Full Stack Engineer with 1+ years in Python & Next.js
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer – Built Python + Next.js based systems, designed REST APIs, optimized SQL queries, and integrated ML models for predictive analytics.
SNJB's Late Sau K B Jain College of Engineering
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2025
MVP's Janata English School & Jr. College
Higher Secondary Education (HSC)
N/A – May 31, 2021
The Toro Company
Intern
November 1, 2025 – Present
Pune, Maharashtra, India
Webteam Private Limited
Full Stack Developer Trainee
July 1, 2025 – September 1, 2025
Pune, Maharashtra, India
Youth Dreamers Foundation
DevOps Intern
November 1, 2024 – February 1, 2025
Nashik, Maharashtra, India
LactVivechaka - Milk Quality Prediction
June 28, 2026 – Present
Processed 1000+ datasets and performed extensive feature engineering, enhancing predictive accuracy for milk quality analysis. Implemented SVM (88% accuracy) and Random Forest (99% accuracy) models, delivering highly reliable classification results. Developed Flask-based APIs for prediction and analysis, ensuring fast and scalable model deployment. Built a responsive Next.js front-end integrated with Firestore, streamlining data input and real-time result visualization
CRM Kitty
June 28, 2026 – Present
Built RESTful APIs with <200 ms response time, integrated JWT to secure API endpoints.. Developed a B2B SaaS CRM with Role Based Access(RBAC) and custom sites. Integrated relational database (SQLite) and ORM, utilized Alembic for managing database migrations.
Issued a patent for LactVivechaka Project and algorithms.
Unknown
June 1, 2026 – Present
Solved 300+ problems across platforms like Hackerrank, LeetCode and GeeksforGeeks.
Unknown
June 1, 2026 – Present
Scholarship Recipient: Youth Dreamers Foundation Scholarship for Academic Excellence.
Youth Dreamers Foundation
June 1, 2026 – Present
Python Programming Certification
Besant Technologies
November 1, 2024 – December 1, 2024
Cultural Fit Analysis
The candidate's involvement in both personal and academic projects, along with diverse internship experiences (Full Stack, DevOps, ML-focused), suggests a broad interest in technology and a proactive learning attitude. The 'Youth Dreamers Foundation' internship and scholarship indicate community involvement and a drive for academic excellence. The range of technologies used across projects (Python, Node.js, Next.js, Laravel, Flask, Firebase, Scikit-learn) demonstrates versatility and an ability to adapt to different tech stacks, which is beneficial for cultural fit in dynamic environments. The patent for the 'LactVivechaka' project highlights an innovative and entrepreneurial spirit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on quantifiable improvements (e.g., 30% improvement in data retrieval speed, 25% reduction in page load times). Experience in diverse roles (Full Stack Developer Trainee, Intern, DevOps Intern) suggests adaptability and a willingness to learn across different technical domains. The academic project 'LactVivechaka' and the associated patent indicate innovation and a proactive mindset. However, without direct assessment data on communication or teamwork, these aspects are inferred from project descriptions.