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Entry-level AI Engineer with strong Python and Machine Learning skills
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Akash Bodkhe is an aspiring AI Engineer with a B.Tech in Computer Science (AIML) graduating in 2025. He possesses strong technical skills in Python, coupled with proficiency in libraries and frameworks such as NumPy, Pandas, Matplotlib, NLTK, and PyTorch. Akash has applied his skills to develop notable projects, including a Whatsapp Chat Analyzer and an SAR Image Colorization system utilizing deep learning concepts. He is also a multi-instrumental artist and holds leadership positions in college clubs.
Yeshwantrao Chavan College of Engineering
B.Tech. · CSE(AIML)
August 1, 2021 – June 30, 2025
Tip Top Convent Higher Secondary School
CLASS XII · HSC
June 1, 2020 – May 31, 2022
Tip Top Convent Secondary School
CLASS X · SSC
June 1, 2018 – May 31, 2020
Whatsapp Chat Analyzer
June 1, 2026 – Present
The project that helps us to get Analysis over the complete chats of any group and one-to-one chat. It give us the Keywords that are mostly used, in a group most active members, and also media upload frequency.
Badminton Game
June 1, 2026 – Present
Developed a Two player Badminton game where two individual users can play it competing each other.
SAR Image Colorization
June 1, 2026 – Present
This project is based on with the purpose of getting the original grey scale satelite images into an optical coloured images. SAR (Synthetic Aperture Radar) give a grey scale image and by applying the Deep learning concepts like CNN and GANs that Grey Scaled images are converted into the coloured images for better human interpretation.
Python for Data Science
NPTEL (IIT MADRAS)
June 1, 2026 – Present
Introduction to Machine Learning
NPTEL (IIT MADRAS)
June 1, 2026 – Present
Power BI: Software for Data Visualization
Infosys Springboard
June 1, 2026 – Present
Deep Learning for Developers
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI/ML applications, aligning well with an AI Engineer role. Their involvement in extracurricular activities like the Seven Strings Club and multi-instrumental artistry suggests a well-rounded individual with diverse interests, which can contribute positively to team dynamics. The academic nature of all projects, however, means there's no direct evidence of experience in a corporate or startup culture.
Soft Skills & Operational Fit
The candidate has demonstrated leadership and organizational skills through their role as President of the Seven Strings Club, coordinating musical events and collaborations. This indicates a proactive attitude and ability to work in a team setting. However, without specific work experience, their operational fit in a professional AI engineering environment is yet to be fully assessed.