Highly skilled AI/ML Developer with hands-on experience in designing, implementing, and deploying advanced machine learning and deep learning solutions, including NLP and recommendation systems. Proven ability to optimize model performance, integrate AI solutions with REST APIs for real-time applications, and develop intuitive user interfaces. Eager to apply expertise in Python, TensorFlow, and React Native to drive innovative projects and contribute to cutting-edge technological advancements.
Madanapalle, Andhra Pradesh, India
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Summary
Spearheaded the design and implementation of core machine learning models to enhance predictive capabilities and data accuracy within System Tron's operational framework.
Highlights
Designed and implemented foundational ML models, including linear regression, decision trees, and clustering algorithms, to establish core predictive capabilities.
Performed comprehensive data preprocessing, feature engineering, and dataset cleaning, significantly improving data quality and model input accuracy.
Optimized model performance through advanced hyperparameter tuning, cross-validation, and rigorous evaluation metrics, leading to enhanced predictive power.
Madanapalle, Andhra Pradesh, India
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Summary
Contributed to the development and deployment of advanced AI and Machine Learning solutions, focusing on Natural Language Processing and real-time integration.
Highlights
Engineered and deployed AI solutions leveraging Python, TensorFlow, and scikit-learn for critical data intelligence tasks.
Implemented Natural Language Processing (NLP) tasks, including sentiment analysis and text classification, to extract actionable insights from unstructured data.
Integrated AI/ML models with REST APIs, enabling efficient real-time data processing and deployment across various applications.
Madanapalle, Andhra Pradesh, India
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Summary
Gained hands-on experience in diverse AI domains, developing and presenting practical end-to-end applications within a collaborative team environment.
Highlights
Applied core concepts in Machine Learning, Deep Learning, NLP, Computer Vision, and Robotics to build practical AI solutions.
Developed and presented multiple end-to-end AI applications, showcasing proficiency in practical use cases and problem-solving.
Actively participated in team collaboration, peer discussions, and agile project cycles, contributing to efficient project delivery and knowledge sharing.
Awarded By
Government of India
Submitted for official recognition to the Government of India, acknowledging innovative work on a real-time speech-to-speech translation mobile application.
Native
Python, SQL.
Numpy, Pandas, Feature Engineering, Scikit-Learn, Data Preprocessing, Model Evaluation, Collaborative Filtering, Content-Based Filtering, Recommendation Systems, Hyperparameter Tuning, Cross-validation.
TensorFlow, PyTorch, BART, Hugging Face Transformers, BERT, Whisper, NLLB, Sentiment Analysis, Text Classification, Real-time Audio Processing, Multilingual NLP.
REST APIs, Google Colab, React Native, Git, FastAPI, Jupyter Notebook, Spotify Web API.
Computer Vision, Robotics, AI Solutions Development, Real-time Deployment, Agile Methodologies, Team Collaboration, Problem Solving, Data Analysis.
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Summary
Developed a mobile application providing real-time multilingual speech-to-speech translation for 12 Indian languages, integrating ASR (Whisper), translation (NLLB), and text-to-speech (gTTS) with a low-latency backend and intuitive React Native interface.