KEY FACTORS INFLUENCING CHURN TO SUPPORT DATA-DRIVEN BUSINESS DECISION-MAKING
Project Management
June 1, 2026 – Present
Agile Business Analysis
Udemy
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to solve practical problems, from accounting automation to educational platforms. The internship experience, though short, shows exposure to real-world AI solution development. The certifications in Project Management and Agile Business Analysis indicate a proactive approach to understanding broader project lifecycle and methodologies, which aligns with a structured and collaborative work culture. However, the candidate's experience level is very low (0 years of professional experience, with an internship starting in the future), which might impact immediate cultural integration into a senior role requiring extensive industry experience and established professional networks. The projects are diverse in application but primarily academic, which might limit exposure to enterprise-level challenges and team dynamics.
Soft Skills & Operational Fit
The candidate's resume highlights 'Interpersonal Skills', 'Documentation Skills', and 'Attention to Detail' as non-technical skills. These are valuable for operational fit, especially in collaborative AI development environments. The project descriptions indicate an ability to integrate UI/UX, suggesting an understanding of user-centric design in AI applications. However, without specific assessment data on these soft skills, it's difficult to fully gauge their operational fit beyond self-reported claims.