<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Experience on Ujjal</title><link>https://ujjalkumarmaity.github.io/experience/</link><description>Recent content in Experience on Ujjal</description><generator>Hugo -- 0.154.5</generator><language>en-us</language><lastBuildDate>Sat, 01 Jul 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://ujjalkumarmaity.github.io/experience/index.xml" rel="self" type="application/rss+xml"/><item><title>Software Engineer</title><link>https://ujjalkumarmaity.github.io/experience/software-engineer/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://ujjalkumarmaity.github.io/experience/software-engineer/</guid><description>&lt;p&gt;&lt;strong&gt;Openmynz (Client: ATX)&lt;/strong&gt;&lt;br&gt;
&lt;em&gt;Project-Based Engagement&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Worked on &lt;strong&gt;video distribution and conversion platforms&lt;/strong&gt; (DVIS-2, MDmini) for enterprise clients.&lt;/li&gt;
&lt;li&gt;Built and optimized backend services using &lt;strong&gt;Python, Django, WebSockets, and gRPC&lt;/strong&gt;.&lt;/li&gt;
&lt;li&gt;Focused on &lt;strong&gt;performance optimization&lt;/strong&gt;, including memory leak detection, CPU usage reduction, and system stability improvements.&lt;/li&gt;
&lt;li&gt;Improved &lt;strong&gt;TimescaleDB and PostgreSQL performance&lt;/strong&gt; through query optimization and schema tuning.&lt;/li&gt;
&lt;li&gt;Deployed and maintained services using &lt;strong&gt;Docker, Docker Compose, and Kubernetes&lt;/strong&gt; on Linux environments.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tech Stack:&lt;/strong&gt; Python, Django, WebSocket, gRPC, Docker, Kubernetes, TimescaleDB, PostgreSQL, Linux&lt;/p&gt;</description></item><item><title>AI Engineer</title><link>https://ujjalkumarmaity.github.io/experience/ai-engineer/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://ujjalkumarmaity.github.io/experience/ai-engineer/</guid><description>&lt;p&gt;&lt;strong&gt;Encubate Tech Private Ltd.&lt;/strong&gt; · Pune, India&lt;br&gt;
&lt;em&gt;July 2023 – Present&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Built a &lt;strong&gt;resume ranking and retrieval system&lt;/strong&gt; using &lt;strong&gt;RAG architecture&lt;/strong&gt; and fine-tuned &lt;strong&gt;BERT-based models&lt;/strong&gt; to improve job–candidate matching accuracy.&lt;/li&gt;
&lt;li&gt;Generated resume and job description embeddings using &lt;strong&gt;Sentence Transformers&lt;/strong&gt; and optimized ranking with &lt;strong&gt;cosine similarity–based loss&lt;/strong&gt;.&lt;/li&gt;
&lt;li&gt;Designed a &lt;strong&gt;resume segmentation system&lt;/strong&gt; using a &lt;strong&gt;Bi-LSTM&lt;/strong&gt; model to classify resume sections (experience, education, skills, etc.), improving downstream parsing accuracy and inference efficiency.&lt;/li&gt;
&lt;li&gt;Implemented &lt;strong&gt;NER pipelines with BERT&lt;/strong&gt; for extracting personal and structured information from resumes, deployed as scalable APIs.&lt;/li&gt;
&lt;li&gt;Contributed across the &lt;strong&gt;end-to-end ML lifecycle&lt;/strong&gt;: data preparation, model fine-tuning, evaluation, deployment, and monitoring.&lt;/li&gt;
&lt;li&gt;Deployed and managed AI services on &lt;strong&gt;AWS and Azure&lt;/strong&gt; with production-grade reliability.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tech Stack:&lt;/strong&gt; Python, NLP, PyTorch, Transformers, RAG, Sentence Transformers, MongoDB, AWS, Azure&lt;/p&gt;</description></item><item><title>AI Application Engineer</title><link>https://ujjalkumarmaity.github.io/experience/ai-application-engineer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ujjalkumarmaity.github.io/experience/ai-application-engineer/</guid><description>Encubate Tech Private Ltd. · Pune, India</description></item></channel></rss>