Pranjal Pravesh — AI Researcher
I’m a developer with a deep interest in applied AI and machine learning, especially in making models practical, efficient, and usable on real-world devices. My experience spans: - Running LLMs and other models fully on-device, optimizing for latency, memory, and power - Building end-to-end ML pipelines for real-time audio and speech processing - Fine-tuning language models and classifiers for specific tasks and contexts - Converting, quantizing, and integrating models into mobile apps via TFLite, CoreML, and JNI - Designing intelligent agents with contextual awareness, memory, and tool-use capabilities If you’re working on anything in applied ML, edge AI, or voice interfaces — feel free to reach out or collaborate! 📬 Contact: pranjalpravesh121@gmail.com or DM me here on LinkedIn.
Stackforce AI infers this person is a Machine Learning and AI specialist focused on practical applications in edge devices.
Location: New Delhi, Delhi, India
Experience: 1 yr 10 mos
Career Highlights
- Expert in optimizing AI models for real-world applications.
- Experience in building real-time audio and speech processing pipelines.
- Skilled in fine-tuning language models for specific tasks.
Work Experience
Audria
AI Engineer Intern (1 yr 1 mo)
Denave
Automations Engineer Intern (1 mo)
Bharat Skool
Mentor (6 mos)
NSS IIT Delhi
Secretary (11 mos)
Executive (11 mos)
JSRLEADS
CTO (6 mos)
PW (PhysicsWallah)
Student Mentor (7 mos)
Rendezvous
Team Head (0 mo)
eDC IIT Delhi(Entrepreneurship Development Cell)
Volunteer (0 mo)
Office of Career Services, IIT Delhi
Student Volunteer (0 mo)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Delhi