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AI Engineer with 1+ years in Machine Learning & Data Science
Detail-oriented and results-driven Data Analyst and AI/ML Engineer with hands-on experience in machine learning, deep learning, NLP, and data visualization. Proficient in Python, TensorFlow, PyTorch, and Scikit-learn, with a strong track record of building AI-powered solutions through academic projects and industry internships. Experienced in end-to-end model development, data pipeline design, and intelligent system architecture. Seeking to leverage technical expertise and analytical skills to deliver impactful data-driven solutions.
C Byregowda Institute of Technology (VTU)
BE · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Government High School, Kadugudi
SSLC · State Board
June 1, 2020 – May 31, 2020
Government PU College, Kadugudi
Pre-University · PCMCs (State Board)
June 1, 2020 – May 31, 2022
Besant Technology
AI & ML with Data Science Intern
January 1, 2026 – June 1, 2026
India
Pyspiders
Python with Data Science Intern
January 1, 2026 – June 1, 2026
India
AI Resume Screening System
January 1, 2026 – January 1, 2026
Engineered an automated resume screening and candidate ranking system using NLP and machine learning to streamline recruitment workflows. Implemented resume parsing, keyword extraction, and skill-matching algorithms to compare resumes against job descriptions. Reduced manual screening effort significantly, enabling faster and more accurate, data-driven hiring decisions.
SmartQuery – KG-RAG Assistant
January 1, 2026 – January 1, 2026
Developed an AI-powered question-answering system integrating Retrieval-Augmented Generation (RAG) with Knowledge Graphs for improved contextual accuracy. Built a semantic retrieval pipeline using embedding models and FAISS vector database to process PDF, TXT, and Markdown documents. Implemented entity-relationship extraction with NetworkX to enhance explainability and reduce hallucinations by 30%.
WaveID - EEG-Based Biometric Authentication
January 1, 2025 – January 1, 2025
Developed an EEG-based biometric authentication framework using machine learning and signal processing for secure identity verification. Implemented EEG signal preprocessing, artifact removal, feature extraction, and classification using SVM, Random Forest, and KNN models. Improved authentication accuracy and reliability, delivering a tamper-resistant real-time biometric security system.
Animal Image Classification using CNN
January 1, 2024 – January 1, 2024
Built a deep learning image classification system using Convolutional Neural Networks (CNN) to identify and categorize animal species from images. Performed data preprocessing, model training, and performance evaluation, achieving high accuracy in image recognition.
Vehicle Service Management System (VSMS)
January 1, 2024 – January 1, 2024
Developed a web-based vehicle service management platform to streamline service booking, customer management, and maintenance operations. Automated service tracking and communication workflows, improving operational efficiency between service providers and customers.
Technical Club Leader
AIML Department, CBIT
June 1, 2026 – Present
Workshop: Career Development – Skill Intern Program
Unknown
June 1, 2026 – Present
Workshop: Deep Learning and Machine Learning - Real-World Industrial Insights
Unknown
June 1, 2026 – Present
Workshop: Computer Networking using CISCO Packet Tracer
Unknown
June 1, 2026 – Present
1st Prize - Ideathon 2025
C Byregowda Institute of Technology (CBIT)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in various AI/ML domains, indicating a proactive and curious mindset. Participation in an Ideathon and leadership in a technical club suggest initiative and a collaborative spirit. The diverse range of projects (RAG, resume screening, biometrics, image classification) shows breadth of interest and adaptability, which are positive indicators for cultural fit in an innovative AI team. However, all projects are academic, and the internships are short-term, which might limit exposure to real-world team dynamics and large-scale production environments.
Soft Skills & Operational Fit
The candidate lists problem-solving, leadership, teamwork, communication, and adaptability as soft skills. Project descriptions indicate collaboration (e.g., 'Collaborated with team members' in Pyspiders internship) and problem-solving (e.g., reducing hallucinations by 30%). The role as 'Technical Club Leader' further supports leadership and teamwork. These align well with operational fit for an AI Engineer role requiring collaborative problem-solving.