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@pradipsahsonar
Aspiring machine learning engineer and full-stack developer focused on AI-driven web applications.
I am a B.Tech Computer Science student at Amrita Vishwa Vidyapeetham with a focus on AI/ML, web development, and sustainability-driven solutions.
I have built AI-driven projects including a full-stack sustainability dashboard that supported 150+ retail users, predicted waste from 1,200+ data points, and automated 250+ sustainability reports; and a TensorFlow-based kidney disease classifier deployed via a Flask web app.
I published work on an IoT and blockchain accident-prevention system at ICCNT (IIT Mandi), earned the Amrita Chancellor’s Scholarship (top 5% of class), and have led events and community campaigns; I seek to apply my ML and full-stack skills to impactful, real-world problems.
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Work history, roles, and key accomplishments
Amrita Vishwa Vidyapeetham
Apr 2025 - Present (7 months)
Built a full-stack sustainability dashboard with AI insights supporting 150+ retail users and predicting waste from 1,200+ data points. Automated generation of 250+ sustainability reports with carbon metrics using jsPDF to improve reporting efficiency.
Amrita Vishwa Vidyapeetham
Oct 2024 - Present (1 year 1 month)
Developed a deep-learning CT image classifier using TensorFlow with MLflow and DVC for model tracking and data versioning. Deployed a Flask web app that provides color-coded predictions for users uploading CT images.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Science and Engineering
2023 -
Grade: CGPA 8.25
Activities and societies: Amrita Chancellor’s Scholarship (top 5%, ₹500,000); Mahatma Gandhi Scholarship (₹48,000); DecodeX Case Competition — Top 10 of 9,300+; event organizer (250+ participants); led college cricket team; Global Seed-ball Campaign volunteer.
Pursuing Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham since August 2023 with a CGPA of 8.25. Coursework and projects focus on data structures, operating systems, DBMS, web development, UI/UX, and AI/ML; notable projects include EcoRetail Insight (AI-driven sustainability dashboard) and a Kidney Disease Classifier (deep learning web app).
Software and tools used professionally
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