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AI Engineer with 1+ years in Machine Learning & Data Science, specializing in Deep Learning, LLMs, a
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AI Engineer and Computer Science graduate with strong foundation in C and Python, and a growing specialization in Data Science and Machine Learning. Proven ability to translate business problems into engineering solutions and ship secure, scalable, production-grade AI products.
MES College of Engineering
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Navamukunda Higher Secondary School
Higher Secondary Education
June 1, 2019 – May 31, 2021
IntouchCX
Operations Support Associate
August 1, 2025 – December 31, 2025
Bengaluru, Karnataka, India
Rubixe
Data Science & AI Consultant Intern
July 1, 2025 – March 31, 2026
Bengaluru, Karnataka, India
Rice Leaf Disease Detection System
January 1, 2026 – January 1, 2026
Developed an AI-powered rice leaf disease detection system using deep learning to identify and classify diseases in rice crops from leaf images. Leveraged Convolutional Neural Networks (CNN) and OpenCV-based image processing to accurately classify rice leaf diseases from real-world field photographs. Applied InceptionV3 architecture using TensorFlow and Keras for feature extraction and classification.
StudyMind AI - AI-Powered Study Assistant
January 1, 2026 – January 1, 2026
Built an AI-powered study assistant using React 18 + Vite and Groq API (LLaMA 3.1) to generate study plans, MCQs, and topic explanations from uploaded PDF/TXT notes. Implemented browser-side PDF text extraction with ArrayBuffer and fallback parsing strategies, ensuring compatibility across Safari, Chrome, and Firefox without backend support. Developed an AI study planner that creates a 6-week personalized learning schedule with topic-based progression and progress tracking for competitive exam preparation. Designed a real-time MCQ generator for UPSC, JEE, and NEET that produces difficulty-level questions, instant explanations, and performance metrics from users' own notes. Built a smart dashboard with daily AI-generated study topics, streak tracking, and accuracy analytics, and implemented localStorage-based authentication; deployed live on Render.
Collaborative Multi-Agent AI System
January 1, 2026 – January 1, 2026
Designed and developed a collaborative multi-agent AI system where 4 specialized AI agents autonomously plan, research, write, and review content on any given topic. Implemented a Message Bus architecture for inter-agent communication and a Shared Memory store to manage state and results across the agent pipeline. Integrated LLaMA 3.3 70B via Groq API with role-specific system prompts for each agent, enabling structured task delegation and collaborative problem solving. Built an interactive Streamlit web interface with real-time agent activity tracking, multi-tab output display, and one-click article download deployed live on Render.
Introduction to Power Query in Excel Basics Course
Microsoft
May 1, 2026 – Present
Data Science & AI Consultant Internship Experience Letter
Rubixe (Disruptive Technologies at Work)
July 19, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role through diverse personal projects that showcase initiative, continuous learning, and practical application of AI concepts. The projects cover multi-agent systems, computer vision, and AI-powered educational tools, indicating a broad interest and ability to tackle different problem domains. The internship experience, though brief, aligns with the target role's technical requirements.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, teamwork, and collaboration skills from academic activities. The 'Operations Support Associate' role, though not technical, suggests experience in fast-paced environments, managing tasks, and improving service quality, which are valuable operational traits. The internship at Rubixe also emphasizes collaboration and problem-solving.