Hardik Srivastava

About

I am a Masters in Data Science student at the University of Washington at Seattle, WA and am currently working as a Graduate Research Associate under Prof. Zaid Harchaoui. My research focuses on authorship obfuscation spanning areas like controllable text rewriting, algorithmic design for constrained decoding, and lightweight parameter-efficient model adaptation. With 2+ years of experience as an Applied Scientist at JPMorgan Chase, I have expertise in designing scalable fraud detection, NLP, and Graph-ML systems with a strong focus on Semi-Supervised learning, Contrastive Learning, Computational Linguistics, and xAI. I have a proven track record in delivering production ML systems at scale, and have published work in ACL, IEEE and other venues, with research spanning controllable text generation, multimodal NLP, and fairness-aware AI.

Previously, at JPMC, I led efforts in conducting fundamental research on the theory and science of Gradient Boosting and Semi-Supervised Graph ML models in the Payments Fraud Prevention team to capture anomalies in transactional networks. My work spanned across building Computational Linguistics, Entity Resolution (Record Linkage) models for Sanctions Screening, and Ranking-based models (Learning-to-Rank) for resource-efficient KYC systems and scalable MLOps — using tools like Spark, MLflow, and AWS to productionize experimental models. I've also prototyped Fraud pipelines using Transformer-based Encoders & Decoders for Check OCR systems, and built internal benchmarks using Self-Supervised Contrastive Pre-Training.

I graduated with a B.Tech in Computer Science from SRM Institute of Science and Technology in 2023, with a specialization in Big Data. During my undergrad, I pursued research internships in Applied NLP at Samsung Research where I worked on the quantization of a Word Disambiguation model for Samsung Bixby, and in Human-Centered AI at the Accessible Computing Lab (ACT), McGill University, where my efforts were aligned towards AAC-based research.

I am passionate about building ML systems that are rigorous, reproducible, and grounded in theory, while being engineered for deployment at scale. I'm particularly interested in working with professors focused on explainable ML, efficient GNNs, transformer-based models, or fairness and accountability in AI.

Let's connect if you're building something at the intersection of learning, reasoning, and responsible AI.

Research Interests

My core research interests lie at the intersection of Computational Linguistics, Natural Language Processing, Semantic Modeling, Human-Computer Interaction, Human-Centered AI, Causality, and Explainability. I focus on designing NLP systems that are interactive, explainable, and adaptable to diverse user needs—especially in contexts like Augmentative and Alternative Communication (AAC), Accessible Computing, and Assistive Language technologies. I'm currently seeking Research Assistantship opportunities where I hope to contribute to cutting-edge work in the areas of:

• Sequence modeling for low-resource and interactive language generation
• Human-Centered AI and HCI for high-stakes decision-making
• Graph representation learning and Dynamic Networks
• Contrastive and Self-Supervised learning for multimodal inputs
• Probabilistic reasoning and causal inference
• Human-in-the-loop NLP and user-adaptive systems

News

09/2025
I am starting a new position as a Graduate Research Associate 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

Auto-Explainability and Evaluation of LLMs
Enable interpretability and auto-evaluation of LLMs using Integrated Gradients

AI-Powered Child-Labor Prevention Platform
Statistical multi-method models to prioritize complaints by weighted-ranking

No-Code Algo-Trading Portfolio Manager
Using Hybrid Recommendation Models to minimize Risk and Shortfall in Algo-Trading

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
  Constrained Decoding and Lightweight Parameter-efficient Model Adaptation 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