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Nandinee Naulakha

Open to work2 years experience

Software Development Engineer 2

BengaluruTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

SDE-2 with 2 years of experience in AI, building LLM applications, AI agents, and scalable backend solutions

GitHub

Standing Rank

Rank Not Available

Developer Badges

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Skills & Technologies

23 skills
PythonLLMsAI AgentsRAGLangchainLanggraphLlamaIndexAutogenMicrosoftAgentFrameworkDeepAgentsPrompt EngineeringFastAPISQLPostgresVector Databases(Milvus)DockerKubernetesIstio(ServiceMesh)GitAWSAzureDevopsPrometheusGrafana

Work Experience

Software Development Engineer 2

MetrumAI

Aug 2024 - Present Bengaluru
  • Infrastructure Agent: Designed and implemented an end-to-end GenAI system to automate datacenter operations such as OS provisioning and BIOS/firmware upgrades using Idrac Redfish APIs, with observability via Prometheus and scalable orchestration using Model Context Protocol (MCP) and OPEA architecture.
  • Upgraded the agent architecture from custom workflows to the AutoGen framework, and further migrated to the Microsoft Agent Framework using A2A protocol and MCP tools, enabling multi-agent collaboration, improved extensibility, and standardized agent-to-agent communication.
  • Enhanced system performance and scalability by upgrading the data layer to Redis cache and GreptimeDB, deploying the platform on Kubernetes with Istio service mesh, and building an onboarding module using NetBox for bulk infrastructure discovery and uploads.
  • Metrum Insights: Developed benchmarking templates and scripts for AI workloads (NIMs, vLLM, TensorRT), with pre-fit model-hardware compatibility checks to optimize runtime efficiency.
  • Content Creator: Built a solution using LangGraph and FastAPI for agentic pipeline for auto-generating product spec sheets and newsletter with one-click deployment using Docker and Nginx.
  • Enterprise HR Agent: Architected a complete React agentic workflow with Human-in-the-Loop for automating HR tasks like leave management, policy resolution, and poc routing with Contextual Retrieval (RAG) approach using Milvus vector database.

Technical Research Analyst

Intellipaat Software Solutions

Aug 2023 - Jul 2024 Bengaluru
  • Leveraged Python and OOPs concepts to optimize data processes, resulting in reduction in processing time and improvement in SQL query efficiency, thereby enhancing overall team productivity.
  • Designed and implemented secure, highly available AWScloud solutions, achieving high uptime and reducing data processing time through scalable and efficient resource management.

Projects

Sentiment Analysis of Movie Reviews

Machine LearningPythonNumPyPandasNLTKScikit-Learn
  • Built a sentiment analysis ML pipeline using Bag-of-Words and Naive Bayes to extract viewer insights from movie reviews, improving classification accuracy and enabling data-driven content optimization.

Multi-Tier Website Deployment

AWSEC2VPCRDSAuto ScalingLoad Balancer
  • Designed and deployed a scalable multi-tier web architecture on AWS using EC2, RDS, and VPC with Auto Scaling and Load Balancing to enhance performance, availability, and fault tolerance.

Code Stream Optimization

GitGitHubDockerJenkinsAWS CodeBuild
  • Optimized CI/CD workflows through Git-based version control, automated builds, Docker containerization, and Jenkins pipelines, reducing deployment errors and improving team productivity.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Achievements Not Earned

Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.

About Details

Professional Bio

Software Engineer with experience building AI agents, LLM applications, and backend systems using Python and FastAPI. Currently working on enterprise AI solutions involving RAG, MCP, Kubernetes, and cloud technologies. I enjoy solving real-world problems and learning new AI tools.

BTech. Computer Science in Computer Science

Lovely Professional University (2020 - 2024)

Languages: English, Hindi