π¨ βπ» Gunaputra Nagendra Pavan Yedida
π§ Summary
AI Engineer with hands-on experience in computer vision, large language models, and AI-driven solutions. Proficient in Python, PyTorch, TensorFlow, and cutting-edge deep learning techniques. Proven leadership experience with impactful AI applications such as virtual assistants, secure face verification systems, and scalable data pipelines. Strong theoretical foundation in AI/ML, with real-world experience in optimizing multimodal models and data workflows. Passionate about solving real-world problems with AI, particularly in language and vision technologies.
πΌ Work Experience
AI Intern β MH Cognition, Hyderabad
Jan 2025 β Jun 2025
- Led a team of 8 interns in developing and optimizing AI-driven solutions.
- Utilized Python, TensorFlow, PyTorch, and scikit-learn for ML tasks.
- Built a virtual assistant, boosting user engagement.
- Developed a plagiarism checker, AI detector, and answer evaluator.
- Led the creation of face verification system and online proctoring system.
Data Engineer Intern β One Window Overseas Education Pvt. Ltd., Hyderabad
Sep 2024 β Jan 2025
- Optimized datasets to improve AI-powered recommendation systems.
- Used MongoDB for efficient storage/retrieval of unstructured data.
- Implemented data cleaning and transformation workflows.
- Worked on extraction and processing data using Selenium and BeautifulSoup.
π Education
B.Tech β Computer Science and Engineering (AIML)
Malla Reddy University, Hyderabad
Sep 2021 β May 2025
CGPA: 8.96 / 10
π Certifications
- Data Analysis with Python (Coursera)
- Artificial Intelligence (NPTEL)
π Projects
π Threat Identification System
Built a threat detection system using cameras and deep learning, achieving 99% accuracy in identifying threats, significantly enhancing surveillance capabilities.
π€ ClearChat AI
Led a team of 5 in building a chatbot using transformer models. Identified DistilBERT as the optimal architecture for high-performance and lightweight inference.
π Research Publications
- Text Classification Using Positive and Unlabeled Examples with SVM β IJSREM, Dec 2023
- Black and White Text Colorization Using Deep Learning β IJRASET, Jun 2024
- AI-Powered Cognitive Digital Twin for Blockchain-Driven Real Estate Valuation β IJIRT, Apr 2025
π Skills
- Programming Languages: Python
- AI Technologies: ML, DL, NLP, CV, LLMs
- Frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, OpenCV, YOLO, NLTK, spaCy
- Backend & APIs: Django
- Data & Pipelines: Pandas, NumPy, Apache Airflow, DVC
- Databases: MongoDB, MySQL, PostgreSQL
- Experiment Tracking: MLflow, Weights & Biases, TensorBoard
- Visualization: Matplotlib, Seaborn, Plotly
- Tools: Kaggle, Jupyter, VS Code, Git
π Achievements
- Ranked Top 5,000 out of ~79,000 in Microsoft Fabric Ignite Challenge, 2025
- National Top 6 in Intellithon (IEEE), 2024
- National Top 5 in Innovation & Entrepreneurship Summit (IEEE), 2024
- Participated in Global AI Summit, Telangana Govt, 2024