aditya verma
@adityaverma4
Computer Science student specializing in ML, Python, and AI engineering.
What I'm looking for
I am a Bachelor of Technology in Computer Science Engineering student with hands-on experience building machine learning pipelines and AI-driven applications. I have contributed as a tech intern working on data extraction, processing pipelines and learning to develop AI agents.
I developed Neurovia, an endoscopy-assist application using a ResNet50 model and video frame extraction with ffmpeg, demonstrating applied deep learning for medical imaging. I also built a full-stack Java gaming app (Tic-Tac-Toe, Snake, Quiz) using Java Swing and MySQL, which was presented at a university expo.
My internship at ScaleBrandsLab involved creating pipelines for data extraction and processing and exploring AI agent development, further strengthening my practical engineering skills. I have a strong foundation in Python, machine learning, mathematics and Java, backed by academic performance (CGPA 8.53/10) and multiple competition placements.
I am motivated by building impactful AI systems and end-to-end applications, and I bring a collaborative, results-oriented approach to engineering projects and internships.
Experience
Work history, roles, and key accomplishments
Tech Intern
ScaleBrandsLab
May 2025 - Present (4 months)
Built data extraction and processing pipelines and contributed to early-stage AI agent development for lab projects, improving data readiness for model training.
Education
Degrees, certifications, and relevant coursework
SRM Institute of Science and Technology
Bachelor of Technology, Computer Science and Engineering
2023 -
Grade: 8.53/10
Activities and societies: Participated in intercollege competitions and hackathons; awarded 2nd prize in Integration Bee, 2nd prize in Tech Exhibit, and 4th prize in a Hackathon.
Pursuing a Bachelor of Technology in Computer Science and Engineering with coursework and projects in machine learning, full-stack Java development, and computer vision; current CGPA 8.53/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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