Daksh Choudhary
Building intelligent, cloud-native applications with expertise in Python, Java, C++, and modern frameworks like Spring Boot, React.js, and Streamlit.
About Me
AI and Backend Developer passionate about building smart, scalable applications that merge machine learning with modern software engineering.
I'm passionate about building innovative solutions using modern technologies, With hands-on experience in tools like OpenAI, Mistral, and Ollama, I’ve developed innovative projects including a GitHub README generator, AI-powered React component builder, and multilingual speech systems using Whisper and Groq. I’m proficient in Python, Java, C++, and JavaScript, and I thrive in cloud-native environments using AWS, Docker, and Kubernetes
When I'm not coding, you can find me leading the Football society at KCCITM or working on exciting projects as an Executive Member at QuantumByte. I'm constantly learning and exploring new technologies to expand my skill set.
Whether it’s crafting AI-driven recommendation engines or integrating real-time data from web crawlers, I love turning complex challenges into elegant technical solutions.
Skills
A comprehensive set of technical skills and expertise I've developed throughout my career.
Experience
My professional journey and leadership roles.
Worked on OCR text extraction, grocery data integration, web crawling, and recipe recommendation systems.
- Built an OCR feature using Google Cloud Vision to extract handwritten text
- Merged and visualized grocery data from multiple JSON sources
- Legally extracted structured data from various platforms
- Developed an AI-powered recipe suggestion system
Served as an executive member, contributing to organizational leadership and project management.
Led the college football society, organizing events and managing team activities.
Active member of the QuantumByte society, participating in technical events and workshops.
Projects
Showcasing my technical skills through real-world applications and solutions.
Developed a GitHub README generator using Streamlit and Ollama, where users provide a prompt and an API key to generate professional README files. Integrated GitHub API for seamless upload of generated files directly to repositories. Designed for ease of use and deployment as an interactive web application.
Developed an AI-powered React component generator using LLaMA, Streamlit, and prompt engineering, enabling users to create React components via natural language input.
Developed a Speech-to-Text application using the Whisper Large model via Groq for high-accuracy voice transcription. Integrated Mistral models for efficient text generation and translation, enabling seamless multilingual communication.
Education
My academic background and qualifications.
Get In Touch
Feel free to reach out for collaborations, opportunities, or just to say hello!