kalakriti AI
Developed an AI-powered marketing solution with a Python/Flask backend, integrating Gemini and Google Cloud Speech to generate branded content. Automated social media kits and processed multi-format audio for startup marketing needs.
3roles
17skills
2education
5credentials
About
B.Tech Computer Science and Engineering (AI/ML) student with hands-on experience in machine learning, deep learning, RAG, computer vision, prompt engineering, and AI application development. Actively seeking internships or entry-level roles.
Experience
AI/ML
Labmentix
Sep 2025 - Nov 2025
Gained practical hands-on experience in the AI/ML domain, worked on live projects, and received mentorship from experienced professionals.
Machine Learning
Cognitxyz Technology
Sep 2024 - Sep 2024
Developed and optimized machine learning models for real-world challenges, focusing on data interaction strategies to improve model accuracy.
AI/ML Intern
Hoping Minds
Jun 2024 - Jul 2025
Implemented end-to-end machine learning tasks, including data handling and analysis, model training, and prediction.
Education
CT group of Institution
B.Tech, Computer Science & Engineering
2022 - 2026
Percentage: 70%. Coursework in Machine Learning, Deep Learning, NLP, and Computer Vision with hands-on AI/ML projects.
Govt. Sr. Sec. School Bhatgov Camp
PSEB, PCM
2021 - 2022
Percentage: 90%. Completed higher secondary education with focus on PCM.
Skills
PythonGit & GitHubScikit-learnFastAPILangChainDeep LearningComputer VisionGenerative AIPrompt EngineeringMySQLRetrieval-Augmented Generation (RAG)PyTorchFlaskStreamlitOpenCVMediaPipeLangGraph
Projects
Engineered a real-time AI-powered attendance system using FaceNet and OpenCV for facial recognition. Built a multithreaded Streamlit application supporting student registration and attendance tracking.
Multi Agent Orchestration
Architected a LangGraph/FastAPI multi-agent orchestration system with dynamic routing to specialized agents, including Financial Analyst and Vision Agent, multimodal input, external search tools, and structured prompting.
Engineered a real-time motion-controlled game that maps punches and kicks to on-screen actions. Used MediaPipe Pose and OpenCV for gesture detection and PyAutoGUI for in-game controls.
Doctor RAGBot
Engineered a medical Retrieval-Augmented Generation chatbot using Streamlit and a specialized medical knowledge base. Designed source-grounded responses, reduced hallucination, and integrated conversational memory.