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puneet.ludu@gmail.com | New York, NY | +1-(716) 867-4344
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Education |
Master of Science in Computer Science, State University of New York, Buffalo, NY 2014 |
B. Tech. in Computer Science, Jaypee Institute of information Technology, Noida, India 2010 |
Skills |
Languages |
Frameworks |
Languages |
Python • Java • C/C++ • Bash • Javascript • HTML • SQL |
PySpark • Keras • Metaflow • KubeFlow • TensorFlow • PyTorch • MongoDB • FastAPI • Django |
Experience |
~11 years |
Machine Learning Engineer, Sep 2021 - Present, Zillow, Remote |
~3 Years |
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Interactive CMA & Realtime Valuation (Django, DocumentDB, PyTorch) [Siamese Neural Network] 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. Impact: 0 to 1 project to boost engagement and satisfaction, paving the way for new revenue streams |
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Zestimate Infrastructure Modernization (Python, Terraform, AWS, Kubeflow, Metaflow, Docker, Gitlab CI) 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. Impact: Achieved operational improvements and annual cost savings of $500k. |
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Technical Innovation & Team Collaboration Integrated advanced machine learning tools into team workflows and established coding standards, significantly enhancing collaboration and experiment tracking capabilities. Contributed to open-source projects. Impact: Improved overall team efficiency, code quality. Reduced On-Call alerts by 95% |
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Leadership & Mentorship Managed interns and Mentored new hire, fostering technical skill development and guiding them through project contributions. |
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Machine Learning Engineer, May 2020 - Sep 2021, OkCupid, New York City |
~1.5 Years |
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Discount Optimization (Python, Keras, TensorFlow, Weights and Biases)[Wide&Deep] 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. Impact: Increased overall revenue by 6% through A/B testing against assigned prices |
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Machine Learning Engineer, Apr 2015 - May 2020, FactSet, New York City |
~5 Years |
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Earning Call Speaker Identification (Python, TensorFlow, Keras)[Spectrograms, CNN] Developed and deployed an end-to-end speaker identification system to identify speakers in real-time during company quarterly earnings calls using computer vision and deep neural networks. Impact: In early testing it was estimated to save around 20% human-hours |
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Private-company fact extraction (Python, Keras, Sagemaker, DataBricks)[ELMo, BiLSTM, Blazingtext] Lead the efforts to extract 'full company name' with key-people, their titles and biographies etc. from 1.6 million crawled and cached websites of private companies. |
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Fuzzy Duplicate Document Identification Service (Java, Couchbase)[Shingling, Vector Space Models] Developed full-stack solution to identify the duplicate documents in real time, given a stream of thousands of documents per day Impact: 66% reduction in compute time for document processing. Also, used by StreetAccount to find trending news. |
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Type-Ahead and Query expansion (Apache Spark, Java, Python)[Distributed Trie, LogisticRegression] Lead developer for implementing features like Autocomplete Query(Type Ahead) and suggest similar concepts to expand the formulated query for a 'Financial Document Search Engine' |
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Realtime Formula Ranking (Apache Spark, Python)[N-gram Language models] Developed the pipeline to cluster users and rank the formulas in the feature of FactSet terminal Impact: Average rank brought down from 5.6(ElasticSearch based) to 2.3(Language Model based) |
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ML Research Engineer, July 2011 - July 2013, Tata Research Development and Design Centre, India |
~2 Years |
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Event Detection in Time Series (Java, Python, Rapidminer)[SVM - RBF] Wrote an algorithm based on Shape Context for finding frequently occurring patterns and events, with as good results as SAX, DTW etc. with 7% better results in the particular domain of car sensors. Data Harmonization Framework (DHF) (Java, Apache Pig) Implemented an ETL framework that exploits the power of map-reduce and big-databases to fuse incongruous enterprise data from disparate sources in near real time. |
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Publications |
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"Inferring Latent Attributes of an Indian Twitter user using Celebrities and Class Influencers", ACM Hypertext 2015 (ppt) "Inferring gender of a Twitter user using celebrities it follows", CORR 2014 "Architecture for Automated Tagging and Clustering of Song Files According to Mood", IJCSI, 2010 |
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Personal Projects |
Organizer @ MUFin 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) Resume Analyzer Resume analysis tool that uses OpenAI's API to improve resume and prepare an impactful introduction script Lotion Unofficial Notion.so Desktop app for Linux (2K+ GitHub stars / 60K+ Clones & Downloads) Romadeva Tool to convert Roman script to Indic(Devanagari) script (Used by https://translatorswithoutborders.org) jTextBrew A JAVA library for fuzzy string matching, based on TextBrew algorithm by Chris Brew Quena 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) |
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