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Python Engineer with less than a year in Django & REST APIs
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Assessing your cultural and operational fit
Highly motivated B.Tech CSE (AI & Data Science) student with a strong foundation in Python, Django, and REST APIs. Proven ability to develop scalable backend services, design robust APIs, and optimize database performance through academic projects and an internship at Zenerotech Pvt. Ltd. Eager to apply machine learning skills to real-world problems and contribute to innovative solutions in software development.
CGC University, Mohali
B.Tech · Computer Science and Engineering (AI & Data Science)
August 1, 2023 – June 30, 2027
GGSSS Santokhgarh
10th
N/A – May 31, 2021
GGSSS Santokhgarh
12th
N/A – May 31, 2023
Zenerotech Pvt. Ltd.
Python Intern
June 1, 2025 – July 1, 2025
Mohali, Punjab, India
ScamShield: AI-Based Fake Job & Scam Detection System
January 1, 2026 – June 1, 2026
Developed an NLP-based scam detection system using TF-IDF and Machine Learning techniques. Built REST APIs for real-time fraud detection and risk assessment. Designed a hybrid fraud scoring engine combining ML predictions and rule-based validation. Analyzed job posting data to identify phishing attempts, payment scams, and suspicious patterns.
View ProjectExpenseIQ
January 1, 2026 – June 1, 2026
Built scalable backend services and CRUD modules using Python, Django, and Django REST Framework (DRF). Designed and developed RESTful APIs for transactions, user management, and analytics using HTTP/JSON. Implemented data aggregation and filtering logic to generate real-time financial insights. Optimized MySQL database queries using indexing, reducing API response time by 30%.
View ProjectNeural Networks and Deep Learning
DeepLearning.AI (Coursera)
June 1, 2026 – Present
Data Engineering
AWS Academy Graduate
June 1, 2026 – Present
Generative AI
AWS Academy Graduate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards backend development and AI/ML, which aligns well with a Python Engineer role. The academic projects and internship demonstrate a proactive and hands-on approach to learning and problem-solving. The diversity in projects (expense tracking, scam detection, SEO analyzer) indicates adaptability and a broad interest in applying technical skills to different domains. The certifications in AI/ML and Data Engineering suggest a commitment to continuous learning and staying current with industry trends. However, the limited professional experience (one internship) means the depth of cultural fit in a long-term team setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems (e.g., real-time financial insights, fraud detection) and collaborate with others (e.g., frontend developers). The internship experience shows practical application of skills in a professional setting. However, without specific psychometric or English test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.