Software Engineer with 1+ years in Machine Learning, Computer Vision, and Generative AI, with 1.0 Ye
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Assessing your cultural and operational fit
Final-year Computer Engineering student (Expected Graduation: July 2026) specialising in Machine Learning, Computer Vision, and Generative Al. Proven ability to design, train, and deploy Al-driven applications in production environments using Python, TensorFlow, PyTorch, and AWS.
MIT Academy of Engineering, Pune
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
Kendriya Vidyalaya, O. F. Varangaon
CBSE Class XII
June 1, 2020 – May 31, 2022
Orion CBSE School, Jalgaon
CBSE Class X
June 1, 2013 – May 31, 2020
IPride Solutions and Services
Machine Learning Intern
June 28, 2025 – June 10, 2026
India
Ammunition Factory Khadki
Frontend Web Development Intern
July 8, 2024 – August 7, 2024
India
CrayFit: AI Diet Planner
June 18, 2026 – Present
• Built a deep learning model achieving 88% accuracy in 5 epochs for personalized diet planning. • Generated non-repetitive 7-day meal plans based on user health parameters. • Integrated MapBox, Stripe, and Kafka for real-time delivery tracking and payments.
EdTech Platform with Career Counseling Chatbot
June 18, 2026 – Present
• Designed an NLP-powered chatbot that analyzes student inputs to recommend suitable careers and courses. • Built a web-based interface enabling personalized guidance based on interests, skills, and academics. • Integrated ML-based intent classification and response generation for automated counseling.
Sentiment Analysis using Python
June 18, 2026 – Present
• Developed an NLP-based sentiment analysis system with 84% accuracy on financial news data. • Processed real-time market data and visualized sentiment trends using Matplotlib.
AN AI BASED DIET PLANNING SYSTEM FOR INDIVIDUALS
IPR Published under Patent Application
July 4, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI diet planning, sentiment analysis, and an EdTech chatbot, shows a broad interest in applying AI to different domains. Their involvement in hackathons and student associations suggests a collaborative and engaged approach, which aligns well with a dynamic engineering culture. The target role of 'Software Engineer' is well-aligned with their demonstrated skills in ML/AI development and system integration.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through participation in hackathons and a patent publication. Project descriptions indicate an ability to work on diverse tasks and integrate various technologies. The internship experience suggests an ability to contribute to real-world projects and improve operational efficiency (e.g., reducing attendance time).