Hardik Srivastava

About

I am a Masters in Data Science student at the University of Washington and a Graduate Research Assistant at the Paul G. Allen School of Computer Science & Engineering, advised by Prof. Zaid Harchaoui. My current research sits at the intersection of Generative AI, privacy, and controllability. I'm working on the mechanics of style-aware text rewriting and stylistic perturbation for authorship obfuscation. I develop controllable Transformer-based systems using attribution-guided modeling to isolate specific linguistic features in text. This involves training lightweight, parameter-efficient adapters (LoRA) to capture distinct stylistic dimensions, and applying constrained decoding algorithms at inference time to steer LLM generation, under strict privacy-fidelity constraints.

Prior to UW, I spent over two years as an Applied Scientist at JPMorgan Chase, where I led applied research and deployment of Gradient Boosting and Semi-Supervised Graph ML models within the Payments Fraud Prevention team. By capturing complex anomalies in transactional networks, I engineered solutions that prevented over $220M in fraud annually.

My work spanned architecting Named Entity Recognition systems for Address verification, Entity Resolution (Record Linkage) models for Sanctions Screening, and Learning-to-Rank models for resource-efficient KYC systems—leveraging tools like Spark, MLflow/MLServing, Kubernetes and AWS to productionize these pipelines at massive scale. Furthermore, I designed and productionized multi-modal Fraud pipelines using Contrastively Pre-Trained Transformers (ViT Encoders & BERT-based decoders) for OCR-based Check Fraud prevention.

My foundational research experience includes shipping word-sense disambiguation models in produciton for Samsung Bixby assistant at Samsung Research, and conducting research in Human-Centered AI and multimodal NLP at the Accessible Computing Lab (ACT) at McGill University.

I am passionate about building AI systems that are rigorous, reproducible, and grounded in theory, while being explicitly engineered for deployment at enterprise scale.

Let's connect if your team is building something at the intersection of learning, reasoning, and trustworthy AI.

Research Interests

My core research interests lie at the the intersection of Natural Language Processing, Generative AI, Graph Representation Learning, Human-AI Interaction, Causality, and Trustworthy ML. I focus on designing language and multimodal systems that are interactive, explainable, and adaptable to diverse user needs, and capable of operating reliably in high-stakes environments.

• Sequence modeling for low-resource and interactive language generation
• Agentic Systems & Reasoning
• Human-Centered AI and HCI for high-stakes decision-making
• Trustworthy AI & Explainability
• Human-in-the-loop NLP and user-adaptive systems

News

11/2025
Secured 3rd place at the UW x Databricks Hackathon 2025 held at Seattle, WA. We built KeyCognition - an ML system that predicts cognitive load from keystroke dynamics by using fine-grained keystroke features.
09/2025
I am starting a new position as a Graduate Research Assistant at UW under Prof. Zaid Harchaoui
08/2025
I have joined the University of Washington at Seattle, WA as a Masters in Data Science student
09/2024
Secured the 1st Place at JPMC ScaleUP Challenge 2024 for Protection Group Code Prediction for Classified Data Columns using BERT-based Active Learning
08/2024
Delivered a session on how we leverage Hybrid Recommendation models for minimizing risk in my Algo-Trading Platform based solution at JPMorgan's Innovation Week 2024
11/2023
Cleared the AWS Cloud Practitioner and AWS Machine Learning Speciality certifications
09/2023
Our paper Multi-Modal Sentiment Analysis Using Text and Audio for Customer Support Centers has been accepted by ICACTCE 2023.
06/2023
I am starting a new position as Applied Scientist at JPMorgan Chase.
04/2023
My Undergraduate thesis Decision Support Complaint Prioritization System using a Statistical Multi-Method Algorithmic approach has been accepted and the preprint is availble
08/2022
Our paper Neural Text Style Transfer with Custom Language Styles for Personalized Communication Systems has been accepted to ICKECS 2023.
10/2022
We have won the 1st place of SRM Hack2Leap Hackathon 2022.
08/2022
We have won the 1st place of Smart India Hackathon 2022.
06/2022
I started a new position as a Research Intern at ACT Lab, McGill University via the Mitacs Globalink Research Internship to extend my work on Human-Computer Interaction and AAC Systems.
05/2021
Our proposal for a Real-Time Video Stablization and Deblurring software toolkit has been accepted with a grant of $21500 by Defence Research and Development Organization, Govt. of India.
05/2021
Our paper Using NLP Techniques for Enhancing Augmentative and Alternative Communication Applications has been accepted by IJREAM
01/2021
I started a new position as an Undergraduate Research Assistant under Dr. T Rajalakshmi at the Biomedical Engineering department, SRM.

Publications

• Selected
• All

Projects

KeyCognition - Predicting Cognitive Load using Keystrokes
An AI system that predicts cognitive load purely from keystroke dynamics by using fine-grained keystroke features like dwell time, flight time, pauses, and error patterns in real-time.

Auto-Explainability and Evaluation of LLMs
Enabled interpretability and auto-evaluation of LLMs by developing a framework for Transformer Explainability that visualizes prediction attributions using Integrated Gradients

AI-Powered Child-Labor Prevention Platform
Grievance redressal platform that leverages multi-method statistical models to re-rank grievances for efficient prioritization using weighted-ranking

No-Code Algo-Trading Portfolio Manager
Platform to create/execute trades using a No-Code Drag-and-Drop UI. Powered by a Domain-specifc language framework that internally builds a trading algorithm powered by hybrid recommendation models to minimize the risk and shortfall for a specifc trade

Meta Kaggle Forum Posts Clustering
Clustering Meta Kaggle forum posts for insigts using Heirarchical Clustering + Fine-tuned Word2Vec to include Kaggle-specifc OOV words

Articles

MLOps 101 — Machine Learning Workflow Orchestration using TensorFlow Extended
Deploying Machine Learning workloads efficiently in Production using TFX

A/B Testing in Data Science
Learning how to let the customer do the talking, without actually talking.

Vitæ

Here is my Resume.

• University of Washington September 2025 - Present

  Graduate Research Assistant
  Privacy-Preserving Text Generation in LLMs
• University of Washington September 2025 - Present

  MS Student
  Masters in Data Science
• JPMorgan Chase May - Aug 2025

  Applied Scientist II
  Fraud Prevention, Graph ML and Contrastive Pre-Training
• JPMorgan Chase June 2023 - May 2025

  Applied Scientist
  Fraud Intelligence and Probalistic Reasoning
• JPMorgan Chase. Feb - June 2023

  Software Engineer Intern - AI/ML
  Search Software and Semi-Supervised Ranking
• McGill University June - Sept 2022

  Research Intern
  NLP/HCI at Accessible Computing Lab
• Samsung Global Research Jan - June 2022

  Machine Learning Engineer - Intern
  Samsung Bixby's search optimization using Quantization-Aware Training
• Inventuers Sept - Nov 2023

  Founder & Tech Lead
  Co-founded and released Curae, a platform to strealine healtcare services
• DRDO, Govt. of India Aug - Nov 2021

  Research Intern
  Video Stabalization and Denoising for Long-Range Camera-feeds in Military Drones
• SoftSensor.ai Apr - Oct 2021

  Data Scientist Intern
  Pattern Recognition in Whole Slide Imaging (Lymphoma)
• SRM University Jan - July 2021

  Undergraduate Research Assistant
  Predictive Modeling for Diabetic Retinopathy detection
• SRM University May 2019 - June 2023

  B.Tech Student
  Computer Science Engineering with a specialization in Big Data Analytics