PRANAV SAI GARLAPATI
STUDENT
Hyderabad
Overview
2
2
years of professional experience
5
5
Languages
Work History
Project Head
Analytics Club, CFI, IIT Madras
04.2022 - Current
- Spearheaded dataset acquisition and model architecture ideation
- Conducted text-to-speech model finetuning
- Provided valuable guidance to team members on successful strategies
- Showcased our meticulously crafted model at OPEN HOUSE EVENT.
Education
Bachelor of Technology in Computer Science Engineering -
Indian Institute of Technology, Madras
MPC
XII FIITJEE Junior College
Hyderabad, TSSSC
X FIITJEE World School
Hyderabad, TSSkills
LaTeXAutoCADLinuxGitHubGitNotionCanva
Accomplishments
- JEE Advanced 2021 - AIR 2348 among 150,000+ students all over India.
- Awarded KVPY SX Fellowship in 2020
Libraries
- ROS, GTK, Qt, OpenCV, Numpy, Matplotlib, GLFW, OpenGL, Neuralgym, Tensorflow, Torch, Keras, Jupyter, Xgboost, Lightgbm, Catboost, Nltk, Opencv-python, Pillow, Spacy, Transformers, Textblob, Stable-baselines3, Prophet, Shap, Augmentor, Sqlalchemy, Beautifulsoup4, Theano, Pycaffe.
Coding Achievements
- CODEFORCES, Pranav020304, 1752
- KAGGLE, Demonstrated commitment to continuous learning and professional growth through Kaggle, actively exploring new techniques, experimenting with cutting-edge algorithms, and sharing knowledge with peers.
Specializations Courses
- DEEP LEARNING SPECIALIZATION
- NATURAL LANGUAGE PROCESSING SPECIALIZATION
- GENERATIVE ADVERSARIAL NETWORKS (GANS) SPECIALIZATION
- TENSORFLOW: ADVANCED TECHNIQUES SPECIALIZATION
- GENERATIVE AI WITH LLMS
- MACHINE LEARNING ENGINEERING FOR PRODUCTION (MLOPS) SPECIALIZATION
- CS229 MACHINE LEARNING
- CS230 DEEP LEARNING
Projects
COVID-19 Prediction CNN Model
- Developed CNN using Keras with TensorFlow backend for COVID-19 detection from chest X-ray images.
- Achieved high accuracy:Training Set: 98.41%
Validation Set: 97.51%
Test Set: 94.83%
- Utilized data augmentation, Adam optimizer (LR: 0.001), and Matplotlib for visualization.
- Implemented LSTM Neural Network for accurate English to French translation.
- Demonstrated proficiency in natural language processing and sequence modeling.
- Enabled seamless cross-language communication with advanced language processing.
- Conducted sentiment analysis on stock-related tweets using NLP techniques.
- Predicted market trends, aiding investment decisions with data-driven insights.
- Applied real-time text analytics for precise and timely financial forecasting.
- Implemented cutting-edge computer vision papers including ViT, DCGAN, Pix2Pix, StyleGAN, PSPNet, U-Net, YOLO, and PointNet.
- Developed expertise in image classification, object detection, image-to-image translation, and 3D segmentation techniques.
- Utilized the technique of model forking to tailor an existing model according to project needs, showcasing adaptability and proficiency in leveraging open-source codebases.
- Achieved a peak signal-to-noise ratio (PSNR) of 24.3 (over the reported peak signal-to-noise ratio of 31.10).
- Implemented a model to synthesize image structures and textures by borrowing from surrounding image features.
- Achieved a peak signal-to-noise ratio (PSNR) of 17.98 (over the reported peak signal-to-noise ratio of 18.91).
Timeline
Project Head
Analytics Club, CFI, IIT Madras
04.2022 - Current
Bachelor of Technology in Computer Science Engineering -
Indian Institute of Technology, Madras
MPC
XII FIITJEE Junior College
SSC
X FIITJEE World School