Hi, I’m Srinivas Dongari, a software developer with 5 years of experience designing and delivering scalable applications across financial services and legal technology domains. I specialize in full‑stack development using Java, Python, TypeScript, and modern frameworks such as React JS, Angular, Spring, and FastAPI. I also build cloud‑native solutions on AWS with Docker, Kubernetes, and Terraform, applying DevOps practices to deploy secure and efficient systems.\n\nI enjoy collaborating with cross‑functional teams to refine detection algorithms, optimize performance, and deliver user‑focused software that makes an impact. I’m always eager to learn, experiment with AI/ML integrations, and translate complex requirements into reliable, maintainable code.

Srinivas Dongari

Hi, I’m Srinivas Dongari, a software developer with 5 years of experience designing and delivering scalable applications across financial services and legal technology domains. I specialize in full‑stack development using Java, Python, TypeScript, and modern frameworks such as React JS, Angular, Spring, and FastAPI. I also build cloud‑native solutions on AWS with Docker, Kubernetes, and Terraform, applying DevOps practices to deploy secure and efficient systems.\n\nI enjoy collaborating with cross‑functional teams to refine detection algorithms, optimize performance, and deliver user‑focused software that makes an impact. I’m always eager to learn, experiment with AI/ML integrations, and translate complex requirements into reliable, maintainable code.

Available to hire

Hi, I’m Srinivas Dongari, a software developer with 5 years of experience designing and delivering scalable applications across financial services and legal technology domains. I specialize in full‑stack development using Java, Python, TypeScript, and modern frameworks such as React JS, Angular, Spring, and FastAPI. I also build cloud‑native solutions on AWS with Docker, Kubernetes, and Terraform, applying DevOps practices to deploy secure and efficient systems.\n\nI enjoy collaborating with cross‑functional teams to refine detection algorithms, optimize performance, and deliver user‑focused software that makes an impact. I’m always eager to learn, experiment with AI/ML integrations, and translate complex requirements into reliable, maintainable code.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Software Developer at PNC Bank
July 1, 2025 - Present
Spearheaded development of the Fraud Detection and Anomaly Monitoring System, enabling real-time identification of suspicious transactions across PNC’s digital banking platforms. Designed and implemented scalable microservices using Python FastAPI and Kafka, processing millions of daily financial events with low latency. Integrated ML models including autoencoders and anomaly detection into production pipelines, improving fraud detection accuracy while reducing false positives by 15%. Deployed cloud-native solutions on AWS EKS and Lambda with Docker, Kubernetes, and Terraform, ensuring high availability and secure infrastructure compliance with financial regulations. Collaborated with cross-functional teams including data science and cybersecurity to refine detection algorithms and implement automated alerting workflows for fraud analysts.
Software Developer at LexisNexis
August 1, 2023 - October 16, 2025
Contributed to the Lex Machina Legal Analytics Engine by developing data pipelines and backend services that transformed raw court filings into structured datasets for litigation insights. Built and optimized ETL workflows in Java Spring Boot and Python to parse, normalize, and enrich millions of legal documents across multiple jurisdictions. Implemented scalable storage solutions using SQL Server and MongoDB, ensuring efficient query performance and reliable data access for analytics applications. Integrated Elasticsearch to support advanced search and filtering capabilities, improving response times for large-scale legal datasets. Collaborated with front-end teams to connect Angular-based dashboards with backend APIs, enabling delivery of interactive analytics for law firms and corporate clients. Automated testing and deployment processes using Jenkins and Selenium, reducing release cycle times and improving overall product stability. Partnered with data scientists to embed natural l

Education

Master in Computer Science at University of Central Missouri
September 1, 2023 - May 1, 2025
Bachelor of Electronics and Communication Engineering at Vignan's Lara Institute of Technology & Science
September 1, 2019 - July 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Professional Services, Software & Internet