Hardik Srivastava

Applied Scientist, JPMorgan Chase

technical.hardik29@gmail.com

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About

I am an Applied Scientist in the Investment Banking line of business at JPMorgan Chase, where I am currently conducting fundamental research on the theory and science of Gradient Boosting and Semi-Supervised Graph models in Fraud Intelligence. I previously earned my Bachelors in Computer Science with a specialization in Big Data, graduating from SRMIST in 2023. My research interests are ML/DL and Natural Language Processing and my interest topics include Probabilistic Reasoning, Sequence Models, Human-Centered AI, HCI, Causality, and Explainability. During my Bachelors, I have worked on Applied NLP at Samsung Research and the Accessible Computing Lab at McGill University.

I am enthusiastically open to collaboration on exciting research that drives innovation. If you're interested in working together or have opportunities available, please feel free to reach out to me!

Skills

Software Practices

Data Structures & Algorithms
Distributed Systems
Fine-Tuning
Model Governance

Machine Learning & AI

Probabilistic Reasoning
Natural Language Processing
Graph Modeling
Ranking & Recommendation

Tools & Technologies

Python
SQL
Scikit-Learn
PyTorch
TensorFlow
Caffe

Big Data

Hadoop
Spark
Kafka
ZooKeeper
Splunk

Backend Dev

Microservices
FastAPI
Spring Boot
Flask

Cloud Platforms

AWS
Docker
K8S
MLFlow
Jenkins

News

Publications

Multi-Modal Sentiment Analysis Using Text and Audio for Customer Support Centers

Hardik Srivastava, Sneha Sunil, K. Shantha Kumari, P. Kanmani

ICACTCE'23: International Conference on Advances in Communication Technology and Computer Engineering

Decision Support Complaint Prioritization System using a Statistical Multi-Method Algorithmic approach

Hardik Srivastava, Mayank Jha, T. Karthick

B.Tech Thesis, SRM 2023

Neural Text Style Transfer with Custom Language Styles for Personalized Communication Systems

Hardik Srivastava, Sneha Sunil, K. Shantha Kumari

ICKECS'22: International Conference on Knowledge Engineering and Communication Systems

Automatic Screening and Staging of Multi-Stage Diabetic Retinopathy using Deep Learning techniques

Hardik Srivastava, T. Rajalakshmi

Preprint

Using NLP Techniques for Enhancing Augmentative and Alternative Communication Applications

Hardik Srivastava

IJREAM'21: International Journal for Research in Engineering Application & Management

Multi-Modal Sentiment Analysis Using Text and Audio for Customer Support Centers

Hardik Srivastava, Sneha Sunil, K. Shantha Kumari, P. Kanmani

ICACTCE'23: International Conference on Advances in Communication Technology and Computer Engineering

Decision Support Complaint Prioritization System using a Statistical Multi-Method Algorithmic approach

Hardik Srivastava, Mayank Jha, T. Karthick

B.Tech Thesis, SRM 2023

Neural Text Style Transfer with Custom Language Styles for Personalized Communication Systems

Hardik Srivastava, Sneha Sunil, K. Shantha Kumari

ICKECS'22: International Conference on Knowledge Engineering and Communication Systems

Automatic Screening and Staging of Multi-Stage Diabetic Retinopathy using Deep Learning techniques

Hardik Srivastava, T. Rajalakshmi

Preprint

Using NLP Techniques for Enhancing Augmentative and Alternative Communication Applications

Hardik Srivastava

IJREAM'21: International Journal for Research in Engineering Application & Management

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.

  • JPMorgan Chase & Co. June 2023 - Present
    Applied Scientist
    Fraud Intelligence and Probalistic Reasoning
  • JPMorgan Chase & Co. 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 Electronics Jan-June 2022
    Machine Learning Engineer - Intern
    Samsung Bixby's search optimization using NLP modeling
  • 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 2019 - 2023
    B.Tech Student
    Computer Science Engineering with a specialization in Big Data Analytics