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AI Engineer with less than a year in Machine Learning & Deep Learning
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Highly motivated AI/ML Developer with a Bachelor's degree in Computer Science and postgraduate specialization in Artificial Intelligence and Machine Learning from MIT-WPU. Proficient in Machine Learning, Deep Learning, Digital Image Processing, and optimization techniques including genetic algorithms applied to real-world problems. Experienced in developing intelligent systems, building predictive models, and working with large datasets to generate actionable insights. Passionate about contributing to innovative AI-driven projects and advancing scalable, real-world technology solutions.
MIT-WPU
Post Graduation Diploma · Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2024
SRM University
Master of Computer Applications
August 1, 2022 – June 30, 2024
MGM College of CS & IT
Bachelor in Computer Science
August 1, 2018 – June 30, 2021
Cambridge High School
HSC Board
June 1, 2017 – May 31, 2018
The Data Tech Labs
Software Engineer Trainee
July 1, 2025 – January 1, 2026
Pune, Maharashtra, India
Institute of Artificial Intelligence, MIT-WPU
Research Intern
February 1, 2024 – May 1, 2024
Pune, Maharashtra, India
Detection of Strawberry Diseases Using CNN
June 24, 2026 – Present
Implemented a Convolutional Neural Network to classify strawberry leaf diseases using image data, improving early detection and crop health monitoring.
Hate Speech Detection Using Machine Learning
June 24, 2026 – Present
Developed a machine learning model to classify and filter hate speech in social media text using NLP techniques.
Blood Donation Database Using DBMS
June 24, 2026 – Present
Designed and implemented a relational database to manage blood donor records using SQL and DBMS concepts for efficient data handling.
Topic Modelling on News Articles
June 24, 2026 – Present
Applied NLP and unsupervised learning techniques (LDA) to identify hidden topics and trends in large collections of news articles.
EF SET English Certificate (C2 Proficient, 80/100)
Unknown
June 1, 2026 – Present
Full Stack Web Development
Spark Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong focus on AI and Machine Learning, aligning well with an AI Engineer role. The diversity of projects, from image classification to NLP and optimization, shows a broad interest and adaptability. The experience at 'The Data Tech Labs' with multiple AI-driven projects indicates a proactive and innovative mindset, which is beneficial for cultural fit in a dynamic tech environment. The academic nature of most projects, however, suggests a need to validate experience in a fast-paced, product-oriented setting.
Soft Skills & Operational Fit
The candidate's resume highlights professional skills such as Analytical Thinking, Problem-Solving, Effective Communication, Team Collaboration, Adaptability, Time Management, Research Orientation, Continuous Learning, and Critical Thinking. These indicate a strong foundation for operational fit and collaboration within a technical team. The project descriptions are clear and concise, suggesting good communication skills.