Karmanya Aggarwal
Philadelphia,PA
Summary
Engineer with 3 years of experience in machine learning. Skilled in natural language processing, information retrieval and full stack engineering.
Overview
5
5
years of professional experience
5
5
years of post-secondary education
Work History
Research Assistant
University Of Pennsylvania
Philadelphia, PA
10.2021 - Current
- Advised by Professor Duncan Watts and Professor Chris Callison‑Burch
- Built scalable information extraction system to track news stories and events across 500K news articles from 20 publishers with .9 F1
- Built zero shot classification models ingesting 1% of all news videos on YouTube.
- Relevant Tech: PyTorch, SQL, Transformers, Spacy
Machine Learning Engineer Intern
Twilio
San Francisco, CA
05.2022 - 08.2022
- Stood up model training pipeline for an anomaly detection system handling billions of events per day, allowing for significantly faster model iteration.
- Designed heuristics to reduce false positive rate(FPR) of an online learning based anomaly detection system by 5%.
- Relevant Tech: PyTorch, Salesforce‑Merlion, Kafka, Presto, SQL
Machine Learning Engineer
DoctorC
Hyderabad, Telangana
10.2020 - 08.2021
- Developed neural network models for sales leads qualification, increasing monthly revenue by 30%.
- Improved sales leads to orders conversion in Ahmedabad from 2% to 25% by speeding up page loads.
- Optimized routing of phlebotomists to handle 100x increase in at home testing orders during the Covid-19 pandemic
- Relevant Tech: Tensorflow, Scikit‑learn, Django, PostgreSQL, React, XGBoost
Research Engineer
IIIT Delhi
New Delhi, Delhi, India
10.2018 - 10.2020
- Developed BERT‑based models for automated grammar correction system. System supported 800 requests/second and beat commercially available system by 15%
- Developed good governance dashboards for the Delhi Government reducing untracked discretionary spending by 80%.
- Relevant Tech: PyTorch, Docker, Django, FastAPI, Vue, VegaCharts, MySQL
Data Science Engineer
Gramener
Hyderabad, Telangana, India
01.2018 - 09.2019
- Developed an active learning tool for sentiment analysis for Dell, resulting in a 20% improvement in net promoter score.
- Built Geocluster, a no‑code tool that allows people to cluster and plot geospatial data.
- Reduced Gramex’s offline deployment time from 3 hours to 30 minutes. Relevant Tech: Docker, pandas, scikit‑learn, d3, jQuery, SQL, XGBoost, lightgbm.
Education
Master of Science - Data Science
University of Pennsylvania
Philadelphia, PA 08.2021 - 05.2023
B.Tech - Computer Engineering
BML Munjal University
Gurgaon, India 08.2014 - 01.2018
Timeline
Machine Learning Engineer Intern
Twilio
05.2022 - 08.2022
Research Assistant
University Of Pennsylvania
10.2021 - Current
Master of Science - Data Science
University of Pennsylvania
08.2021 - 05.2023
Machine Learning Engineer
DoctorC
10.2020 - 08.2021
Research Engineer
IIIT Delhi
10.2018 - 10.2020
Data Science Engineer
Gramener
01.2018 - 09.2019
B.Tech - Computer Engineering
BML Munjal University
08.2014 - 01.2018
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