Pranavjaina

About Me

I am an enthusiastic and proactive individual with a strong foundation in full-stack development and a keen interest in integrating AI solutions for real-world impact. My passion lies in contributing to projects that bridge digital divides, particularly through the development of Indic language models. I am a quick learner, highly adaptable, and committed to continuous skill enhancement.

Tech Skills

Existing Skills:

• Programming Languages: Python, JavaScript
• Web Frameworks: Django, HTML, CSS
• Mobile Development: Flutter (Android)
• AI/ML Tools: Rasa, scikit-learn
• Cloud Platforms: AWS (EC2, S3, RDS, IAM), Firebase (Authentication, Real-time Data Storage, Push Notifications)
• Problem-Solving & Debugging: Systematic troubleshooting, AI-assisted debugging, documentation deep dives.
• Version Control: Git/GitHub

Planning to Learn:

• Deeper AI/ML: Advanced NLP techniques, more complex LLM architectures, potentially Deep Learning frameworks (e.g., TensorFlow/PyTorch).
• Cloud Expertise: Broader and deeper knowledge of AWS services, potentially other cloud providers.
• Specific Indic Language AI Tools: Tools and libraries specific to Indic language processing and generation.

Projects I Worked On

• Django AI-Powered Expense Tracker:

  • Role: Full-Stack Developer.
  • Description: Developed a web application using Python/Django for the backend and HTML/CSS/JavaScript for the frontend. Integrated Rasa to create a conversational AI agent for natural language expense logging and automated categorization.
  • Impact: Significantly streamlined user experience by automating categorization and enabling natural language interaction for financial tracking.

• Fire Detector Flutter Application:

  • Role: Developer.
  • Description: A mobile application built with Flutter, likely for Android, focusing on a specific utility (fire detection).
  • Cloud Integration: Utilized AWS for backend services.

##Internships

• **Django Developer Intern at AptPath: Gained practical experience in Django web development, contributing to [mention a brief task/area if you remember it, e.g., 'backend logic' or 'API development'].

• **Python Developer Intern at CodSoft: Enhanced Python programming skills through hands-on development tasks, likely involving [mention a brief task/area if you remember it, e.g., 'scripting' or 'small application development'].

Certifications

• Prompt Design in Vertex AI (Google Skill Boost Badge): Demonstrates proficiency in effective prompt engineering techniques for Large Language Models on Google Cloud's Vertex AI platform.

• Flutter & Firebase(Infosys SpringBoard): Integration of Flutter and Firebase.

Aspirations

I aspire to become an AI Engineer with a specialization in Natural Language Processing (NLP), particularly focused on Indic languages. My goal is to build innovative and impactful AI solutions that promote digital inclusion and empower diverse communities, contributing to the development of robust and culturally relevant AI for the Global South. I also aim to continually deepen my expertise in cloud technologies to ensure these AI solutions are scalable and accessible..