Sandeep Singh — Software Engineer
•Sandeep has close to 15 years of IT experience as a AI/ML, Web, Cloud, and Distributed application developer. M.Tech in AI/ML, specializing in Artificial Intelligence and Machine Learning, with deep experience building scalable systems, production-ready models, and end-to-end AI platforms. I focus on solving complex problems with practical, high-impact solutions that deliver measurable business value. • My work spans model development, system design, MLOps, architecture, and cross-functional leadership. I enjoy transforming ideas into reliable products—whether that means designing distributed training pipelines, improving model performance, or leading engineering teams through large-scale AI initiatives. • Over the years, I’ve worked across NLP, computer vision, recommendation systems, and generative AI, delivering systems that are fast, efficient, and easy to maintain. I collaborate closely with product, data, and engineering teams to align technical decisions with real customer needs. •Leading engineering strategy and mentoring teams and Driving AI adoption across products and platforms •Exposure to the latest trends in application development like reactive microservices and event-driven architectures. •Sandeep is involved in low-level design, high-level design, and developing production-grade, reusable, flexible, and configurable frameworks. •Sandeep has expertise in building Microservices using Spring Boot and Spring Cloud (Netflix OSS Stack) in AWS and Azure. •Technical Competencies: AI/ML Stack- Time Series Forecasting, NLP, Linear/Logistic regression, Statistics, Deep Learning (CNN, RNN, LSTM) Architecture like Microservices, Distributed, Domain Driven, Event-driven, Cloud. frameworks/toolkits like Hibernate, Spring, Jersey, Vert.x, and express. A database like RDBMS (Oracle, MySQL) and NoSQL (Cassandra, Mongo DB) Web Services, Restful API using Spring boot, JSON, XML Web APIs Search Technology like Elastic search Tools like Eclipse, IntelliJ, Jira, TeamCity, Rally, Jenkins, etc. Big Data Stack: Apache Kafka, Spark, Hadoop, Hive, etc Dev-Ops: Jenkins, Docker, Ansible, and Kubernetes. • Interests: Scalability, High Availability, Distributed Architecture, Performance tuning, Machine Learning, Big Data technology, Super Scale, low latency, multi-tenant, fault-tolerant, SaaS-based applications.
Stackforce AI infers this person is a Backend-heavy Fullstack developer with expertise in Cloud and Big Data technologies.
Location: Bengaluru, Karnataka, India
Experience: 14 yrs 11 mos
Skills
- Big Data
- Microservices
- Cloud Computing
- Web Development
- Software Development
Career Highlights
- 15 years of experience in AI/ML and Cloud development.
- Expert in building scalable microservices and data pipelines.
- Strong leadership in driving AI adoption across platforms.
Work Experience
Walmart Global Tech India
Staff Software Engineer (3 yrs 1 mo)
SDE-IV (2 yrs 10 mos)
A.P. Moller - Maersk
SDE III (2 yrs)
Visa
Senior Software Engineer (1 yr 4 mos)
Software Engineer (1 yr 3 mos)
OpenText
Software Development Engineer (1 yr 5 mos)
Cognizant
Software Engineer (3 yrs)
Education
Master of Technology - MTech at PES University
Bachelor of Technology (B.Tech.) at Dr. A.P.J. Abdul Kalam Technical University
PGDWTA at Centre for Development of Advanced Computing (C-DAC)