
Krishna M
Associate Software Engineer @ Morgan Stanley
United States
Sayreville
Computer Software
Core Java, Angular, Snowflake, Kubernetes, Artificial Intelligence (AI), Privacy and Security Algorithms, Theory of Computation, Operating Systems, Programming Languages, Computer Networks, Data Structures, Machine Learning, Python (Programming Language), OpenCV, Computer Vision, Spring Boot, Confluent Kafka, MongoDB, Redis, Jenkins
Experience

Graduate Research Assistant
• Built real-time data processing pipelines in Python for motion tracking and pose estimation workflows for development of Unitree Humanoid Robot. • Developed algorithmic workflows for motion analysis using computer vision and numerical validation, improving pose accuracy by 95% and reducing system latency by 60%.

ADP India
Hyderabad, Telangana, India
Developed Spring Boot microservices for payroll and business-system workflows, improving scalability and maintainability of backend processing. • Built secure REST APIs for client data ingestion using OAuth2 and JWT, improving reliability of downstream service inte grations. • Implemented Confluent Kafka for asynchronous messaging between distributed services, supporting high-volume payroll pro cessing and reducing service coupling. • Automated recurring payroll data operations using Spring Schedulers and batch processing, improving throughput for scheduled workflows. • Used MongoDB for document-based storage and Redis for caching frequently accessed data, improving response times for read-heavy operations. • Applied the Token Bucket algorithm for API rate limiting and worked with gateway-based request handling to improve stability during peak traffic. • Supported CI/CD workflows using Jenkins and OpenShift to improve release consistency and deployment reliability.

Software Engineer Intern
Hyderabad, Telangana, India
Worked on development of Java and Spring Boot backend services for enterprise transaction and business processing systems. • Worked on development of ETL and data processing pipelines to extract, transform, and load large datasets across enterprise systems, improving data availability and consistency. • Automated data validation and cleansing workflows using staging checks, field-level validation rules, and transformation logic, reducing manual effort and improving downstream data quality. • Optimized Oracle queries, stored procedures, and indexing strategies for ETL-heavy workloads, reducing query latency by 50% and improving batch processing performance. • Developed REST and SOAP integrations to connect modern services with legacy enterprise platforms and support cross-system communication.
Krishna M's Contact Information
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