Congratulations, Mr Surya Teja Chavali, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!
Mr Surya Teja Chavali, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amrita Vishwa Vidyapeetham India. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Computer Vision into Social Media and Digital Marketing applications.
🎓 Education:
- Amrita Vishwa Vidyapeetham Bengaluru, India
- B. Tech | Computer Science (Artificial Intelligence)
- GPA: 8.01
- July 2019 – Present
- Sri Chaitanya Jr. College Hyderabad, India
- Intermediate / +2 | Mathematics, Physics, Chemistry
- GPA: 92.5%
- April 2017 – May 2019
- Delhi Public School Hyderabad, India
- High School (Matriculation)
- GPA: 9.6
- June 2016 – May 2017
👨💼 Experience:
- GE Digital | Digital Technology Intern
- Location: Hyderabad
- January 2023 – Present
- Responsible for Dockerizing and cluster management for Enterprise level applications.
- Developed Computer Vision based solutions for easy integrations of add-on features in the product, enhancing the product experience and reducing manual labor time.
- Siemens | Research Software Intern
- Location: Bengaluru
- April 2022 – June 2022
- Worked on creating a Q/A application by extracting Tabular, Image, and Textual data from product webpages and PDFs using tools such as ‘Tabula,’ ‘Pdfminer,’ ‘Fitz,’ and ‘Camelot’ in Python.
- Deployed extracted data onto the Elastic Search cloud using Python.
- Samsung R & D Institute | Research Intern
- Location: Bengaluru
- Sept 2021 – April 2022
- Used Scikit – Learn Package in Python to develop a classification model using Decision Tree Classifier to identify Hand Gestures based on raw sensor data.
- Designed the entire Android app backend in Android Studio, reducing recognition latency from 7 seconds to <1 second by creating and loading the ML model on the fly.
📚 Publications:
- Smart Facial Emotion Recognition With Gender and Age Factor Estimation (ICMLDE 2022)
- A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines (13th ICCCNT 2022)
- Modelling a Reinforcement Learning Agent For Mountain Car Problem Using Q – Learning With Tabular Discretization (MYSURUCON 2022)
- Comparative Study of Image Encryption and Image Steganography using Cryptographic Algorithms and Image Evaluation Metrics (ISIC 2022)
- Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm (ACCAI 2022)
💻 Skills:
- General: Software Engineering, Machine Learning, App Development
- Programming Languages: Java, Python, MATLAB
- Tools / Frameworks: Docker, Kubernetes, Spring Boot, Android Studio, OpenCV, TensorFlow
🚀 Projects:
- Fatigue Monitoring in Continuous Speech for Air Traffic Control Stations
- Collected an authentic dataset- Chinese ATC speech samples from IEEE dataport.
- Worked on OpenSMILE Interspeech feature set (MFCCs, Statistical, Energy, Kurtosis).
- Implemented Data Pre-processing and Data Augmentation techniques.
- Created various ML and DL classifiers in Python, achieving an overall best accuracy of 99.47% with a 1D-CNN model.
- Real-Time Rock-Paper-Scissor Game Playable Robot using Reinforcement Learning
- Developed a Q-Learning Agent in Python for accurate detection of the user’s move pattern against the robot.
- 3D printed a human-like palm, controlled finger movements using Servo Motors connected to Arduino.
- Developed a DL Model to recognize the user’s move through live video and fed it to the agent.
🌐 Profile Links: