Experienced Software Engineer with a track record spanning over 5 years, specializing in Java and Python programming. Proficient in the complete software development life cycle, from design to testing, installation, and maintenance, particularly focused on API development. Adept at micro-service architecture and well-versed in AWS (S3, EC2, SQS, ELB, EFS) and Azure cloud services.Passionate about staying current with the latest tools and concepts in development, including LLM fine-tuning of models like T5, Phi3, and Llama2, as well as technologies such as LoRA, LoRAx, LangChain, and prompt engineering. Experienced in developing RAG-based chatbots. Proven capability to excel in independent projects and collaborative team environments. Skilled in Agile methodologies, leading projects from ideation to completion.Notable Achievements:- Designed and developed an adverse media screening solution capable of summarizing news articles in the context of a given entity name. Fine-tuned the LLM model to perform conditional summarization of news articles, reducing manual investigation efforts by 80%.- Orchestrated a real-time fraud alert system using Kafka, Redis, MSSQL, JPA, and Spring Boot, decreasing false positives by 50%.- Elevated Anti Money Laundering processes by leveraging Neo4j's graph database, enhancing efficiency and accuracy.- Developed a business rule manager using Spring Boot, JPA, and MSSQL, leading to streamlined operations, improved decision-making, and a 30% cost reduction.- Pioneered an AML data analytical and inference pipeline using Apache Airflow and Spark, drastically reducing processing time by 60%.Technical Proficiency:Java, Spring Boot, JPA, Hibernate, Kafka, Jenkins, Maven, Python, SQL, AWS, Apache Solr, Elastic Search, spacy, Django, among others.Adept in Stakeholder Management and a keen enthusiast of Machine Learning and analytics. Deep experience with neural networks (MLP, CNN, RNN, LSTM, BERT, RCNN), delivering multiple solutions in customer analytics and fraud management.Contributed to diverse projects including Compliance, Fraud Management, Risk Management, Customer Segmentation, Customer Analytics, and Sanctions (Payment Screening).#SeniorSoftwareEngineer #EffiyaTechnologies #JNUAlumni #JavaDeveloper #PythonProgrammer #MicroservicesExpert #MachineLearningEnthusiast #NLPWizard #MCAGraduate #RaviSaroj