AI Research Engineer with 1+ years in Machine Learning, Data Science, and Python
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Assessing your cultural and operational fit
Detail-oriented engineering graduate with hands-on experience in Machine Learning, data analysis, and software development. Proficient in Python and data-driven problem solving. Seeking opportunities across Machine Learning, Data Science, AI, and software engineering to contribute to impactful, real-world solutions.
Kakinada Institute of Technology
M.Tech · Artificial Intelligence and Machine Learning
January 1, 2024 – June 1, 2026
Vellore Institute of Technology
Bachelor of Technology · Computer Science & Engineering
January 1, 2019 – January 1, 2023
Tirumala Junior College
Intermediate · MPC
January 1, 2017 – January 1, 2019
Tirumala Proactive School
Secondary School Certificate (SSC)
January 1, 2016 – January 1, 2017
Aeronautical Development Establishment (DRDO)
Graduate Apprentice Trainee
February 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Helmet Detection System using using Deep Residual Learning
June 1, 2026 – June 1, 2026
Developed a real-time helmet detection system to monitor rider safety using deep learning and computer vision. Built and trained a custom CNN model, achieving 95% detection accuracy on real-world video data. Implemented live video stream analysis using OpenCV for continuous monitoring in safety-critical environments. Deployed the application with Django and Tkinter for user interaction and visualization.
View ProjectGesture-Based Volume Control System
June 1, 2026 – June 1, 2026
Designed a real-time hand gesture recognition system to control system volume without physical input devices. Utilized MediaPipe for accurate hand landmark detection and OpenCV for video processing. Integrated PyAutoGUI to map recognized gestures to system-level volume controls. Improved user experience through low-latency gesture detection and smooth control response.
View ProjectOffline AI Chat System (Private LLM Platform)
June 1, 2026 – June 1, 2026
Built a fully offline, ChatGPT-like AI system for secure, private usage in air-gapped environments. Implemented a Retrieval-Augmented Generation (RAG) pipeline for document-based question answering using local embeddings. Integrated Ollama and Open WebUI to deploy and manage local LLMs with zero cloud dependency. Focused on data privacy, security, and enterprise usability for confidential document interaction.
Web Application Technologies and Django
Coursera
June 1, 2026 – Present
Java Project Development
Cloud Technologies
June 1, 2026 – Present
Python for Data Science
IBM Developer Skills Network
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and professional experience at DRDO show a strong alignment with research and development in AI/ML, particularly in areas requiring secure, robust solutions. The diversity of projects (computer vision, LLMs, gesture control) indicates a broad interest and adaptability within the AI domain. The pursuit of an M.Tech in AI/ML further reinforces a commitment to the field. This profile suggests a good cultural fit for a role focused on innovation and technical depth in AI research.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on problem-solving, security, and user experience, suggesting an analytical and user-centric approach. The experience at DRDO implies an ability to work in structured, research-oriented environments and collaborate with senior scientists. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.