Harshit Manektalia

213-***-**** https://www.linkedin.com/in/harshitmanek/ adv5da@r.postjobfree.com

EDUCATION

UNIVERSITY OF SOUTHERN CALIFORNIA Los Angeles, CA

Master of Science in Computer Science (Artificial Intelligence) GPA: 3.95 Aug 2021-May 2023

● Coursework: Algorithms, Artificial Intelligence, Machine Learning, NLP, Big Data Mining, Deep Learning UNIVERSITY OF DELHI, CLUSTER INNOVATION CENTRE Delhi, INDIA Bachelor of Technology in IT and Mathematical Innovations GPA: 83.15% Rank: 3 Aug 2013-May 2017

● Coursework: Probability & Statistics, Python, C++, R, MATLAB, SQL EXPERIENCE

GENENTECH – NLP powered Recommendation Engine South SF, CA Data Scientist Co-op May 2022–Present

● Spearheading R&D of an NLP based Recommendation Engine to facilitate clinical trial submissions to regulatory authorities.

● The engine uses fine-tuned state-of-the-art Large Language Model and reduces the submission time by ~16 weeks per trial. ELUCIDATA – Drug discovery using Artificial Intelligence Delhi, INDIA Data Scientist Feb 2019–Jul 2021

● Led 6-member team to successfully develop world’s largest curated multi-omics data lake consisting of over 1.5 million datasets, spanning more than 5000 diseases and 50 major public data repositories along with an intuitive analytical interface in R shiny.

● Facilitated labs at UCLA, Yale, Pfizer, and Flagship Pioneering in their research with biomarker identification, drug repurposing, etc. by applying ML and Statistical Models to multi-omics datasets and Computer Vision techniques to imaging datasets.

● Developed a Recommendation Engine to suggest relevant Literature & Datasets by fine-tuning state-of-the-art NLP techniques

( BERT, huggingface transformers ) on bioRxiv and PubMed corpus and using NER tagging for tissue, gene, disease, and drug. INDIQUS TECHNOLOGIES – Cloud Resource Forecasting and Capacity Planning Delhi, INDIA Data Scientist Mar 2017–Feb 2019

● Designed and Implemented VM Capacity Planning using Multivariate Time Series Forecasting, powering intelligent recommendations to scale cloud infrastructure, resulting in 20% monthly cost reduction for customers and reduced churn rate.

● Implemented sales forecasting, customer segmentation, and market basket analysis techniques to assist the sales team, resulting in a 35% month-on-month increase in revenue through new lead generation and successful cross-selling and up-selling strategies. DEFENSE RESEARCH & DEVELOPMENT ORG ., SAG LAB – R&D Org. under Ministry of Defense Delhi, INDIA Machine Learning Research Intern Jun 2014–Dec 2015

● Developed tools for Signature Verification and Face Detection using various ML and DL techniques ( SVM, LDA, CNNs ).

● Designed and presented a neural network-based hybrid classifier at ICEMS 2016, Jaipur, India.

● Implemented, Carried out Attacks, and Ameliorated cryptographic schemes such as Cayley Purser, Wang and Hu, and SVD. ACADEMIC PROJECTS

Celebrity Recognition in Video using Semi-Supervised Learning

● Designed and Implemented an ensemble of two semi-supervised algorithms by combining graph-based similarity measures of MAD with the Transductive Support Vector Machine of LDS.

● Trained and Tested the ensemble on Cropped Yale Database and IMFDB (Indian Movie Face Database), obtaining accuracies of 85% and 65% respectively, thus, outperforming both MAD and LDS when considered individually. Computer vs Human GO using Artificial Intelligence

● Built a Computer versus Human GO game using Alpha-Beta Pruning, Monte Carlo Tree Search, and Deep Learning. TECHNICAL SKILLS

● Languages : Python ( Keras, TensorFlow, scikit-learn, PyTorch, transformers, PySpark ), R, C/C++, MATLAB, Unix, JS, SQL

● Tools: Git, Markdown, Jupyter Notebook, LATEX, AWS, GCP, Docker, Hadoop, Spark, MLflow AWARDS & GRANTS

● Awarded Pilot Grant of £10000 by The Alan Turing Institute and The University of Exeter for research titled “An Integrated Data Science Pathway for Informed Drug Discovery in Motor Neurone Disease”.

● Won International NEUROHACK 2022, a 4-day competitive hackathon promoting brain health.

● Ranked 3rd in class (Bachelor’s degree, University of Delhi).

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