Headline

AI/ML Engineer | Computer Vision | Generative AI & RAG | Python | YOLO | OpenCV | NLP | LLMs

About

About Hi, I’m Kishore Reddy, an AI/ML Engineer with 1+ year of hands-on experience in Computer Vision, Generative AI, and Machine Learning. I focus on building practical AI solutions that address real-world challenges. Currently, I’m working as a Computer Vision Intern at Okulr Techminds, contributing to a Karnataka Transport Department AI surveillance project involving 80+ cameras. My work includes YOLO-based traffic violation detection, ANPR, data annotation, model validation, deployment, and performance monitoring. Previously, I worked as a Data Science Intern at Innomatics Research Labs, developing machine learning and RAG-based applications using Python, LangChain, and Gemini. Technical Skills: Python | YOLO | OpenCV | Computer Vision | Generative AI | RAG | LangChain | NLP | PyTorch | TensorFlow | SQL I’m actively exploring opportunities in AI/ML Engineering, Computer Vision, and Generative AI, where I can contribute to real-world projects, solve technical challenges, and build reliable AI applications. 📩 Open to relevant opportunities and collaborations.

Location

Bengaluru

AI stack

hugging face

kimi

langchain

openai

huggingface

ChatGPT Images

Work experience

Computer Vision Intern at Okulr Techminds, Apr 2026 - Present · 7 mos, Bengaluru, Karnataka, India, Built and deployed AI applications in Linux/Ubuntu environments, using SSH for remote server management and containerization to support efficient development and deployment workflows. Developed and deployed YOLOv8-based computer vision solutions for real-time traffic violation detection across 80+ CCTV streams using RTSP. Worked on data annotation, preprocessing, model training, validation, testing, real-time inference, ANPR, deployment, monitoring, and performance optimization for reliable AI-powered traffic surveillance.

Data Science Intern at Innomatics Research Labs, Jan 2024 - Apr 2024 · 4 mos, Hyderabad, Telangana, India, Worked on data collection, cleaning, exploratory data analysis (EDA), visualization, and statistical analysis using Python, SQL, and Scikit-learn. Developed a RAG-based document question-answering application using LangChain and Gemini, enabling users to retrieve relevant information from documents through natural language queries. Worked on document processing, text chunking, embeddings, and semantic search to improve the accuracy and usability of the application.

Education

Bachelor of Engineering - BE, Electrical and Electronics Engineering, Viswam Degree & PG College, Angallu, Chittoor Dist.

MPC, NRI College Tirupati