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PARAS CHAUDHARY

Senior Software Engineer - Large Language Models at Morgan & Morgan
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👤 About

Skills & Expertise

C/C++ Java TypeScript Python Ruby React Native React Node.js Vue.js PyTorch TensorFlow Keras Scikit-Learn Pandas Numpy MySQL Amazon DynamoDB Redis Snowflake BigTable MongoDB ElasticSearch HDFS Kafka Spark Kubernetes

Research Interests

research development data analysis data mining machine learning deep learning natural language processing computer vision cloud computing software engineering project management communication teamwork problem-solving critical thinking

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💼 Experience

Senior Software Engineer - Large Language Models

Morgan & Morgan · April 2023 - Present
Researched & developed state-of-the-art AI solution to ingest 180TB of unstructured documents data, collected by USAs biggest injury law firm, to generate response in mins for any discovery request made to a plaintiff, saving case-managers 5+ hrs per matter

Software Development Engineer - Natural Language Processing

Amazon Web Services (AWS) · June 2022 - April 2023
Designed & deployed distributed locking mechanisms to synchronize the NLU & CV pipeline responsible for enriching data of 1bn.+ products per year, across 20 marketplaces, from unstructured data associated with these listings like FAQs, reviews, etc. Recognized for spearheading metrics creation project to quantify contributions of our ML pipelines, thereby discovering and mitigating erroneous data generation of 300mn. products, biggest error in teams history (>30% of total effort for that year)

Quantitative Research Intern

Sauma Capital · May 2021 - Sep 2021
Coded backtesting module to compare wealth distribution weights (across 11 asset classes) generated by 750+ different combinations of Portfolio Allocation strategies, objective functions and 13 self-implemented ML-based returns estimators

Cyber Security Analyst

Ernst & Young · Jun 2020 - Jan 2021
Assessed current IT infrastructure of clients by utilizing penetration testing, doing incident response and making root cause reports

Data Science Intern

Times Internet · Jun 2019 - Jul 2019
Devised a reverse-marketing product recommender for mShop (adjunct site to MensXP- India's largest men's lifestyle site) projected to convert 1-2% of 10 million monthly visitors of MensXP

🎓 Education

Columbia University (CU)

Master of Science in Computer Science · 2022

Carnegie Mellon University

Master of Information Systems Management in · 2020

Jaypee Institute of Information Technology, Noida (JIIT)

Bachelor of Technology in Computer Science · 2020
Description (between 50 and 1500 characters)

🚀 Projects

Patrol Portal and Safepath
Launched Ruby on Rails websites, one for active civil collaboration (with 500+ registered volunteers currently) to attend to, and the other to suggest fast safe paths to take that avoided multiple,- incidents of cognizable crimes in a locality
Fetal Head Segmentation on Ultrasound Images
Altered FCN-8 model (with 18 VGG16 layers) to classify pixels to fetal head class
Communication Enhancer for Hearing/Speech Impaired
Achieved state-of-the-art results in realtime sign language translation by applying LSTM on estimated hand poses using only mobile camera input
InPin - Trends Locator
Developed ETL pipeline using RabbitMQ and AWS services to bi-weekly scrape user generated data of 45k+ NYC restaurants from Instagram, which were assigned ML and NLP based trending scores to discover the top most liked places around
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