Vivek Singh

Software Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

4+ years of experience in backend software engineering.
Expertise in building scalable cloud services and microservices.
Proven track record in AI-driven automation workflows.

Stackforce AI infers this person is a Backend Software Engineer specializing in Cloud Services and AI-driven solutions.

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Skills

Core Skills

JavaMicroservicesPythonMachine LearningCi/cd

Other Skills

Spring BootHelidonOCIAutonomous DBMongoDBData GuardREST APIsGitBashLinuxOracle JETFlaskLangChainChromaDBNLP/ML

About

Backend Software Engineer with 4+ years of experience building scalable cloud services, distributed systems, and microservices. Skilled in Java, Python, REST APIs, and system design. Delivered core backend features for Oracle Cloud’s database ecosystem and developed AI-driven automation workflows using LangChain and vector databases.

Experience

4 yrs 11 mos

Total Experience

4 yrs 11 mos

Average Tenure

4 yrs 11 mos

Current Experience

Oracle

Senior Member of Technical Staff

Jul 2021 – Present · 4 yrs 11 mos · Bengaluru, Karnataka, India

OCI Control Plane & Database Services:
Designed and implemented backend services enabling MongoDB connection provisioning, replacing manual CLI operations with service-driven configuration exposed through OCI’s control plane.
Built APIs that dynamically generate language-specific connection samples (Java, Python, JavaScript, MongoDB API), consumed by the Database Connections interface to streamline developer onboarding.
Designed and delivered backend logic for a new “Developer” database tier, including provisioning flows, resource constraints, and service behavior for lightweight development workloads.
Developed backend workflows to temporarily disconnect and reconnect disaster-recovery databases (Autonomous Data Guard and backup-based DR), increasing operational flexibility during maintenance and testing.
Contributed to microservice deployments, CI/CD automation, service orchestration, and infrastructure changes, improving system reliability, observability, and scalability.
Tech: Java, Python, Spring Boot, Helidon, OCI, Autonomous DB, MongoDB, Data Guard, REST APIs, Git, Bash, Linux, Oracle JET (consumer), Microservices.
Agentic Workflow (AWF) Platform:
Designed and built AI-driven backend workflows enabling prompt composition, LLM invocation, content retrieval, and knowledge-base chunking for automated knowledge processing.
Implemented a YAML-based pipeline serialization system, enabling dynamic, reusable configurations for AI agents across services.
Integrated LangChain/LangGraph-based backend pipelines with vector databases to improve automation throughput and scalability.
Tech: Python, Flask, LangChain, LangGraph, Ollama, Cohere, ChromaDB, NLP/ML, Document Processing,
Embeddings.

JavaPythonSpring BootHelidonOCIAutonomous DB+8

Intel corporation

Graduate Technical Intern

Jan 2021 – Jun 2021 · 5 mos · Bengaluru, Karnataka, India · On-site

Machine Learning–Driven Developer Productivity Tool:
Developed an ML-powered log intelligence system to automatically detect critical failure patterns and
performance bottlenecks in CI/CD pipelines, reducing debugging time by up to 30%.
Integrated intelligent log analysis with developer workflows, enabling real-time insights and proactive
issue detection during builds and deployments.
Tech: Python, Machine Learning, CI/CD, Jenkins, Grafana, MySQL, Automation.

PythonMachine LearningCI/CDJenkinsGrafanaMySQL+1