Open To Work
Hi, I’m
KESHAV SHARMA
Kolkata
Summary
Aspiring cybersecurity and machine learning professional with a strong foundation in emerging technologies and a commitment to continuous improvement. Expertise in identifying opportunities for technological enhancements and implementing innovative solutions that drive efficiency. Proficient in leveraging cutting-edge tools and methodologies to address complex challenges and boost productivity. Thrives in dynamic environments, consistently contributing to the advancement of technology and organizational goals.
Overview
1
Certificate
Education
KALINGA INSTITUTE OF INDUSTRIAL TECHNOLOGYOdisha, India
Bachelor of Technology from COMPUTER SCIENCE AND ENGINEERING
05-2026
University Overview
GPA: 7.61/10.00
Skills
- Experience with Kali Linux
- Security assessment
- Proficient in Metasploit usage
- Burp Suite utilization
- Nessus vulnerability scanning
- Traffic monitoring expertise
- Web application penetration testing
- SQL injection detection
- Web application security knowledge
- CSRF vulnerability mitigation
- Understanding of SSRF vulnerabilities
- Threat identification and evaluation
Certification
Learn Ethical Hacking From Scratch, Udemy, 08/25/25, Completed an intensive 16+ hour technical training program focused on the end-to-end process of ethical hacking and network security. Gained hands-on experience in exploiting and securing both wired and wireless networks, while mastering penetration testing methodologies., https://www.udemy.com/
Languages
English
Hindi
Python
C
Java
SQL
JavaScript
Work Preference
Job Search Status
Open to workWork Type
Full TimePart TimeContract WorkLocation Preference
HybridOn-SiteSalary Range
₹45000/yr - ₹200000/yrTimeline
KALINGA INSTITUTE OF INDUSTRIAL TECHNOLOGY
Bachelor of Technology from COMPUTER SCIENCE AND ENGINEERING
Project
Project 1: Disease Prediction System
Technologies: Python, Flask, Scikit-learn, XGBoost, Google Gemini AI API, Pandas, JavaScript, Ngrok
- Developed a high-accuracy, 3-tier Disease Prediction System using a Flask backend and HTML/JS frontend to analyze user-inputted symptoms through Ensemble Learning.
- Engineered a custom probability-averaging logic that combines Random Forest and XGBoost classifiers to significantly increase prediction stability and accuracy.
- Integrated the Google Gemini AI API to synthesize raw diagnostic data into conversational, empathetic medical explanations and actionable home-care suggestions.
- Optimized model performance for imbalanced medical datasets by implementing stratified splitting and the compute_class_weight function, ensuring reliable detection of rare diseases.
- Implemented a responsive UI featuring AJAX-based asynchronous communication and an autocomplete search bar for a seamless, interactive user experience.
Technologies: Python, OpenCV, Scikit-learn, NumPy, Matplotlib
- Designed a real-time computer vision system for high-risk security environments, achieving a 15% reduction in false-positive rates through rigorous testing on diverse datasets.
- Built advanced image preprocessing pipelines utilizing Gaussian blurring and Canny edge detection to isolate and extract key features of sharp objects.
- Optimized detection algorithms to process live video frames at 30+ FPS, ensuring low-latency monitoring for critical, security-sensitive applications.
- Fine-tuned Machine Learning classification models to distinguish between hazardous objects (such as knives and blades) and mundane items with high precision.