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Backend Development Intern with less than a year in FastAPI, PostgreSQL, and Machine Learning.
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Assessing your cultural and operational fit
Final-year Computer Science Engineering student with hands-on experience in backend development, API design, database management, and enterprise application migration. Currently contributing to the migration of a Java Spring Boot application to FastAPI using PostgreSQL, SQLAlchemy, and Alembic. Skilled in Python, FastAPI, REST APIs, Git-based development workflows, and machine learning with a strong interest in backend systems and scalable software engineering.
Jain College of Engineering and Technology
Bachelor of Engineering (B.E) · Computer Science Engineering
August 1, 2022 – June 30, 2026
Impulse PU Science College
Pre-University (PU) · Science
N/A – May 31, 2022
St Ann's High School
High School
N/A – May 31, 2020
Aultum Inc.
Backend Development Intern
May 1, 2026 – Present
Hubli, Karnataka, India
Eduexpose
Machine Learning Intern
April 1, 2025 – June 30, 2025
India
Tic-Tac-Toe Using Hand Gesture Recognition
June 16, 2026 – Present
Developed a touchless Tic-Tac-Toe game using OpenCV and computer vision techniques. Implemented real-time hand gesture detection to enable user interaction without physical input devices. Integrated gesture tracking with game logic to provide an interactive gaming experience.
Packet Sniffing with Geo Location Tracer
June 16, 2026 – Present
Developed a network monitoring tool capable of capturing and analyzing packet traffic. Integrated IP geolocation services to visualize packet origins on an interactive map. Utilized Python, Wireshark, and Folium for packet analysis and geographic visualization.
Network Traffic Classification System using Machine Learning
June 16, 2026 – Present
Built a Django-based data pipeline to capture and analyze live network traffic, processing approximately 100-300 packets per minute. Performed data preprocessing and feature engineering to extract 24 network flow features for machine learning model training. Trained and evaluated a Random Forest multi-class classification model to categorize 11 different traffic types using publicly available Kaggle datasets. Successfully distinguished multiple Denial-of-Service (DoS) attack variants from benign network traffic through supervised learning techniques. Implemented protocol-level filtering for TCP, UDP, and ICMP traffic to improve dataset quality and enhance model performance.
HTML & CSS Bootcamp Certificate
LetsUpgrade
June 1, 2026 – Present
JavaScript Bootcamp Certificate
LetsUpgrade
June 1, 2026 – Present
Computer Vision with OpenCV and Python
Udemy
June 1, 2026 – Present
Problem Solving (Basic)
HackerRank
June 1, 2026 – Present
Software Conceptual Design
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in computer vision, network analysis, and machine learning, indicating a broad technical curiosity. Their current internship aligns directly with backend development, demonstrating a clear career path. The involvement in an enterprise migration project suggests an ability to adapt to new technologies and contribute to significant initiatives. The breadth of skills listed (Python, Java, C++, JavaScript, SQL, FastAPI, Django, PostgreSQL, MySQL, MongoDB, Git, GitHub, TensorFlow, OpenCV) indicates a willingness to learn and engage with various technologies, which is positive for cultural fit in a dynamic environment. However, as an intern, the depth of experience in each area is limited.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, communication, critical thinking, and time management as soft skills. Their project descriptions, especially the 'Network Traffic Classification System', suggest practical application of problem-solving and critical thinking. The current internship at Aultum Inc. involves collaboration through Git/GitHub, indicating exposure to team-oriented development practices. However, without direct assessment, the depth of these soft skills cannot be fully validated.