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AI Engineer with less than a year in Machine Learning, NLP & Cloud Deployment
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Data Science student with hands-on experience developing AI solutions at Edunet Foundation, specializing in machine learning, NLP, deep reinforcement learning, and cloud deployment. Proven track record of building scalable applications using Python, Django, and IBM Cloud. Passionate about leveraging AI to solve real-world problems in agriculture and intelligent systems.
K. K. Wagh Institute of Engineering, Education and Research
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
MindMerge Solutions Pvt. Ltd.
Software Development Intern
December 1, 2025 – May 1, 2026
Pune, Maharashtra, India
IBM SkillsBuild x Edunet Foundation
AI Intern
July 1, 2025 – August 1, 2025
India
RL-Based Mess Service Optimization
May 1, 2025 – November 1, 2025
Engineered hybrid DQN and Random Forest model predicting student attendance with 87% accuracy across 500+ daily predictions. Built data preprocessing pipeline with one-hot encoding and feature scaling, processing 1,000+ data points including day-of-week, holidays, and events. Deployed ML model in Django web app with Plotly visualizations, reducing estimated food waste by 20%.
FarmDirect App
February 1, 2025 – April 1, 2025
Developed agriculture Android app serving 200+ farmers and consumers, increasing farmer income by 35% through direct sales. Implemented farmer registration, product listing, inventory management, and real-time chat using Firebase Realtime Database. Integrated Google Maps API for location-based services, processing 1,000+ geolocation queries within 50km radius.
View ProjectOracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
September 1, 2025 – Present
AWS Cloud Foundations Certification
AWS Academy
March 1, 2025 – Present
IBM Artificial Intelligence Certification
IBM SkillsBuild
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in applying AI to solve real-world problems, aligning well with an innovative and impact-driven culture. The diversity of projects (mess service optimization, agriculture, media-to-text extraction, trading support, interview trainer) indicates adaptability and a broad technical curiosity. The certifications in multiple cloud platforms (Oracle, IBM, AWS) suggest a proactive learning attitude. The candidate's focus on AI and Data Science aligns directly with an AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to work on diverse applications, from optimizing mess services to developing agricultural apps. The internship experiences suggest an ability to contribute to real-world systems and collaborate within a team. However, without direct assessment data on communication, logical reasoning, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.