Krishna M

Krishna M

Associate Software Engineer @ Morgan Stanley

Country

United States

City

Sayreville

Industry

Computer Software

Skill

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

Morgan Stanley

Associate Software Engineer

Morgan Stanley

LinkedIn
2024-6 - Present · 2 yrs 4 mos

New York, New York, United States

Iowa State University

Graduate Research Assistant

Iowa State University

LinkedIn
2023-8 - 2024-6 · 11 mos

• 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

ADP India

ADP

LinkedIn
2022-6 - 2023-8 · 1 yr 3 mos

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.

Cognizant

Software Engineer Intern

Cognizant

LinkedIn
2021-4 - 2022-5 · 1 yr 2 mos

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.

Education

Iowa State University

Iowa State University

LinkedIn

Computer Science

2023-8 - 2025-8 · 2 yrs 1 mo
Vardhaman College of Engineering (VCEH)

Vardhaman College of Engineering (VCEH)

LinkedIn

Computer Science

2018-5 - 2022-6 · 4 yrs 2 mos

Krishna M's Contact Information

Email

******@***.com

Phone

(**) *** ****

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