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AI Engineer with less than a year in Python, Computer Vision & Generative AI
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AI&ML Engineer (2026 Graduate) with a strong foundation in Python, Computer Vision, and Model Development. Passionate about developing intelligent systems through machine learning, deep learning, and Generative Al technologies. Committed to writing clean, optimized code and solving complex problems through data-driven solutions. Seeking an internship or entry-level role to leverage skills in TensorFlow, PyTorch, and Software Development.
Impact College of Engineering and Applied Science, Bengaluru
B.E. in Computer Science (Artificial Intelligence & Machine Learning) · Computer Science (Artificial Intelligence & Machine Learning)
N/A – June 30, 2026
Impact Polytechnic, Bengaluru
Diploma in Mechanical Engineering · Mechanical Engineering
N/A – June 30, 2023
GlowLogics Solutions
AI / Machine Learning Internship
February 1, 2026 – May 31, 2026
India
Ask My PDF Bot - RAG PDF Chatbot
January 1, 2026 – June 1, 2026
• Built a production-grade RAG chatbot letting users upload PDFs and ask natural language questions, with answers grounded in document content. • Implemented hybrid search combining FAISS vector similarity and BM25 keyword matching with cross-encoder re-ranking for high-precision retrieval. • Developed FastAPI backend with RESTful endpoints for upload, querying, conversation history, and health monitoring, plus a Streamlit dashboard. • Containerized with Docker and deployed on AWS EC2, with multi-provider LLM support (Gemini, Hugging Face, Ollama), rate limiting, and a full test suite.
Adult Income Classifier - End-to-End MLOps Pipeline
January 1, 2026 – June 1, 2026
• Built a complete MLOps pipeline on the UCI Adult dataset — EDA, sklearn feature engineering pipeline (log transforms, encoding, custom features), and Gradient Boosting model achieving AUC-ROC of 0.925, matching published benchmark performance on the dataset. • Tracked experiments with MLflow, containerized FastAPI prediction API with Docker, pushed image to Amazon ECR, and deployed on AWS EC2 t2.micro with live /predict endpoint. • Automated CI/CD with GitHub Actions running on every push to main; full pipeline covers data loading, training, API serving, containerization, and cloud deployment.
Object Detection System with OpenCV
January 1, 2025 – December 31, 2025
• Developed a real-time object detection system capable of identifying and classifying multiple objects in video feeds. • Implemented computer vision algorithms using the OpenCV library to track movement and recognize patterns with high accuracy. • Optimized code performance for low-latency processing, ensuring smooth frame rates during live detection.
Certificate of Internship
Glowlogics Solutions
May 1, 2026 – Present
Certificate of Course Completion
Glowlogics Solutions
May 1, 2026 – Present
Generative AI Literacy
Simplilearn
April 1, 2026 – Present
Claude Code in Action
Anthropic
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal and academic projects, indicates a strong interest and initiative in AI/ML. The MLOps and RAG chatbot projects show a practical, end-to-end approach to development, which aligns well with a product-focused engineering culture. The breadth of technologies used suggests adaptability and a willingness to explore new tools. The candidate is still pursuing a bachelor's degree, indicating a strong learning curve and potential for growth within an organization.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through certifications and personal projects. The detailed project descriptions suggest good problem-solving and implementation skills. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is not possible.