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Designed and implemented AWS-based DevOps solutions focused on automation, reliable deployments and scalable cloud infrastructure. Built and managed CI/CD pipelines using Jenkins and GitHub, automated infrastructure provisioning with Terraform, and containerized applications using Docker for deployment on Amazon EKS. Worked with AWS services including EC2, VPC, IAM, S3, EKS and Lambda, with secure access and cloud networking configurations. Implemented monitoring and observability using Amazon CloudWatch, Prometheus and Grafana to track infrastructure and application health. Worked with Kubernetes deployments, services, scaling and production-oriented configuration, along with SonarQube for code quality and Bash/Python automation. Focused on reducing manual deployment effort, improving infrastructure consistency, supporting reliable application releases and troubleshooting cloud and deployment issues.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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A procedural shaded-relief cartographer's table; export the map as PNG.
I built this project to test A procedural shaded-relief cartographer's table; export the map as PNG. The core engineering challenge was sustaining uncompromised 60 FPS rendering using Canvas2D while handling continuous user interaction without framework overhead.
WHAT I WAS TESTING:
I focused on two core engineering benchmarks:
Real-time topographic contour line extraction using Marching Squares
Mountain ridge carving and hydrographic river basin generation
THE TECHNICAL SIDE:
Combines domain-warped fractional brownian motion (fBm) with Marching Squares contour generation. Renders vintage parchment styled topographic maps with seeded coordinates.
Everything executes in the browser using Canvas2D, Procedural Cartography, Contour Line Marching Squares. No third-party frameworks, no heavy runtime bundles, and zero external tracking.
WHAT I LEARNED:
Contour line marching squares often generated disconnected micro-segments. Stitching adjacent line segments into continuous polyline paths allowed smooth canvas stroke rendering.
Finding the sweet spot between mathematical precision and frame budget took careful profiling, but the result runs at a steady 60 FPS even on modest hardware.
TRY IT YOURSELF:
The live build is deployed on Netlify. Open it in your browser, test the controls, and observe the render response times.
If you are building high-performance 3D, physics, or creative web systems and want to collaborate, reach out here on Contra.
Really nice map detail
Enterprise RAG AI: Private Doc Intelligence
A fast-growing B2B software firm needed a secure, enterprise-grade Retrieval-Augmented Generation (RAG) system to query thousands of confidential internal documents (legal contracts, technical architecture specs, Notion pages, and employee SOPs) in real time without third-party data leakage.
Key Challenges:
High hallucination risk and irrelevant context retrieval using standard keyword search.
Managing multi-format files (scanned PDFs, tables, markdown) with strict access control based on user hierarchy.
Technical Implementation & Solution:
• Engineered an automated ingestion pipeline in Python with LlamaIndex and LangChain for semantic chunking and metadata preservation.
• Integrated a hybrid vector search architecture pairing dense embeddings (OpenAI text-embedding-3) with sparse BM25 indexing in Qdrant.
• Added a cross-encoder re-ranking layer (Cohere Re-ranker) to prune low-relevance chunks, reducing API token costs by 40%.
• Built robust Role-Based Access Control (RBAC) via FastAPI endpoints, ensuring departmental data isolation.
Results & Impact:
• Dropped internal information retrieval time from 20 minutes to under 4 seconds.
• Attained 98% factual precision with traceable in-line page citations.
• Full on-prem Docker deployment ensuring 100% private data security.
Led email marketing setup and campaign execution in HubSpot for a SaaS platform with 60k+ contacts. Built foundational workflows, launched a recurring newsletter, and supported ongoing campaigns across teams. Focused on creating a consistent, scalable system for communication and engagement. Resulted in improved campaign reliability, streamlined processes, and stronger audience engagement across high-volume sends. Resulted in improved open and click rates, reliable delivery to 1M+ emails, and more consistent audience engagement.
