I designed and shipped Spotnana's 𝐀𝐈 𝐓𝐫𝐢𝐚𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦, a fully autonomous pipeline that monitors incoming production incidents, automatically triggers multi-layer root cause analysis, and delivers actionable diagnostics without human intervention, combining LLMs with real-time observability data across a distributed microservices backend.

🔹 𝗕𝘂𝗶𝗹𝘁 𝗮 𝗧𝘄𝗼-𝗦𝘁𝗮𝗴𝗲 𝗛𝘆𝗯𝗿𝗶𝗱 𝗥𝗔𝗚 𝗲𝗻𝗴𝗶𝗻𝗲 (Vector Retrieval + LLM Reranking) to cross-reference incoming incidents against thousands of historical resolutions for automated precedent matching.

🔹 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 𝗺𝘂𝗹𝘁𝗶-𝘀𝗼𝘂𝗿𝗰𝗲 𝗱𝗮𝘁𝗮 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 that dynamically fetches and synthesizes context from application logs, distributed traces, and raw supplier API payloads to surface silent failures that traditional monitoring misses.

🔹 𝗕𝘂𝗶𝗹𝘁 𝗮𝗻 𝗟𝗟𝗠-𝗱𝗿𝗶𝘃𝗲𝗻 𝗘𝗧𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 to pre-process and structure noisy historical ticket data into high-signal embeddings for a specialized similarity search database.

🔹 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗲𝗱 𝗹𝗮𝘆𝗲𝗿𝗲𝗱 𝗣𝗜𝗜 𝘀𝗰𝗿𝘂𝗯𝗯𝗶𝗻𝗴 (client-level filtering, local pattern-matching, and contextual LLM scrubbing) for SOC2-compliant handling of sensitive customer data.

🔹 𝗕𝘂𝗶𝗹𝘁 𝗮 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗨𝗫 𝗹𝗮𝘆𝗲𝗿 𝗮𝗻𝗱 𝗦𝗹𝗮𝗰𝗸/𝗝𝗶𝗿𝗮 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 providing real-time automated triaging, manual-trigger capabilities, and an interactive context-aware Q&A interface for deep-dive investigation.

🔹 𝗩𝗲𝗿𝗶𝗳𝗶𝗮𝗯𝗹𝗲 𝗶𝗺𝗽𝗮𝗰𝘁: 4x triage throughput at 2x resolution speed vs. manual baseline, with no quality degradation (comparable reopen rates). Resolved 88 production bugs in one month vs. 21 per engineer on average without using AI.

🛠️ 𝗧𝗲𝗰𝗵: Java • Python • Kafka • gRPC • Temporal • AWS • PostgreSQL • Cassandra • Kibana • Zipkin • Datadog • Jira API • Slack API • OpenAI API

🔹 Build and run an AI/ML lab focused on decision-support tools for equity portfolios and pari-mutuel / event markets.

🔹 Built a deterministic EV/odds engine for live pari-mutuel / event markets (banded odds, shrinkage, minimum-N guards) that shows consistently positive ROI in both out-of-sample backtests and real-money betting.

🔹 Designed an AI-assisted research & risk pipeline for a concentrated equity portfolio — factor tables, dashboards, and sizing rules that have outperformed broad equity benchmarks on a risk-adjusted basis.

🔹 Use LLMs + retrieval (RAG) to turn raw market data into bilingual (EN/ZH) decision memos for the investor, tying “what changed” to real positions and portfolio actions.

Senior Software Engineer on the API Platform team for Samsara’s Connected Operations Cloud, which processes trillions of data points and tens of billions of API calls every year across fleets, equipment, sites, and sensors.

🔹Owned core pieces of the public REST/GraphQL API stack: reverse proxy, auth, org-to-cell routing, and rate limiting for high-volume customers integrating TMS, ERP, and analytics tools.

🔹Designed and shipped features to make the API layer more reliable and observable: timeouts, scoped auth, leaky-bucket rate limits backed by Redis, better request logging, and dashboarding in Datadog / CloudWatch / Databricks.

🔹Led the engineering work for a certified Microsoft Power BI custom connector: OAuth2 auth, schema design, pagination, and performance tuning so customers could self-serve Samsara telemetry into BI without custom ETL.

🔹Worked across 300+ microservices and a cell-based, multi-region architecture, coordinating changes with service owners to keep APIs backwards-compatible while evolving schemas and adding new endpoints.

🔹Regularly on PagerDuty for 24/7 production support: led incident response for API outages and customer-visible regressions, did deep dives using logs + traces + data lake queries, and drove follow-up fixes into the platform.

🔹 Work with business partners to create joint web application, SaaS, and data integration solutions.

🔹 Create new product ideas, write patent, and create project prototypes then see it all the way to market. See section on patent for information on using Generative AI (ChatGPT) for RPA processes.

🔹 Hands-on 360° product development from inception to release using an assortment of technologies that includes: Node, JS, APEX, C#, Azure, AWS, API, RESTful API, Salesforce APEX and others.

🔹 Build corporate partnership and communicate effectively with non-technical business stakeholders both inside and outside the company. Facilitate partnership discussion and make Power Point presentation for company Executives.

🔹 Organize development process and mentor junior team members, interview potential hires. SCRUM master. Team lead.

🔹 Lead a team of Engineers with hands-on development to create a world-first next-gen virtual assistant for business using advanced artificial intelligence (AI) and machine learning (ML) using Node and Azure.

🔹 Integrated IBM Watson and Microsoft Luis to understand natural human speech at greater than 99% accuracy (NLU).

🔹 Created a seamless augmented reality (AR) using the latest machine learning technologies on mobile. Allow customers to naturally converse with their business software while driving.

🔹 Mimic human speech with machine learning (ML) similar to Amazon Alexa. Use Microsoft Bot Framework to orchestrate dynamic, multi-layered conversations.