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resume.html
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---
layout: default
title: Resume
---
<link rel="stylesheet" href="/assets/css/resume.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css">
<div class="resume-container">
<!-- Header -->
<header class="resume-header">
<h1><a href="https://www.puneet.io/"><i class="fas fa-user-circle"></i> Puneet Singh Ludu</a></h1>
<div class="contact-info">
<a href="mailto:[email protected]"><i class="fas fa-envelope"></i> [email protected]</a> |
<i class="fas fa-map-marker-alt"></i> New York, NY | <i class="fas fa-phone"></i> +1-(716) 867-4344
</div>
<div class="social-links">
<a href="https://github.com/puneetsl" class="social-link">
<i class="fab fa-github"></i> GitHub
</a> |
<a href="https://www.linkedin.com/in/puneetsl" class="social-link">
<i class="fab fa-linkedin"></i> LinkedIn
</a> |
<a href="https://www.kaggle.com/puneetsl" class="social-link">
<i class="fab fa-kaggle"></i> Kaggle
</a>
</div>
</header>
<!-- Education -->
<section class="resume-section">
<h2><i class="fas fa-graduation-cap"></i> Education</h2>
<div class="education-item">
<div class="degree">
<strong>Master of Science</strong> in <strong>Computer Science</strong>
<div class="institution"><i class="fas fa-university"></i> State University of New York, Buffalo, NY</div>
<div class="year"><i class="far fa-calendar-alt"></i> 2014</div>
</div>
</div>
<div class="education-item">
<div class="degree">
<strong>B. Tech.</strong> in <strong>Computer Science</strong>
<div class="institution"><i class="fas fa-university"></i> Jaypee Institute of Information Technology, Noida, India</div>
<div class="year"><i class="far fa-calendar-alt"></i> 2010</div>
</div>
</div>
</section>
<!-- Skills -->
<section class="resume-section">
<h2><i class="fas fa-tools"></i> Skills</h2>
<div class="skills-grid">
<div class="skill-category">
<h3><i class="fas fa-code"></i> Languages</h3>
<div class="skill-tags">
Python • Java • C/C++ • Bash • Javascript • HTML • SQL
</div>
</div>
<div class="skill-category">
<h3><i class="fas fa-layer-group"></i> Frameworks</h3>
<div class="skill-tags">
PySpark • Keras • Metaflow • KubeFlow • TensorFlow • PyTorch • MongoDB • FastAPI • Django
</div>
</div>
</div>
</section>
<!-- Experience -->
<section class="resume-section">
<h2><i class="fas fa-briefcase"></i> Experience <span class="duration">~11 years</span></h2>
<!-- Current Role -->
<div class="experience-item">
<div class="role-header">
<h3>Machine Learning Engineer</h3>
<div class="company-info">
<span class="company"><i class="fas fa-building"></i> Zillow</span> |
<span class="duration"><i class="far fa-calendar-alt"></i> Sep 2021 - Present</span> |
<span class="location"><i class="fas fa-map-marker-alt"></i> Remote</span>
<span class="year-count">~3 Years</span>
</div>
</div>
<div class="projects">
<div class="project">
<h4><i class="fas fa-chart-line"></i> Interactive CMA & Realtime Valuation</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Django, DocumentDB, PyTorch [Siamese Neural Network]</div>
<p>Architected and led the end-to-end development of an interactive Comparative Market Analysis (CMA) platform with Realtime Valuations, Property Embeddings and Comps API, providing agents and buyers with data-driven tools to support home pricing, enhancing client decision-making and driving potential revenue through valuation services.</p>
<div class="impact"><i class="fas fa-bullseye"></i> Impact: 0 to 1 project to boost engagement and satisfaction, paving the way for new revenue streams</div>
</div>
<div class="project">
<h4><i class="fas fa-server"></i> Zestimate Infrastructure Modernization</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Python, Terraform, AWS, Kubeflow, Metaflow, Docker, Gitlab CI</div>
<p>Led the modernization of a critical valuation ML infrastructure, transitioning to more cost-effective, containerized technologies, resulting in substantial annual cost savings and enhanced system scalability.</p>
<div class="impact"><i class="fas fa-bullseye"></i> Impact: Achieved operational improvements and annual cost savings of $500k.</div>
</div>
<div class="project">
<h4><i class="fas fa-users"></i> Technical Innovation & Team Collaboration</h4>
<p>Integrated advanced machine learning tools into team workflows and established coding standards, significantly enhancing collaboration and experiment tracking capabilities. Contributed to open-source projects.</p>
<div class="impact"><i class="fas fa-bullseye"></i> Impact: Improved overall team efficiency, code quality. Reduced On-Call alerts by 95%</div>
</div>
<div class="project">
<h4><i class="fas fa-chalkboard-teacher"></i> Leadership & Mentorship</h4>
<p>Managed interns and Mentored new hire, fostering technical skill development and guiding them through project contributions.</p>
</div>
</div>
</div>
<!-- Previous Roles -->
<div class="experience-item">
<div class="role-header">
<h3>Machine Learning Engineer</h3>
<div class="company-info">
<span class="company"><i class="fas fa-building"></i> OkCupid</span> |
<span class="duration"><i class="far fa-calendar-alt"></i> May 2020 - Sep 2021</span> |
<span class="location"><i class="fas fa-map-marker-alt"></i> New York City</span>
<span class="year-count">~1.5 Years</span>
</div>
</div>
<div class="projects">
<div class="project">
<h4><i class="fas fa-percentage"></i> Discount Optimization</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Python, Keras, TensorFlow, Weights and Biases [Wide&Deep]</div>
<p>Lead the efforts to optimize subscription pricing(discounts) to maximize the revenue for OKCupid, Implemented end-to-end ML pipelines, feature engineering, modelling, alerting etc.</p>
<div class="impact"><i class="fas fa-bullseye"></i> Impact: Increased overall revenue by 6% through A/B testing against assigned prices</div>
</div>
</div>
</div>
<div class="experience-item">
<div class="role-header">
<h3>Machine Learning Engineer</h3>
<div class="company-info">
<span class="company"><i class="fas fa-building"></i> FactSet</span> |
<span class="duration"><i class="far fa-calendar-alt"></i> Jan 2018 - May 2020</span> |
<span class="location"><i class="fas fa-map-marker-alt"></i> New York City</span>
<span class="year-count">~2.5 Years</span>
</div>
</div>
<div class="projects">
<div class="project">
<h4><i class="fas fa-microphone"></i> Speaker Identification</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Python, Keras, Spectrograms, CNN</div>
<p>Developed a system to identify speakers from live audio during company calls (e.g., earning calls) using spectrograms and CNN-based deep learning models.</p>
</div>
<div class="project">
<h4><i class="fas fa-database"></i> Private Company Fact Extraction</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Python, Keras, Sagemaker, ELMo, BiLSTM, Blazingtext</div>
<p>Led the development of a system to extract full company names, key people, their titles, and biographies from 1.6 million crawled and cached websites of private companies.</p>
</div>
</div>
<div class="projects">
<div class="project">
<h4><i class="fas fa-search"></i> Similar Concepts & Type Ahead</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Apache Spark, Python, Java, Word2Vec, Distributed Trie</div>
<p>Developed concept suggestion system based on queries extracted from news articles and PDF reports. Implemented distributed trie-based autocomplete/auto-suggest feature for the FactSet terminal.</p>
</div>
<div class="project">
<h4><i class="fas fa-chart-bar"></i> Trending Topics & Formula Ranking</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Python, Apache Spark, Doc2Vec, N-gram Language Models</div>
<p>Built system to identify trending topic clusters from recent news articles. Developed user clustering and formula ranking system for the type-ahead feature of FactSet terminal.</p>
</div>
</div>
</div>
<div class="experience-item">
<div class="role-header">
<h3>Software Engineer</h3>
<div class="company-info">
<span class="company"><i class="fas fa-building"></i> FactSet</span> |
<span class="duration"><i class="far fa-calendar-alt"></i> Apr 2015 - Sep 2016</span> |
<span class="location"><i class="fas fa-map-marker-alt"></i> New York City Metropolitan Area</span>
<span class="year-count">~1.5 Years</span>
</div>
</div>
<div class="projects">
<div class="project">
<h4><i class="fas fa-copy"></i> Duplicate Document Identification</h4>
<div class="tech-stack"><i class="fas fa-code"></i> Java, Shingling, Vector Space Models</div>
<h4>Duplicate Document Identification</h4>
<div class="tech-stack">Java, Shingling, Vector Space Models</div>
<p>Developed a service to identify duplicate documents in real-time from a large stream of documents using shingling and vector space models.</p>
</div>
<div class="project">
<h4>Earnings and Stock Correlation Analysis</h4>
<div class="tech-stack">Python, Java, Logistic Regression</div>
<p>Built a system to analyze correlation between social media sentiments and company earnings/stocks using logistic regression.</p>
</div>
</div>
</div>
<div class="experience-item">
<div class="role-header">
<h3>Research Engineer (Machine Learning / Big Data)</h3>
<div class="company-info">
<span class="company">Tata Research Development and Design Centre (TRDDC)</span> |
<span class="duration">Jul 2011 - Aug 2013</span> |
<span class="location">Noida Area, India</span>
<span class="year-count">~2 Years</span>
</div>
</div>
<div class="projects">
<div class="project">
<h4>Time Series Analysis on Big Data</h4>
<div class="tech-stack">Stream Processing, Time Series Analysis, Pattern Mining</div>
<p>Worked on a research project involving stream fusion and time series analysis of sensor data. Responsible for conceptualizing and implementing various algorithms involving interdependent causality detection, pattern mining to extract interesting information and patterns.</p>
</div>
<div class="project">
<h4>Data Harmonization Framework (DHF)</h4>
<div class="tech-stack">MapReduce, Apache Pig, ETL, Big Data</div>
<p>Implemented the next generation ETL framework that exploits the power of map-reduce and big-databases to fuse incongruous enterprise data from disparate sources in near real time to give one harmonized view of the data and thus making analytics simpler and faster.</p>
<p>Conceptualized an end-to-end ETL tool built over DHF capable of generating Apache Pig scripts useful for making Harmonization process easy and seamless.</p>
</div>
</div>
</div>
<div class="experience-item">
<div class="role-header">
<h3>Developer (Assistant System Engineer)</h3>
<div class="company-info">
<span class="company">Tata Consultancy Services</span> |
<span class="duration">Dec 2010 - Jun 2011</span> |
<span class="location">Thiruvananthapuram Area, India</span>
<span class="year-count">7 Months</span>
</div>
</div>
<div class="projects">
<div class="project">
<h4>Trainee Evaluation System</h4>
<div class="tech-stack">PHP, jQuery, Moodle</div>
<p>Led team of two in the development of 'Trainee Evaluation System' deployed in the TCS Trivandrum training center. Created the whole system from scratch using PHP and jQuery, and was responsible for integrating 'Moodle' into this evaluation system.</p>
</div>
<div class="project">
<h4>Resource Planning and Scheduling System</h4>
<p>Developed solution for the long standing problem in the training center of managing resources and scheduling them in optimal and fail-safe way. Also worked as a guest author in the "Linux and FOSS" section of the training material.</p>
</div>
</div>
</div>
<!-- Add FactSet and TRDDC roles similarly -->
</section>
<!-- Publications -->
<section class="resume-section">
<h2>Publications</h2>
<div class="publications-list">
<div class="publication">
<a href="http://dl.acm.org/citation.cfm?id=2806657">Inferring Latent Attributes of an Indian Twitter user using Celebrities and Class Influencers</a>
<div class="publication-venue">ACM Hypertext 2015 (<a href="https://www.youtube.com/watch?v=9BtWs3Rn2Ng">ppt</a>)</div>
</div>
<div class="publication">
<a href="http://arxiv.org/abs/1405.6667">Inferring gender of a Twitter user using celebrities it follows</a>
<div class="publication-venue">CORR 2014</div>
</div>
<div class="publication">
<a href="http://arxiv.org/abs/1206.2484">Architecture for Automated Tagging and Clustering of Song Files According to Mood</a>
<div class="publication-venue">IJCSI, 2010</div>
</div>
</div>
</section>
<!-- Personal Projects -->
<section class="resume-section">
<h2>Personal Projects</h2>
<div class="projects-list">
<div class="project-item">
<h3>Organizer @ MUFin</h3>
<p>Committee member, organizer and reviewer to the MUFin Workshop at top conferences, focusing on innovative approaches to modeling uncertainty in the financial sector (AAAI2023, PKDD2022)</p>
</div>
<div class="project-item">
<h3>Resume Analyzer</h3>
<p>Resume analysis tool that uses OpenAI's API to improve resume and prepare an impactful introduction script</p>
</div>
<div class="project-item">
<h3>Lotion</h3>
<p>Unofficial Notion.so Desktop app for Linux (2K+ GitHub stars / 60K+ Clones & Downloads)</p>
</div>
<div class="project-item">
<h3>Romadeva</h3>
<p>Tool to convert Roman script to Indic(Devanagari) script (Used by https://translatorswithoutborders.org)</p>
</div>
<div class="project-item">
<h3>jTextBrew</h3>
<p>A JAVA library for fuzzy string matching, based on TextBrew algorithm by Chris Brew</p>
</div>
<div class="project-item">
<h3>Quena</h3>
<p>Question and Answering system – Indexed 1.6 Million Wikipedia documents, designed a question parser and a ranking algorithm based on popularity. (Apache Solr, NER, POS tagger)</p>
</div>
</div>
</section>
</div>
<style>
/* Resume Styles */
.resume-container {
max-width: 1200px;
margin: 0 auto;
padding: 2rem;
color: var(--text-primary);
background: var(--section-bg);
border-radius: 12px;
}
.resume-header {
text-align: center;
margin-bottom: 2rem;
padding-bottom: 1rem;
border-bottom: 2px solid var(--primary-color);
}
.resume-header h1 {
margin-bottom: 0.5rem;
color: var(--text-primary);
}
.contact-info, .social-links {
margin: 0.5rem 0;
color: var(--text-secondary);
}
.social-link {
color: var(--link-color);
text-decoration: none;
padding: 0.25rem 0.5rem;
border-radius: 4px;
transition: all 0.2s ease;
}
.social-link:hover {
color: var(--primary-hover);
background: var(--tech-stack-bg);
}
.resume-section {
margin-bottom: 2rem;
padding: 1.5rem;
background: var(--card-bg);
border-radius: 8px;
box-shadow: var(--card-shadow);
}
.resume-section h2 {
color: var(--text-primary);
border-bottom: 2px solid var(--primary-color);
padding-bottom: 0.5rem;
margin-bottom: 1.5rem;
display: flex;
justify-content: space-between;
align-items: center;
}
.education-item, .experience-item {
margin-bottom: 1.5rem;
padding: 1rem;
background: var(--section-bg);
border-radius: 8px;
}
.skills-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
gap: 1.5rem;
}
.skill-category h3 {
color: var(--text-primary);
margin-bottom: 1rem;
}
.skill-tags {
color: var(--text-secondary);
line-height: 1.6;
}
.role-header {
margin-bottom: 1rem;
}
.company-info {
color: var(--text-secondary);
margin: 0.5rem 0;
}
.tech-stack {
display: inline-block;
background: var(--tech-stack-bg);
color: var(--tech-stack-text);
padding: 0.4rem 0.8rem;
border-radius: 12px;
font-size: 0.9rem;
margin: 0.5rem 0;
}
.impact {
color: var(--text-secondary);
background: var(--tech-stack-bg);
padding: 0.75rem 1rem;
border-radius: 8px;
margin-top: 1rem;
border-left: 3px solid var(--primary-color);
}
.project {
margin-bottom: 1.5rem;
}
.project h4 {
color: var(--primary-color);
margin-bottom: 0.5rem;
}
.publications-list, .projects-list {
display: grid;
gap: 1rem;
}
.publication, .project-item {
padding: 1rem;
background: var(--section-bg);
border-radius: 8px;
}
.publication-venue {
color: var(--text-secondary);
font-size: 0.9rem;
margin-top: 0.25rem;
}
@media (max-width: 768px) {
.resume-container {
padding: 1rem;
}
.skills-grid {
grid-template-columns: 1fr;
}
}
</style>