Every Computer Science journey begins with Hello World. Mine began with Age of Empires, which shaped how I think about systems, tradeoffs, and execution. Today I focus on backend-heavy products that improve reliability, scale data pipelines, and make internal teams move faster.
The orbit map below shows how that focus formed across education, internships, distributed systems work, and internal product delivery.
A career path from forecasting and geospatial ML into distributed data platforms and internal product engineering. Select a phase to enter the full 3D career orbit.
Sole engineer for production operational software supporting enrollment teams, 8,000+ devices, and 300+ employees.
Built high-volume ingestion, Kafka transfer, and analytics infrastructure across production platform services.
Developed LANDSAT classification and labeling workflows for vegetation and remote-sensing use cases.
Built and evaluated customer-demand forecasting models across multiple regression loss settings.
Three case studies that show how I handle product constraints, system boundaries, and measurable outcomes. Each opens into the architecture and tradeoffs behind the build.
Task management connected to AI suggestions, saved places, active-browser location checks, and Telegram-first actions across a production-style service architecture.
Four LLM-powered agents play Texas Hold'em with isolated private memory, distinct behavior, deterministic playback, and post-hand reasoning reveals.
Event-driven market ingestion with polling, streaming, low-latency caching, durable persistence, analytics-ready APIs, containers, tests, and CI.
Planning, anomaly detection, image pipelines, retrieval, and explainability across a multi-assignment implementation suite.
End-to-end coupon creation and QR redemption workflow using Google Sheets as the operational system of record.
Restoration, segmentation, tracking, multimodal workflows, and geolocation with reproducibility notes and reusable scripts.
Recruiter-facing assistant that retrieves structured portfolio context and returns grounded answers through Gemini.
I work across backend systems, data-heavy services, and internal product delivery. These are the capability areas I reach for most often, rather than an exhaustive inventory of every tool I have touched.
Primary programming languages I use across systems work, APIs, scripting, and front-end implementation.
Frameworks and backend patterns I use for web apps, APIs, service layers, and application architecture.
Technologies I have used for messaging, large-scale data processing, and cross-service communication.
Libraries and data tooling I use for analytics, machine learning, geospatial work, retrieval, and LLM workflows.
Cloud platforms, storage systems, testing, and workflow tools I use for shipping and maintaining software.
Coursework focus: Algorithms, Big Data, Options Pricing and Stochastic Calculus, Search Engines.
Coursework focus: Data Mining, Deep Learning, Machine Learning, Natural Language Processing.
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Download PDFIf you want to talk through backend systems, internal tools, AI-enabled workflows, or a role where I can help ship reliable software, reach out directly or send a note below.
