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Python Engineer with less than a year in Backend Development & Data Science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated M.Tech Computer Science student seeking a Python Backend Developer / Data Engineering role to design and implement scalable backend systems, efficient data pipelines, and cloud-integrated solutions while leveraging Python, APIs, and large-scale data processing.
Global Academy of Technology, Bengaluru
M.Tech · Computer Science & Engineering
August 1, 2024 – June 30, 2026
Rajeev Institute of Technology, Hassan
B.E · Computer Science & Engineering
August 1, 2020 – June 30, 2024
White and Box (Tech Products and Services)
Data Science Intern
October 1, 2025 – January 1, 2026
India
DIATOZ Solutions Pvt. Ltd.
Python Intern
January 1, 2024 – June 1, 2024
India
Real-Time Network Intrusion Detection using PySpark & ML
June 1, 2026 – Present
Designed a distributed NIDS using PySpark for processing large network datasets. Applied Naive Bayes classifier with Python backend achieving 85% accuracy.
Secure Deduplication & Data Integrity Auditing for Cloud Storage (DIADD)
June 1, 2026 – Present
Built Python backend for secure cloud storage, enabling data deduplication, integrity checks, and optimized storage pipelines.
Quantum-Resistant Hybrid Blockchain for Secure Transactions
June 1, 2026 – Present
Developed a hybrid blockchain integrating ECDSA and CRYSTALS-Dilithium for secure transactions. Built smart contracts (Solidity), React.js frontend, and Python backend with MongoDB.
AI-Powered Chatbot with LangChain & LLMs
June 1, 2026 – Present
Created a PDF-based AI chatbot with Python backend, LangChain, Google Gemini LLMs, and FAISS. Streamlit UI provides real-time interactive querying.
Brain Tumor Detection & Segmentation using YOLO + SAM
June 1, 2026 – Present
Developed dual-stage framework using Python, YOLOv12n for rapid MRI tumor detection, and SAM 2.1 for pixel-level segmentation. Integrated data preprocessing pipelines for efficient ML training.
Agile Scrum
Infosys Springboard
June 1, 2026 – Present
Agile Kanban
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge technologies like blockchain, AI, and cybersecurity, indicating a proactive and innovative mindset. The diversity of projects (blockchain, AI chatbots, medical imaging, network security) suggests adaptability and a broad technical curiosity. However, the lack of professional experience beyond internships means cultural fit in a fast-paced, product-driven environment is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting strong problem-solving skills. The academic nature of most projects, however, means real-world operational experience in a team setting is less evident. Certifications in Agile Scrum and Kanban suggest an understanding of agile methodologies, which is positive for operational fit.