Sai Manjunath Kusupati
Summary
Astute Machine Learning Engineer 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
2
2
years of professional experience
Work History
Machine Learning Engineer
Tata Consultancy Services
05.2019 - 07.2021
- Optimized machine learning models by implementing advanced algorithms and feature selection techniques.
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
- Enhanced data quality with thorough preprocessing, cleaning, and transformation tasks, leading to more accurate model predictions.
- Collaborated with cross-functional teams to integrate machine learning solutions into existing software systems, streamlining processes and boosting productivity.
- Spearheaded the design and implementation of systems for processing massive social data, focusing on ranking, classification, recommendation, and optimization problems.
- Successfully worked on projects related to payment fraud detection, click-through rate prediction, ads/feed/search ranking, and text/sentiment classification.
- Developed highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.
- Applied modern parallel computing techniques in distributed clusters, multicore SMP, and GPU environments to adapt standard machine learning methods.
- Worked on problems of moderate scope, consistently delivering solutions that iterated orders of magnitude with higher efficiency.
- Collaborated with cross-functional teams to suggest, collect, analyze, and synthesize requirements, identifying bottlenecks in technology, systems, and tools.
- Demonstrated proficiency in developing and debugging code in C, C++, and Java for performance-critical components.
- Utilized scripting languages (Perl, Python, and shell scripts) to automate tasks and enhance system efficiency.
- Applied expertise in machine learning frameworks including PyTorch, MXNet, and Tensorflow to implement state-of-the-art solutions for prediction and recommendation problems.
- Leveraged Hadoop, HBase, Pig, MapReduce, and Spark for efficient data processing in distributed systems.
- Contributed to the development of highly-scalable performant solutions, emphasizing the application of core computer science concepts.
- Utilized Git and Subversion for version control, ensuring a collaborative and efficient software development lifecycle.
- Collaborated closely with engineering teams, receiving general instructions from supervisors, and delivering high-quality, production-ready code.
- Demonstrated expertise in Linux/UNIX environments, evidenced by advanced file manipulation, command-line operations, and shell scripting.
- Translated technical insights into actionable business recommendations, showcasing an understanding of the broader impact of technology solutions.
Education
Master of Science - Computer Science
The University of Texas At Arlington
Arlington, TX05.2023
Skills
- Machine Learning
- Model Development
- Data Analytics
- Data Mining
- Natural Language Processing
- Optimization Techniques
- Python
- Shell Scripting
Timeline
Machine Learning Engineer
Tata Consultancy Services
05.2019 - 07.2021
Master of Science - Computer Science
The University of Texas At Arlington
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