Ramani chalamalasetty
Product Development Engineer 1
Hyderabad
Summary
Resourceful and driven Product Development Engineer with strong problem-solving skills, effective communication, and a continuous learning mindset. Passionate about building scalable solutions, improving product quality, and collaborating across teams to deliver high-impact features. Eager to contribute to innovative product development and drive organizational success.
Overview
6
6
years of professional experience
Work History
Product Development Engineer
Phenom People
04.2022 - Current
- Designed and implemented a Learning Management System (LMS) recommendation engine for internal mobility, using Python, BERT model, cosine similarity, and FastAPI to deliver personalized course suggestions based on user profiles and learning history.
- Developed a mentor recommendation engine that matched employees with relevant mentors based on role similarity, domain expertise, levels and career trajectory enhancing internal career progression using Python ,FastAPI and Elastic Search query
- Built a serverless syncing system using AWS EventBridge and Lambda functions to automate the periodic update of least and top applied jobs data for analytics and personalization.
- Built a serverless syncing system using AWS EventBridge, Lambda functions, and Kafka to automate the periodic and real-time update of least and top applied jobs data for analytics and personalization.
- The solution consumed Kafka messages in downstream services to synchronize job application metrics from internal databases to systems like Elasticsearch, enabling real-time insights and personalized user recommendations.
- The solution efficiently queried and synchronized job application metrics from internal databases to downstream systems (e.g., Elasticsearch), enabling real-time insights and enhanced user recommendations.
- Improved product performance through rigorous validation testing and iterative design revisions.
- Managed documentation and schematics for each new product.
- Evaluated recommendation system performance using confusion matrices to measure the accuracy of predicted vs. actual user interactions, helping fine-tune relevance and reduce false positives.
- Mapped user journeys with Sankey plots to visualize how users navigated through recommended content, identifying drop-off points and optimizing the recommendation flow for better engagement.
- Built a self-service configuration management tool using Java, Spring Boot, MongoDB, and REST APIs to enable internal teams to manage system configurations without engineering support.
- Implemented validation logic, role-based access control, and audit logging, which led to a significant reduction in support tickets and improved operational efficiency.
- Hands-on experience with CI/CD pipelines using Jenkins for automating build, test, and deployment processes in Java Spring Boot applications.
- Familiar with SonarQube for static code analysis and maintaining high code quality by monitoring bugs, vulnerabilities, and code smells.
- Experience with API automation and unit testing in both Python and Java, contributing to improved test coverage and early defect detection using tools like JUnit, Mockito, and PyTest.
Product Data Analyst
Phenom People
02.2019 - 04.2022
- Produced monthly reports using advanced Excel spreadsheet functions.
- Used statistical methods to analyze data and generate useful business reports.
- Improved decision-making processes with accurate data analysis and visualization techniques.
- Utilized data visualization tools to effectively communicate business insights.
Education
B.Tech - Electrical, Electronics And Communications Engineering
DMS SVH
Machilipatnam, India 04.2001 -
Skills
Customer focus
Root-cause analysis
Project management
Product testing
Failure analysis
Java
Python
Spring boot
Timeline
Product Development Engineer
Phenom People
04.2022 - Current
Product Data Analyst
Phenom People
02.2019 - 04.2022
B.Tech - Electrical, Electronics And Communications Engineering
DMS SVH
04.2001 -
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