Pavan Bodas
AI/ML Engineer
Hyderabad
Summary
Dynamic AI/ML Engineer with a proven track record at AVR RESEARCH AND DEVELOPMENT PVT LTD, excelling in developing custom models and optimizing performance through advanced algorithms. Adept in Python programming and fostering collaboration, I drive impactful data-driven decisions, enhancing operational efficiency and delivering innovative solutions in machine learning.
Astute Data Science with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.
Overview
3
3
years of professional experience
Work History
AI/ML Engineer
AVR RESEARCH AND DEVELOPMENT PVT LTD
11.2022 - 08.2024
- Developed custom ML/AI models to address unique business challenges, leading to improved decision-making capabilities.
- Leveraged cloud-based computing resources for cost-effective model training and evaluation at scale.
- Contributed to open-source projects relevant to ML/AI technologies, expanding industry knowledge base and promoting innovation.
- Enhanced ML/AI model performance by implementing advanced algorithms and feature engineering techniques.
- Prototyped potential solutions using rapid experimentation methodologies, accelerating product development timelines.
- Collaborated with cross-functional teams to identify opportunities for process automation using AI, driving operational efficiency.
- Implemented robust data validation processes, ensuring high-quality inputs for training and evaluating ML/AI models.
- Evaluated the effectiveness of various machine learning algorithms, selecting the best-suited models for specific tasks.
- Optimized data processing pipelines for efficient handling of large datasets, resulting in reduced training time.
- Mentored junior engineers on machine learning concepts and best practices, fostering a culture of continuous learning and collaboration.
- Developed custom data visualization tools for intuitive interpretation of model output, enabling stakeholders to make informed decisions based on complex analytics.
- Conducted thorough code reviews to maintain quality standards across the team''s work while adhering to software engineering best practices.
- Ran statistical analyses within software to process large datasets.
- Applied loss functions and variance explanation techniques to compare performance metrics.
- Implemented randomized sampling techniques for optimized surveys.
- Devised and deployed predictive models using machine learning algorithms to drive business decisions.
- Improved data collection methods by designing surveys, polls and other instruments.
- Modeled predictions with feature selection algorithms.
- Developed polished visualizations to share results of data analyses.
- Analyzed large datasets to identify trends and patterns in customer behaviors.
- Compiled, cleaned and manipulated data for proper handling.
- Stayed abreast of emerging trends in ML/AI research through active participation in conferences, workshops, and online communities; applied new findings to ongoing projects when applicable.
- Performed rigorous testing and validation of AI models to ensure robustness and reliability in real-world applications.
- Designed and implemented scalable infrastructure for deploying machine learning models in production environments, ensuring high availability and low latency.
- Optimized machine learning model performance with hyperparameter tuning techniques, achieving improved accuracy and generalization capabilities.
- Streamlined feature selection process with dimensionality reduction techniques, improving model interpretability and reducing overfitting risks.
- Worked closely with domain experts to refine problem statements and develop accurate representations of complex systems within AI/ML frameworks.
Data Science Intern
QUBIT AI
12.2020 - 05.2021
- Optimized machine learning models for improved Hand Gesture recognition for the impaired people.
- Developed custom algorithms to solve unique challenges in data analysis and modeling.
- Utilized programming languages such as Python extensively throughout the internship – applying relevant libraries and frameworks when appropriate.
- Created Gaussian graphs, translating complex data sets into comprehensive gesture recognitions.
- Created data mining architectures and models to identify trends in large data sets.
Education
Bachelor of Technology - Computer Science And Engineering
Vignana Bharathi Institute Of Technology
Ghatkesar, India 04.2001 -
Skills
Scikit-learn
Music and musical Instruments
I play a Keyboard/Casio and Octapad drum kits
Timeline
AI/ML Engineer
AVR RESEARCH AND DEVELOPMENT PVT LTD
11.2022 - 08.2024
Data Science Intern
QUBIT AI
12.2020 - 05.2021
Bachelor of Technology - Computer Science And Engineering
Vignana Bharathi Institute Of Technology
04.2001 -
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