M.Tech IT Student | Python Developer | Machine Learning | Flask & Microservices | Game Tester & QA Enthusiast | API Testing | AI Projects | Open to Internship & Software Roles
Bengaluru, Karnataka, India







Master of Technology - MTech, Information Technology
RV College of Engineering

Bachelor of Engineering, Information Science/Studies
Rao Bahadur Y Mahabaleshwarappa Engineering College
Join Rajeev and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossM.Tech IT Student | Python Developer | Machine Learning | Flask & Microservices | Game Tester & QA Enthusiast | API Testing | AI Projects | Open to Internship & Software Roles
Motivated and detail-oriented Software Engineer with a strong foundation in Artificial Intelligence, Machine Learning, and Full-Stack Development. Passionate about designing and developing intelligent, data-driven solutions that address real-world challenges in healthcare, cybersecurity, accessibility, and automation. Hands-on experience in building end-to-end machine learning applications, including predictive analytics systems, phishing URL detection platforms, smart attendance systems, visual assistance applications, and digital forensics tools. Proficient in Python, Flask, Machine Learning, Computer Vision, and Web Technologies, with practical expertise in data preprocessing, model development, API integration, and interactive web application deployment. Actively exploring advanced AI domains such as Speech-to-Speech Translation, Explainable AI, and scalable intelligent systems. Strong problem-solving abilities, adaptability, and a continuous learning mindset with a commitment to developing innovative and impactful technology solutions.
Greater Bengaluru Area
antigravity
claude code
codex
cursor
gemini
manus
Student Intern at Trained at Boston Training Academy in association with R V College of Engineering, Bengaluru, India., Aug 2025 - Nov 2025 · 4 mos, Bengaluru, Karnataka, India, • Built an AI-powered visual assistance app for visually impaired users using React Native, Flask, and multimodal AI models • Integrated BLIP, BLIP-2, and LLaVA models for real-time image captioning, scene understanding, and contextual voice guidance • Developed gesture-based controls, auto image capture, multilingual Text-to-Speech support, and AI-based hazard detection • Implemented real-time image processing, REST API integration, and full-stack mobile application deployment • Worked on Computer Vision, Deep Learning, Prompt Engineering, Multimodal AI, and accessibility-focused intelligent systems
Master of Technology - MTech, Information Technology, RV College of Engineering
Bachelor of Engineering, Information Science/Studies, Rao Bahadur Y Mahabaleshwarappa Engineering College
github: https://github.com/RajeevRaghava235