Suhaas Yadavalli
Student
Bengaluru
Overview
1
1
year of professional experience
9
9
Certifications
Work History
Intern
AppViewX
06.2024 - Current
- Implemented projects using langchain and openai
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
- Analyzed problems and worked with teams to develop solutions.
- Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
Project Intern
Acmegrade
06.2023 - 07.2023
- Involved in the Parkinsons Disease Detection datascience project using Python, scikit learn, matplotlib, plotly, pandas/numpy
Education
BTECH - Computer Science Engineering
Manipal Institute of Technology
Bengaluru, India 04.2001 -
Skills
C/C
Go
Python
Java
SQL
Node js
React js
Docker
TensorFlow
HTML/CSS
LATEX
Websites
Certification
Algorithmic Toolbox : University of California San Diego
Coursework
- Object-Oriented Programming
- Data Structures & Algorithms
- Database Management System
- Digital System and Design
- Embedded Systems
- Computer Architecture
- Discrete Math
- Linear Algebra
- Calculus
- Probability & Statistics
Areas Of Interest
- Full Stack Web Development
- Deep Neural Networks
- Devops
Project 1
MIT Parking System
Project 2
CNN
Project 3
compiler in go
Timeline
Intern
AppViewX
06.2024 - Current
Project Intern
Acmegrade
06.2023 - 07.2023
BTECH - Computer Science Engineering
Manipal Institute of Technology
04.2001 -
Algorithmic Toolbox : University of California San Diego
Object-Oriented Hierarchies in Java : LearnQuest
Database Structures and Management with MySQL : Meta
Digital Systems: From Logic Gates to Processors : Universitat Autonoma de Barcelona
Calculus for Machine Learning and Data Science : DeepLearning.AI
Linear Algebra for Machine Learning and Data Science : DeepLearning.AI
Neural Networks and Deep Learning : DeepLearning.AI
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization : DeepLearning.AI
Structuring Machine Learning Projects : DeepLearning.AI