<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Home on Omkar Gade</title><link>https://website-delta-two-94.vercel.app/</link><description>Recent content in Home on Omkar Gade</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://website-delta-two-94.vercel.app/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://website-delta-two-94.vercel.app/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://website-delta-two-94.vercel.app/about/</guid><description>&lt;p&gt;👋🏻 Hi, I&amp;rsquo;m Omkar.&lt;/p&gt;
&lt;p&gt;I&amp;rsquo;m a software engineer based in Pune, India. I like building distributed systems, data pipelines, and AI agents that work in the real world — not just in demos.&lt;/p&gt;
&lt;p&gt;I graduate from &lt;a href="https://www.pict.edu"&gt;Pune Institute of Computer Technology&lt;/a&gt; in June 2026 with a B.E. in Electronics &amp;amp; Telecommunication.&lt;/p&gt;
&lt;h2 class="heading" id="what-i-think-about"&gt;
 What I think about
 &lt;a class="anchor" href="#what-i-think-about"&gt;#&lt;/a&gt;
&lt;/h2&gt;
&lt;p&gt;A lot of my work sits at the boundary between &lt;strong&gt;metadata, data infrastructure, and durable systems&lt;/strong&gt; — connectors, lineage extraction, event-driven pipelines, and the kind of glue that has to keep working when things go wrong. Some themes I keep coming back to:&lt;/p&gt;</description></item><item><title>Projects</title><link>https://website-delta-two-94.vercel.app/projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://website-delta-two-94.vercel.app/projects/</guid><description>&lt;p&gt;A selection of things I&amp;rsquo;ve built.&lt;/p&gt;
&lt;h2 class="heading" id="ai"&gt;
 AI
 &lt;a class="anchor" href="#ai"&gt;#&lt;/a&gt;
&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://github.com/omkargade04/sentinel-agent"&gt;&lt;strong&gt;sentinel-agent&lt;/strong&gt;&lt;/a&gt; — AI-powered GitHub PR-review agent. Temporal for durable orchestration, LangGraph for multi-step reasoning, Neo4j knowledge graph (CALLS / IMPORTS / CONTAINS), Tree-sitter AST extraction, validator stage to ground every finding. p90 latency under 5 min, 95% review-publish success. &lt;code&gt;Python&lt;/code&gt; &lt;code&gt;2026&lt;/code&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://github.com/omkargade04/echo.ai"&gt;&lt;strong&gt;echo.ai&lt;/strong&gt;&lt;/a&gt; — Real-time audio bridge between developers and AI coding agents. Narrates what the agent is doing, alerts when it&amp;rsquo;s blocked, accepts voice responses — so you never have to return to the screen. &lt;code&gt;Python&lt;/code&gt; &lt;code&gt;2026&lt;/code&gt;&lt;/p&gt;</description></item><item><title>Work Experience</title><link>https://website-delta-two-94.vercel.app/work/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://website-delta-two-94.vercel.app/work/</guid><description>&lt;h3 class="heading" id="atlan--software-engineer-i"&gt;
 &lt;a href="https://atlan.com"&gt;Atlan&lt;/a&gt; — Software Engineer I
 &lt;a class="anchor" href="#atlan--software-engineer-i"&gt;#&lt;/a&gt;
&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;Jan 2025 — Present&lt;/strong&gt; · Apps Development · Pune, India (Remote, SF HQ)&lt;/p&gt;
&lt;p&gt;Owner of metadata pipelines across &lt;strong&gt;Snowflake, Databricks, BigQuery, dbt, Kafka, and Matillion&lt;/strong&gt; on Atlan&amp;rsquo;s connector platform. Subject Matter Expert for the Tags pipeline. Stack: &lt;strong&gt;Python, Java, Go, Kubernetes, Temporal, Argo, Kafka, Neo4j&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Highlights&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Snowflake Listings &amp;amp; Shares&lt;/strong&gt; — Engineered ingestion end-to-end (typedefs, ETL, lineage) powering Atlan Data Products. &lt;strong&gt;Demoed at Snowflake Summit&lt;/strong&gt; as a flagship capability.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Snowflake Secure Agent&lt;/strong&gt; — Architected Crawler/Miner to extract metadata inside the customer&amp;rsquo;s Kubernetes cluster without sharing credentials. &lt;strong&gt;Unblocked enterprise deals at JPMC, Morgan Stanley, and P&amp;amp;G&lt;/strong&gt;.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Databricks Cross-Workspace Lineage&lt;/strong&gt; — Owned end-to-end across multi-workspace edge cases (masked entities, private catalogs, system-table joins). Positioned Atlan as the differentiated source of truth over native Databricks UC (which renders cross-workspace assets as masked objects).&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Databricks OAuth/SSO + Cross-Workspace OAuth&lt;/strong&gt; — Engineered for Insights and Sample Data preview. &lt;strong&gt;Unblocked P&amp;amp;G and Kaizen Gaming&lt;/strong&gt;.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Databricks lineage generator&lt;/strong&gt; — Engineered graph-based generator for PATH-type and temp-table lineage; collapsed multi-hop temp-table chains into clean upstream-downstream edges. Reduced major tech debt and improved lineage observability for every Databricks customer.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Unified Tag Contract&lt;/strong&gt; — Owned the Tags Sync Pipeline across Snowflake, BigQuery, Databricks, and dbt as SME. Architected a unified contract consolidating three divergent connector flows into one publish-app implementation. Architected tag drift observability and reconciliation via the Metadata Lakehouse.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Kafka V3 + Temporal Native migration&lt;/strong&gt; — Owned migration of all three flavors (Apache Kafka, Confluent, Amazon MSK) to App SDK V3 + Temporal Native Orchestrator, retiring Argo workflows for the connector.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Customer escalations&lt;/strong&gt; — Drove on-call resolution for &lt;strong&gt;easyJet, GM, Loopback, AIMCO, ASOS, Virgin Media O2, FIFA, Dropbox, NYL, Sargento, Tide&lt;/strong&gt;. Shipped permanent fixes with sub-24hr turnaround on RCAs.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Performance&lt;/strong&gt; — Optimized SQL queries and I/O to handle &lt;strong&gt;62M+ records&lt;/strong&gt;; reduced Kubernetes pod memory footprint by &lt;strong&gt;~10GB&lt;/strong&gt; (Parquet + DuckDB processing), eliminating recurring OOM failures.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Matillion Custom CA Cert support&lt;/strong&gt; — Engineered SSL custom-CA import flow; &lt;strong&gt;saved Sargento&amp;rsquo;s PrivateLink integration&lt;/strong&gt; when the customer was about to abandon.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h3 class="heading" id="shelf-yc-s22--backend-developer-intern"&gt;
 &lt;a href="https://www.linkedin.com/company/shelfpay"&gt;Shelf (YC S22)&lt;/a&gt; — Backend Developer Intern
 &lt;a class="anchor" href="#shelf-yc-s22--backend-developer-intern"&gt;#&lt;/a&gt;
&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;Aug 2024 — Oct 2024&lt;/strong&gt; · Bengaluru, India (Remote)&lt;/p&gt;</description></item></channel></rss>