Vishisht Mishra
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About Me

I'm a Computer Science undergraduate, with a great passion for AI. I have proficiency and hands-on experience with PyTorch, TensorFlow and Prompt Engineering techniques. I'm a curious learner and the passion is real. You can always trust me to talk at length over AI and any technical innovations in it.
I'd like to say that learning is my forte and I thrive in more fast-paced environments. I'm also familiar with GCP and its ML services and my long-term goal is to somehow contribute in the field of AI (currently taking up research work for that).
Skills
Python
PyTorch
TensorFlow
OpenCV
Google Cloud Platform (GCP)
Data Science
Deep learning
Computer Vision
Natural Language Processing
Cloud Computing
Prompt engineering
Generative AI
Experience
Artificial Intelligence Intern
02/2025 to Current
Planto AI
- Working on building a personalized copilot for developers at company's clients
- Integrating UI designing, software development and AI to create a production level LLM.
UI/UX
Flask
AWS
Kubernetes
Transformers
LLM Fine Tuning
AI Trainer (Freelancer)
09/2024 to 11/2024
Outlier
- Used prompt engineering to significantly improve LLM performances on math, science and language based tasks.
Prompt Engineering
Open Source Developer
09/2024 to 11/2024
GirlScript
- Worked on ML-based open-source projects.
- Contributed to public repositories in a competitive environment.
PyTorch
TensorFlow
OpenCV
Speech Recognition
Research
Tribal Languages
- Taking on an initiative to bring the lesser-known languages of India into mainstream AI, ensuring these languages are preserved and accessible.
- The project involves end-to-end work including data collection, preprocessing, model training with custom algorithms and deployment to create tools for various purposes.
- Collaborating with linguists, this project aims to integrate the underrespresented languages into AI systems and establish a benchmark for any such future endeavors.
Data Collection
Data Preprocessing
Algorithms
Natural Language Processing
Linguistics
Activity Recognition in Classroom
- As a personal project, I'm developing and training a multimodal deep learning model for activity recognition in a classroom environment using a large and diverse dataset.
- Main focus of the project is to use Computer Vision and Deep Learning algorithms to automatically detect and categorize classroom activities of students and teachers to automate monitoring and improve classroom management.
Computer Vision
Deep Learning
Distributed Computing
Google Cloud Platform (GCP)
Education
B.Tech.: Computer Science & Engineering
09/2023 to 07/2027 (Expected)
Central University of Haryana
CGPA: 7.65/10