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Python Engineer with 2+ years in Django & Machine Learning
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Python Backend Developer with 1+ years of hands-on experience in developing scalable web applications, designing REST APIs, and integrating machine learning models into backend services. Proficient in Django, Flask, Celery, and relational databases. Strong foundation in data pipelines, automation, and backend architecture focusing on performance and clean code. Adept at delivering scalable backend systems that enhance automation, operational efficiency, and data-driven decision-making. Known for strong communication, analytical thinking, troubleshooting, and the ability to work well under pressure.
Axis Institute of Technology and Management (AKTU)
Bachelors of Technology · CS
August 1, 2020 – June 30, 2024
Shivagi group of institution
XII
June 1, 2019 – May 31, 2020
Shivagi group of institution
X
June 1, 2018 – May 31, 2019
TenderNews
Python Developer
February 1, 2025 – July 1, 2025
India
Extremum Analytics
Associate Analyst Intern
July 1, 2024 – January 1, 2025
India
Wizklub Learning Private Limited
Technical Support Engineer
May 1, 2023 – December 1, 2023
India
CodeClause Pvt. Ltd
Data Science Intern
January 1, 2023 – April 1, 2023
India
Bulk Email Validation Tool
June 1, 2026 – Present
Designed a Tkinter-based desktop application for real-time email validation with a clean, responsive UI. Integrated filtering by member number, registration date, and status, with live updates and auto-refresh logic. Implemented multi-threaded email validation to maintain UI responsiveness during SMTP and syntax checks. Used SQL Server as the backend database with pagination and partial save functionality to handle large datasets. Enabled report export and dynamic Treeview display with search and filtering features.
Social Media Dashboard
June 1, 2026 – Present
Integrated OAuth2 authentication for Instagram and Twitter APIs. Implemented Celery with Redis to fetch and manage social media posts asynchronously. Designed RESTful APIs for post management, comments, and likes.
Virtual Mouse Using Hand Gesture Recognition, AI, and ML
June 1, 2026 – Present
Developing and fine-tuning machine learning models to accurately interpret hand movements.
Automatic Attendance Management System
June 1, 2026 – Present
Engineered a cutting-edge attendance management system leveraging machine learning algorithms and facial recognition technology on a Linux platform; achieved a 40% reduction in manual data entry errors and saved over 100 hours monthly. Integrated Raspberry Pi 3 to automate control of classroom appliances. Website Optimized web page performance for faster loading and browsing by redesigning and modifying web pages.
Sentiment Analysis
June 1, 2026 – Present
The machine learning models achieved high accuracy in sentiment classification with an accuracy score of over 90%.
Advanced Parking Management System
June 1, 2026 – Present
Users and stakeholders praised the system's effectiveness Increased parking revenue by 25% through automated ticketing and optimized pricing strategies.
Data Science training
Ducat Institute Onsite
June 1, 2026 – Present
Certificate in MySQL
June 1, 2026 – Present
Certificate in Artificial Intelligence and Machine Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI/ML, web development, and automation tools, indicates a broad interest in technology and a willingness to explore different domains. The experience as an Associate Analyst Intern and Data Science Intern, alongside a Python Developer role, shows adaptability and a continuous learning mindset. The involvement in college cultural events suggests a team-oriented and engaged individual. The target role of Python Engineer aligns well with the candidate's core technical skills and project experience.
Soft Skills & Operational Fit
The candidate's resume highlights collaborative skills, analytical thinking, troubleshooting, and strong communication. Experience as a Technical Support Engineer suggests good client interaction and problem-solving abilities. The project descriptions indicate a results-oriented approach, with mentions of reducing manual efforts and improving efficiency.