Harsh
Verma.
Pre-final year CS undergrad building scalable backend systems, full-stack applications, and applied ML research from Bengaluru, India.
About
Who I Am
I am a pre-final year Computer Science undergraduate with strong proficiency in data structures, algorithms, and object-oriented programming. I have hands-on experience in full-stack development, backend systems, REST APIs, and database design.
I have demonstrated my ability to build scalable software solutions through hackathons, projects, and applied research -- including a research paper on phishing detection submitted to the International Conference on Smart Futuristic Technology (ICSFT).
My goal is to join a product-based company as a Software Development Engineer Intern where I can contribute to building impactful, production-grade systems while continuing to grow as an engineer.
Full-Stack Dev
Python, Java, SQL, REST APIs
B.Tech CS
Dayananda Sagar University
Bengaluru
India
Seeking
SDE Intern / Entry-Level SDE
Journey
Experience & Education
Freelance Intern
Bengaluru, India
- Supported software development initiatives through technical documentation, data analysis, and requirement analysis.
- Assisted in backend logic planning and API-level design for ongoing projects.
- Collaborated with team members to improve development workflows and delivery efficiency.
B.Tech in Computer Science
Dayananda Sagar University, Bengaluru
- Core focus on data structures, algorithms, and object-oriented programming.
- Hands-on coursework in full-stack development, database design, and systems networking.
- Active participant in hackathons and applied research projects.
Portfolio
Featured Work
Smart India Hackathon 2025
Pre-Finalist
Designed and developed a working software prototype for a real-world industry problem. Implemented core features with focus on performance, correctness, and scalability under strict timelines.
E-Commerce Platform
Full-Stack Application
Built a full-stack web application using Python and SQL with secure user authentication. Implemented product catalog, cart management, and order workflows following REST principles.
Automated Classroom Monitoring
Real-time ML System
Developed a real-time monitoring system using live camera feeds and machine learning models. Automated activity detection and data processing for scalable classroom monitoring.
Networking & Systems Projects
Low-Level Networking
Implemented client-server applications using TCP/IP to understand low-level networking behavior, socket programming, and distributed system communication patterns.
Toolkit
Technical Arsenal
Programming Languages
DSA & Engineering
Backend & Web
Databases
Tools & Platforms
Systems & Networking
Certifications
Amazon Web Services
Deloitte
Walmart
Mastercard
Infosys
Research
Academic Research
Email Header Analysis for Phishing Detection
International Conference on Smart Futuristic Technology (ICSFT)
Applied machine learning and explainable AI (XAI) techniques to detect anomalies in email metadata. The research focuses on analyzing header fields to identify phishing attempts, providing transparent and interpretable model decisions for cybersecurity applications.
Research paper submitted to ICSFT