I build production AI systems — distributed backends, agentic LLM pipelines, MCP servers, full-stack apps. Previously at Amazon (Seattle) building computer-vision models on 500K+ daily images and microservices serving 100K+ requests/second. Now Senior Software Engineer at HHA Medicine (Corpus Christi, TX) building RAG systems and GPT-4 clinical decision support across 15+ hospitals.
I treat side projects as production code — type checks, tests, infra, the lot. The portfolio is the running log.
| Project | What it is | Live | Code | Tests/CI |
|---|---|---|---|---|
| Portfolio | Netflix-style portfolio + Reddy Pulse auto-blog + Project DANDA daily venture pipeline | dandaakhilreddy.com | repo | ✅ smoke + watchdog |
| Reddy-Fit Body Scanner | Daily 10s video body scan · pose AI · Coach's Orders · Azure Blob durable storage | app | repo | ✅ 58 tests · 100% coverage gate |
| Valdez Magic | Scan your gym on video → AI detects equipment → full longevity workout program + "Valdez" AI coach | app | repo | ✅ 46 tests |
| ReddyHedge Live | 5 legendary-investor AI personas debate any ticker → panel verdict (Azure Foundry) | app | repo | ✅ smoke |
| WiFiVision | Presence detection from WiFi CSI — $10 ESP32 build + interactive browser demo | demo | repo | — |
| Reddy Pulse | Autonomous daily tech blog (5 posts/day) + LinkedIn caption email — runs on GitHub Actions + Azure Foundry | blog | pipeline | ✅ cloud cron + failover |
| Project DANDA | Daily AI venture blueprint: 1000 news articles → one startup idea + full architecture | latest | pipeline | ✅ cloud cron + failover |
All apps deployed on Railway (one project, four services) · media & databases durable in Azure Blob (rudy-valdez resource group).
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AI-powered talent scouting on Azure. Paste a JD, get a ranked candidate shortlist with explainable Match & Interest scores. Live recruiter ↔ candidate-persona conversations stream to the UI via SSE.
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Real-time market data + AI investment insights. Live quotes, candlestick charts, technical indicators (SMA / EMA / RSI / MACD / Bollinger), price predictions, news sentiment.
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Preparing a proposal for "Saving Timestamp for Each Created Marker" (90h) on the open-source medical imaging project.
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A new project most days: persistent LLM memory, on-device inference, agent orchestration, multi-agent hedge-fund sims.
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Languages
AI / Backend
Frontend
Cloud & DevOps
Tools
| Where | Role | Highlights |
|---|---|---|
| HHA Medicine | Senior Software Engineer Jan 2023 – Present · Corpus Christi, TX |
RAG systems with 40% improved relevance · GPT-4 clinical support for 50K+ daily decisions · 100GB+ daily healthcare data |
| Amazon | Software Development Engineer Feb 2022 – Jan 2023 · Seattle, WA |
CNN models on 500K+ daily images · 100K+ req/sec microservices · 65% latency reduction · 25% cost reduction |
| Texas A&M University | MS Computer Science | Graduate research in ML / systems |
- Cricket — competitive league play in San Antonio. Scored a century there. The single sport where strategy, patience, and craft all sit at the same table.
- Building LLM systems — fine-tuning, RAG pipelines, agent orchestration, prompt engineering. Anything where models actually do work, not just chat.
- Quantum computing & research — daily arXiv reader, following quantum hardware progress and post-quantum cryptography.
Open to senior backend / AI-ML / agent-infrastructure roles · Always up for a conversation on systems and language models.