AI Engineer with less than a year in Machine Learning & Cybersecurity
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hementh Nichil G is an aspiring AI Engineer with 6 months of experience in developing end-to-end AI financial dashboards, integrating advanced AI models like Google Gemini, and optimizing data layers. Currently pursuing a Bachelor of Technology in Computer Science with a specialization in Cyber Security, Hementh has a strong foundation in low-level system design, kernel development, and machine learning, demonstrated through various projects including a Linux Kernel Rootkit and an SQL Chatbot. Recognized for analytical and statistical forecasting skills in competitive environments, Hementh is actively contributing to cutting-edge mixed reality projects and holds multiple industry certifications.
Manipal Institute of Technology
Bachelor of Technology · Computer Science, Specialization in Cyber Security
August 1, 2022 – August 1, 2026
KPMG India
Engineering Intern
January 1, 2026 – Present
India
Linux Kernel Rootkit
April 1, 2025 – Present
Developed a Linux Kernel Level rootkit that can elevate permissions to sudo and hide itself from the process list. Used function hooks to hijack system calls to be redirected for unintended purposes. Learnt a lot about kernel design and how it works. Understood core kernel functions to be able to hijack parts of it.
MRIG - Student Project
April 1, 2025 – Present
Working on 3D reconstruction utilizing a wrapper to extract depth and video data streams via Infrared and RGB cameras from an Xbox Kinect to create dynamic 3D meshes. Collaborating as a core software team member in the college-backed Mixed Reality and Integrated Gestures project.
Cisco Forecast League
April 1, 2025 – Present
Selected as 1 of 18 teams, from 169 teams across Bengaluru to advance to Phase 2, ranking 5th overall in Phase 1 with a forecast accuracy of 91.35% for quarterly demand prediction of 20 Cisco products using historical data. Achieved 2nd place within college in Phase 2 with an average forecast accuracy of 89.19%. Demonstrating strong analytical and statistical forecasting skills in a competitive, data-driven environment with team members to interpret results and present actionable insights.
6502 Chip Emulator
September 1, 2023 – Present
Developed a 6502 microprocessor emulator in C, implementing full instruction sets for memory manipulation and low-level architectural replication. Built a strong foundation of low-level design that has been broadly used in the last few decades of processor architecture.
SQL Chatbot
September 1, 2023 – Present
Developed a web interface that allows you to "chat"/interact with any database system. Allows the user to give natural language input and receive natural language output about the database. Used a popular LLM with over 3 billion parameters to deliver accurate results and minimise hallucinations.
Oracle SQL Databases
IBM
June 1, 2026 – Present
Foundations of Cybersecurity
June 1, 2026 – Present
Cybersecurity Essentials
Cisco
June 1, 2026 – Present
Pentesting Fundamentals
Packt
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from low-level systems to AI/ML applications and cybersecurity, suggests a broad intellectual curiosity and adaptability. Their academic background in Computer Science with a specialization in Cyber Security, combined with practical AI/ML experience, aligns well with an AI Engineer role that might require understanding of secure and robust system design. The competitive nature of the Cisco Forecast League also indicates a drive for excellence and results.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex projects like the Linux Kernel Rootkit and 6502 Emulator. Their involvement in team-based academic projects (MRIG, Cisco Forecast League) indicates an ability to collaborate and interpret results. The KPMG internship highlights an operational fit for end-to-end project delivery and architectural thinking.