Senior Software Engineer
FactSet
03.2025 - Current
Srikanth Jujjuru
Senior Machine Learning Engineer
Hyderabad,TG
Timeline
Software Engineer III
FactSet
09.2023 - 02.2025
Software Engineer II
FactSet
09.2022 - 08.2023
Software Engineer I
FactSet
06.2020 - 09.2022
Master of Science - Statistics
Andhra University
06.2018 - 06.2020
Work History
Senior Software Engineer
FactSet
03.2025 - Current
- Led development of scalable applications using Java and microservices architecture.
- Mentored junior engineers, fostering skill development and technical growth within the team.
- Implemented automated testing frameworks to enhance software quality and reduce deployment errors.
- Collaborated with cross-functional teams to define project requirements and deliver innovative solutions.
Software Engineer III
FactSet
09.2023 - 02.2025
- Designed and implemented scalable software solutions to enhance system performance.
- Collaborated with cross-functional teams to define project requirements and specifications.
- Developed automated testing frameworks to improve code quality and reduce errors.
- Optimized existing software applications for enhanced user experience and efficiency.
Software Engineer II
FactSet
09.2022 - 08.2023
- Developed scalable web applications using JavaScript frameworks, enhancing user experience and functionality.
- Collaborated with cross-functional teams to gather requirements and implement software solutions effectively.
- Conducted code reviews to ensure adherence to best practices and maintain code quality standards.
- Automated testing processes, improving software reliability and reducing deployment times significantly.
Software Engineer I
FactSet
06.2020 - 09.2022
- Developed and optimized machine learning models for predictive analytics to enhance client reporting capabilities.
- Collaborated with cross-functional teams to identify data requirements and improve model accuracy.
- Led initiatives to streamline data processing workflows, reducing project turnaround time significantly.
- Mentored junior engineers in best practices for model deployment and algorithm selection.
- Implemented automated testing protocols to ensure reliability and performance of machine learning applications.
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
- Prototyped machine learning applications and quickly determined application viability.
- Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.
- Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
- Facilitated knowledge transfer sessions among team members on specialized topics such as deep learning architectures and natural language processing techniques, fostering a collaborative learning environment.
- Managed timelines effectively to deliver multiple concurrent projects on schedule without sacrificing quality or accuracy standards.
- Transformed raw data to conform to assumptions of machine learning algorithm.
- Leveraged artificial intelligence and machine learning algorithms for standalone products and enhanced existing product offerings.
Overview
6
6
years of professional experience
2
2
years of post-secondary education
Education
Master of Science - Statistics
Andhra University
Visakhapatnam 06.2018 - 06.2020
Skills
Machine learning
Natural language processing
Feature engineering
Model development
Clustering algorithms
Random forests
Decision trees
Statistical modeling
Transfer learning
Data analytics
Data mining
Dimensionality reduction
K-nearest neighbors
Project management
Support vector machines
Reinforcement learning
Neural networks
Anomaly detection
Unsupervised learning
Statistical reporting
Deep learning
Statistical analysis
Problem-solving
Machine learning algorithms
Data preprocessing and cleaning
Summary
Experienced with developing and deploying machine learning algorithms that drive business insights. Utilizes statistical analysis and data mining techniques to enhance model accuracy and performance. Track record of integrating machine learning solutions into production environments, ensuring scalability and reliability. Thorough team contributor with strong organizational capabilities. Experienced in handling numerous projects at once while ensuring accuracy. Effective at prioritizing tasks and meeting deadlines.