AI Engineer with 1+ years in Full-stack Development & Machine Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Enthusiast and Software Developer with hands-on experience in Machine Learning, Deep Learning, and full-stack application development. Skilled in Python, data preprocessing, model building, and deployment using frameworks such as Scikit-learn, TensorFlow, and Flask/Streamlit. Built predictive AI systems including stock price forecasting and house price prediction models. Passionate about solving real-world problems using Artificial Intelligence, Generative AI, and Data-Driven systems.
BMS College of Engineering
Master of Computer Applications
August 1, 2024 – June 30, 2026
SDM College of Business Management
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
Microdegree
Internship
December 1, 2024 – Present
Mangalore, Karnataka, India
E-commerce Web Application using Django
June 18, 2026 – Present
Built a full-stack e-commerce platform with user authentication, product catalog, and order management system. Designed backend APIs and database schema to handle transactions and user workflows efficiently.
MediVoice AI Voice-First Medical Appointment Assistant
June 18, 2026 – Present
Developed an AI-powered multilingual voice assistant for booking, rescheduling, and cancelling medical appointments using Gemini AI and Web Speech APIs. Built RESTful backend services and an admin dashboard with Node.js, Express.js, and Supabase for efficient appointment and patient management.
AI Chatbot using NLP APIs
June 18, 2026 – Present
Developed a full-stack chatbot using React and Node.js integrating NLP APIs. Designed RESTful APIs for communication and implemented email notifications using NodeMailer. Secured 2nd place in a national-level hackathon.
LSTM-Based Stock Market Prediction System
June 18, 2026 – Present
Built a stock price prediction model using historical data with improved accuracy. Used HTML, CSS, JavaScript, Flask, Python, yfinance, and LSTM model.
RAG Chatbot using LangChain and OpenAI
June 18, 2026 – Present
Developed a Retrieval-Augmented Generation chatbot using LangChain and OpenAI APIs to provide context-aware responses from custom documents and datasets. Implemented document retrieval, prompt engineering, and conversational memory to improve response accuracy and user interaction.
ISRM
Unknown
June 1, 2026 – Present
DevOps
Unknown
June 1, 2026 – Present
Robotics Automation
Unknown
June 1, 2026 – Present
HPE Data Science and Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce to various AI applications (chatbots, prediction systems, voice assistants), indicates a broad interest in technology and a willingness to explore different domains. The focus on AI/ML and Generative AI aligns well with an 'AI Engineer' target role. The inclusion of team collaboration as a soft skill and participation in a hackathon suggests a collaborative and competitive spirit. However, the experience is primarily academic and personal projects, with limited professional experience, which might require more mentorship in a corporate setting.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, research mindset, and team collaboration as soft skills. These are highly relevant for an AI Engineer role, which often requires complex problem-solving, data analysis, continuous learning, and collaborative development. The project descriptions also suggest an ability to work on diverse technical stacks and integrate various APIs, indicating adaptability.