Soham Sahasrabudhe
@sohamsahasrabudhe
Computer Engineering undergraduate building scalable cloud and AI solutions from idea to deployment.
What I'm looking for
I’m a high-performing, motivated Computer Engineering undergraduate with a strong foundation in programming, data structures, and algorithmic problem-solving. I focus on building scalable, efficient systems that turn ideas into usable products.
I’ve trained in AI & ML and applied core concepts through hands-on work with Python libraries like pyttsx3 and OpenCV. One of my projects included developing a voice assistant for personal use, reinforcing my approach to learning by building.
I also enjoy cloud-based development and deploying applications on AWS using services like EC2, S3, IAM, Lambda, and CloudWatch. I’m passionate about using cloud technologies to create reliable and maintainable systems.
Through projects like a responsive accommodation booking website (built with HTML, CSS, JavaScript and deployed on Vercel) and an AI-based road safety system for real-time ambulance detection and smart signal priority, I’ve learned to combine web/app development with AI problem-solving. I bring a product innovation mindset and keep improving through continuous learning.
Experience
Work history, roles, and key accomplishments
AI & ML Training
Domain Education
May 2023 - Jul 2023 (2 months)
Completed hands-on AI & ML training covering core concepts of artificial intelligence and machine learning. Built practical projects including a personal voice assistant using Python libraries such as pyttsx3 and OpenCV.
Education
Degrees, certifications, and relevant coursework
Dr DY Patil Institute of Engineering and Technology
Computer Engineering, Computer Engineering
2024 - 2027
Studying Computer Engineering at Dr DY Patil Institute of Engineering and Technology from July 2024 to June 2027.
Maharashtra State Board Of Technical Education
Diploma in Computer Engineering, Computer Engineering
Grade: 88.63%
Completed a Diploma in Computer Engineering in June 2024, scoring 88.63%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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