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Academic & Professional Achievements
AWS Certified AI Practitioner (AIF-C01)
Earned certification demonstrating proficiency in AI and Machine Learning services offered by AWS.
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MongoDB Certified Developer, Associate (C100DEV)
Earned certification demonstrating proficiency in MongoDB development and data modeling best practices.
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VoyageAI with MongoDB
This digital credential validates your knowledge of implementing Voyage AI models with MongoDB, including vector embeddings, auto-embeddings, and two-stage retrieval patterns to improve search relevance.
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AI Data Strategy with MongoDB
Certified in developing effective data strategies for AI applications using MongoDB, including data architecture, management, and optimization techniques to support AI workloads.
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Memory for AI Apps
Certified in designing and implementing memory architectures for AI applications using MongoDB Atlas, including best practices for data storage, retrieval, and management to enhance AI performance.
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Vector Search Performance
Certified in optimizing vector search performance in MongoDB Atlas, including index configuration, query optimization, and best practices for handling high-dimensional data.
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From Relational Model (SQL) to MongoDB's Document Model
Certified in helping customers migrate from relational databases to MongoDB's flexible document model for improved scalability.
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AI Agents with MongoDB
Completed training on building AI-powered applications using MongoDB as the data backbone.
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Building AI Apps with MongoDB on AWS
Gained expertise in architecting AI applications leveraging MongoDB and AWS.
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MongoDB Schema Design Patterns and Anti-Patterns
Validates the ability to design efficient MongoDB schemas using key patterns and to avoid common antipatterns that impact performance.
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MongoDB Advanced Schema Design Patterns and Anti-Patterns
Validates your expertise in advanced schema design, including managing schema changes without downtime and recognizing performance-impacting antipatterns.
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MongoDB Atlas Networking Security
Validates your knowledge of MongoDB Atlas networking security, including VPC peering, private endpoints, access controls, TLS encryption, and best practices for securing deployments.
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MongoDB Self-Managed Authentication and Authorization
Validates your expertise in securing self-managed MongoDB with advanced authentication, user management, and RBAC.
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MongoDB Encryption at Rest with BYOK
Validates your ability to encrypt MongoDB data at rest using customer-managed keys, integrate key management systems, and configure encryption policies for enhanced security and compliance.
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MongoDB Sharding Strategies
Validates your expertise in designing and managing MongoDB sharded clusters for scalability and high availability, including setting up sharding, choosing optimal shard keys, and adapting sharding strategies to evolving application needs.
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Learning That Shaped Me
PG Certification in Product Management
Developed skills in product strategy, user research, and agile methodologies to drive successful product outcomes.
PG Diploma in Data Science
Gained expertise in machine learning, statistical modeling, and big data technologies to derive insights from complex datasets.
B.E. in Computer Science
Built a strong engineering foundation in data structures, operating systems, and human-centered software design.
Projects
Selected Work
MongoDB Virtual Filesystem Adapter for LangChain DeepAgents
deepagents_mongodb_fs implements DeepAgents' BackendProtocol, routing grep, glob, and ls through MongoDB Atlas (vector search + full-text search + hybrid $rankFusion) while forwarding all other file operations (read, write, edit, upload_files, download_files) directly to S3, MinIO, etc.
Context Engineering for Agentic Applications on AWS Bedrock AgentCore and MongoDB Atlas
A reusable AWS Bedrock AgentCore and MongoDB Atlas architecture for managing context, memory, retrieval, governance, and observability in production-ready agentic applications.
MongoDB Power in Kiro
A Kiro power that connects your IDE directly to MongoDB databases and Atlas clusters. Query collections, design schemas, optimize indexes, translate natural language to queries, and manage Atlas infrastructure — all through natural language in your editor.
Deploying MongoDB MCP Server on AWS Bedrock AgentCore
AI agents are only as useful as the tools they can access. With the Model Context Protocol (MCP) becoming the standard for connecting AI models to external data sources, running MCP servers in managed cloud environments is the natural next step. In this post, we'll walk through deploying the MongoDB MCP Server on AWS Bedrock AgentCore — giving your AI agents direct, structured access to MongoDB databases.
Announcing support for Kinesis Data Streams in MongoDB Atlas Stream Processing
Historically, syncing AWS Kinesis Data Streams with MongoDB Atlas required complex custom code and constant maintenance. MongoDB Atlas Stream Processing now eliminates this friction with a native Kinesis integration, allowing users to effortlessly stream, enrich, and analyze real-time data from IoT, logs, and applications.
Building Landing Zones with AWS and MongoDB
Architected and implemented secure, scalable landing zones on AWS integrated with MongoDB for rapid application deployment.
Hybrid Search on Amazon Bedrock Knowledge Base with MongoDB Atlas
Perform Hybrid Search with MongoDB Atlas as a vector store with Amazon Bedrock Knowledge Base to deliver accurate and contextually relevant search results.
Build offline-first apps with AWS and MongoDB Atlas
Develop offline-first applications using AWS services and MongoDB Atlas to ensure seamless user experiences in low-connectivity environments.
Build your own Managed GraphQL APIs using AWS AppSync and MongoDB Atlas
Create managed GraphQL APIs with AWS AppSync and MongoDB Atlas to resolve your data residing in MongoDB Atlas clusters.
Boost Connected Car Developments with MongoDB Atlas and AWS
Learn how to leverage MongoDB Atlas and AWS services to accelerate the development of connected car applications.
AWS x MongoDB Atlas Quickstarts
In this deployment guide you will get an overview of MongoDB capabilities and use cases along with a well-architected MongoDB Atlas solution ready to run in your AWS environment (using AWS CloudFormation).
AWS Glue Visual ETL for Your Data in MongoDB Atlas
This blog post provides a tutorial on using AWS Glue's visual ETL capabilities to build serverless data pipelines between MongoDB Atlas and AWS S3, enabling developers to extract, transform, and load data without needing Spark or SQL expertise.
zenSCM
A fully integrated international logistics solution from source to pay.zenSCM unifies sourcing and shipment management to give you full control from source to pay. Make smarter decisions across your entire supply chain - so you can cut costs, grow revenue, and operate with confidence.
Career
Professional Journey
Partner Solutions Architect
Building highly available and scalable integrations between MongoDB and AWS 🤝
Principal Engineer
Led the development of a scalable Air Exports/Imports platform, overseeing shipment operations valued at USD 10M. Managing a team of 10 developers to deliver end-to-end logistics solutions.
Senior Software Engineer
Spearheaded the design and development of core Exportify features (Notifications, Search, Booking APIs, Team Collaboration) using Python/Flask, MongoDB, and AWS S3/Boto3. Optimized application stability and scalability by migrating database infrastructure to MongoDB Atlas and integrating key third-party services like Mailgun and Msg91.
Software Engineer
Developed essential user-facing features (Invoicing System, Review Booking, Filtering Page) and core backend components (Cron Jobs, Custom Parser) using Python/Flask, BeautifulSoup, and Linux scheduling. Focused on enhancing operational efficiency and user experience through system automation and the implementation of robust financial and data processing utilities.
Resume
Curriculum Vitae
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