As a Lead Software Engineer, I specialize in developing innovative applications using scalable LLMs, embedding models, and Milvus DB. In my role as an MLOPS Engineer, I collaborate with Data Scientists to enhance and optimize ML models and pipelines. Noteworthy achievements include the development of a real-time CDC system for moving billions of records, supporting diverse sources such as Snowflake, Cloud Storages, Apache Iceberg, and RDBMS. My expertise extends to ensuring project security through Fortify, Mend, and Image Scans (ECR Vulnerability scans). Additionally, I have developed an Incremental data validation Spark application, showcasing a comprehensive skill set in software engineering and data management.

Dedicated and results-oriented professional with a proven track record of collaborating with multi-disciplinary product development teams to identify and implement performance improvement opportunities. I specialize in integrating trained models for Healthcare products, showcasing expertise in Python and Spark programming. I have actively contributed to optimizing infrastructure by working closely with Senior Architects, ensuring faster and more efficient onboarding processes. Committed to knowledge-sharing, I have mentored junior developers in Spark and AWS, fostering a collaborative and innovative work environment.

Experienced professional adept at driving successful technology transformations. Key achievements include the seamless migration of a Spark application to Apache Flink with an event-driven architecture for a Telecom client. I have developed event-driven applications capable of handling database operations and external calls. My expertise extends to researching, designing, and implementing scalable applications for data extraction, analysis, and monitoring, leveraging cloud-based solutions such as KDA, Lambda, SQS, SNS, Kinesis Streams, CloudWatch, and EMR. I excel in maintaining and optimizing existing applications to enhance system performance. Additionally, I have worked on machine learning applications, particularly in predicting future traffic patterns.

Experienced professional adept at driving successful technology transformations. Key achievements include the seamless migration of a Spark application to Apache Flink with an event-driven architecture for a Telecom client. I have developed event-driven applications capable of handling database operations and external calls. My expertise extends to researching, designing, and implementing scalable applications for data extraction, analysis, and monitoring, leveraging cloud-based solutions such as KDA, Lambda, SQS, SNS, Kinesis Streams, CloudWatch, and EMR. I excel in maintaining and optimizing existing applications to enhance system performance. Additionally, I have worked on machine learning applications, particularly in predicting future traffic patterns.

Experienced Solution Engineer with a strong background in the development and management of finance and market-related software. I specialize as a Data Engineer, proficient in data cleaning, acquisition, transformation, and migration using Microsoft SSIS, specifically for Index and Security data. My project involvement spans diverse technologies, including SQL, SSIS, Java, and Python, showcasing a versatile skill set in software development and data engineering.