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
Model evaluation
Neural networks
Feature engineering
Data science
Machine learning
Natural language processing
Statistical modeling
Algorithm development
Big data analytics
Deep learning
Python programming
Data analytics
Image processing
Software development
Speech recognition
Pattern recognition
Predictive modeling
Big data technologies
Information retrieval
Teamwork
Teamwork and collaboration
Problem-solving
Time management
Business understanding
Problem-solving abilities
Multitasking
Multitasking Abilities
Excellent communication
Decision-making
Self motivation
Time management abilities
Adaptability and flexibility
Collaborative teamwork
Critical thinking
Effective communication
Team collaboration
Active listening
Organizational skills
Data visualization
Team building
Attention to detail
Problem-solving aptitude
Data-driven decision making
Adaptability
Analytical thinking
Project management
Analytical skills
Task prioritization
Written communication
Continuous improvement
Decision trees
Interpersonal communication
Statistical analysis
Data programming
Data operations
Data science research methods
Advanced data mining
Machine learning algorithms
Data preprocessing and cleaning
Communication
Normalization techniques
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 -