Software Engineer with less than a year in IoT, AI/ML and software development.
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Highly motivated and results-driven Software Engineer Intern with 8 months of experience in developing and deploying intelligent systems. Skilled in machine learning, IoT, and full-stack web development. Proven ability to contribute to cellular connectivity initiatives, optimize firmware, and build robust applications for smart agriculture and cybersecurity. Eager to leverage strong technical skills and problem-solving abilities to drive innovative engineering solutions.
University of Visvesvaraya College of Engineering (UVCE)
M.Tech · Computer Science and Engineering
August 1, 2024 – Present
Don Bosco Institute of Technology (VTU)
B.E. · Computer Science and Engineering (AI & ML)
August 1, 2020 – June 30, 2024
SPAN.IO Technology India Pvt. Ltd.
Software Engineer Intern
April 1, 2026 – Present
Bengaluru, Karnataka, India
CLIICXNET India Pvt. Ltd.
AI/ML Intern
August 1, 2025 – December 1, 2025
Pune, Maharashtra, India
Earth Observatory Web Application
January 1, 2025 – July 1, 2025
Developed a web platform integrating weather, soil, and environmental datasets. Implemented an ML-powered crop recommendation system for precision agriculture.
DDoS Attack Detection System
January 1, 2025 – July 1, 2025
Built a machine learning-based system to detect application-layer DDoS attacks. Applied anomaly detection techniques on network traffic datasets.
Age & Gender Prediction
January 1, 2025 – July 1, 2025
Developed a computer vision application for real-time age and gender prediction. Implemented CNN-based image classification and OpenCV preprocessing.
Python
HackerRank
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Introduction to Data Science
Cisco
June 1, 2026 – Present
Introduction to Generative AI
June 1, 2026 – Present
Agentic AI Fundamentals
Hugging Face
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects span computer vision, web applications, and cybersecurity, demonstrating a broad interest in different technical domains. The internships in AI/ML and Software Engineering (IoT focus) show adaptability and a willingness to explore varied roles. The certifications in Python, SQL, and AI fundamentals indicate a proactive approach to learning and skill development, which aligns with a culture of continuous improvement. The blend of academic and practical experience suggests a good fit for a dynamic, technically driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on diverse technical challenges. The academic projects indicate problem-solving skills and an interest in applying machine learning to practical scenarios. The current internship involves collaboration on cellular connectivity and firmware, implying an operational fit for roles requiring hands-on technical work and debugging.