Kaushik Jaiswal

AI Researcher

Bengaluru, Karnataka, India7 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable AI systems.
  • Proven track record in healthcare ML initiatives.
  • Strong leadership in mentoring and project management.
Stackforce AI infers this person is a Healthcare-focused Machine Learning Engineer with expertise in AI and NLP.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Natural Language Processing (nlp)

Other Skills

ABSAAWS SageMakerAWS SagemakerAirflowAlgorithmsBERT (Language Model)Business UnderstandingC++Computer VisionConvolutional Neural Networks (CNN)Data PreparationData ScienceData StructuresData VisualizationDeep Learning

About

Currently exploring frontier AI ideas in stealth, while also open to impactful ML/AI roles where I can scale these innovations/learnings from building with greater resources.

Experience

7 yrs 1 mo
Total Experience
1 yr 4 mos
Average Tenure
--
Current Experience

Stealth ai startup

Engineering

Oct 2025Present · 8 mos · Bangalore Urban, Karnataka, India · On-site

  • Experimenting & Building scalable AI stack for Scientific, Healthcare and Financial Documents
MLOpsData PreparationStatistical AnalysisBusiness UnderstandingHuggingFaceTransformers+7

Ema unlimited

Senior Machine Learning Engineer

Mar 2025Sep 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

Tune ai

Senior Machine Learning Engineer

Aug 2024Mar 2025 · 7 mos · San Francisco Bay Area · Hybrid

Natural Language Processing (NLP)Machine LearningLarge Language Models (LLM)Multimodal Prompting

Optum

2 roles

Data Scientist - III (Applied AI Team)

Promoted

Apr 2023Aug 2024 · 1 yr 4 mos · Mumbai, Maharashtra, India · Hybrid

  • Responsible for multiple ML development initiatives for clinical document information extraction and understanding with a focus on boosting the overall performance and accuracy of the ML pipeline.
  • Current roles and responsibilities include:
  • ♦️ Leading and Managing initiatives in building Document Understanding (NLP/CV), LLM, and CoreML-based models and monitoring pipelines to enhance overall performance and efficiency of the overall pipeline.
  • ♦️ Collaborate with SMEs and business stakeholders to obtain an understanding of the underlying business problem, and to define and refine the corresponding technical solutions.
  • ♦️ Collaborating with & mentoring interns, data scientists & engineers to deliver key components to the product - from preparing proposal documents, chalking out experiment plans, data sampling and annotation strategies, and selecting deployment and monitoring frameworks to build scalable ML systems.
  • ♦️ Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome by enforcing rigorous coding standards and ML best practices through code review and brainstorming.
  • ♦️ Led a pod of 2 Data Scientists responsible for NLP, Computer Vision, and LLM-based experimentation and developments to improve the overall ML pipeline.
Convolutional Neural Networks (CNN)HuggingFaceBusiness UnderstandingTransformersLarge Language Models (LLM)Python (Programming Language)+19

Data Scientist - II (Applied AI Team)

Feb 2023Mar 2023 · 1 mo · Mumbai, Maharashtra, India · Hybrid

Episource

4 roles

Data Scientist - II (Applied ML Team)

Apr 2022Jan 2023 · 9 mos

Data Scientist - I

Promoted

Apr 2021Mar 2022 · 11 mos

  • ♟ National Provider Information from Clinical Charts
  • ✷ Proposed to develop a ML engine, replacing the existing rule-based system.
  • ✷ Responsible for end-to-end development and productionization of the component: Ideation, Data Collection & Annotations, Training & Validation, Deployment, and Monitoring.
  • ✷ Revamped the codebase with the latest style guidelines, docstrings, pre-commit hooks, and type annotations using Python OOPs best practices.
  • ✷ Added robust unit and integration test-suite for the model and API.
  • ✷ Created and wrapped the model pipeline for batch inference using FastAPI and a GPU-based Docker image to containerize it at scale on AWS server.
  • ✷ Deployment of the model resulted in ~90%+ consistent accuracy. It is running successfully in production, processing millions of medical records.
  • ✷ Tools Used: Python, SpaCy, Pytest, Docker, FastAPI, AWS Sagemaker, Weights & Biases, Grafana
PythonSpaCyPytestDockerFastAPIAWS Sagemaker+1

Associate Data Scientist

Jul 2020Apr 2021 · 9 mos

  • ♟ Negation detection pipeline for Clinical text
  • ✷ Experimented with ABSA using different BERT Embeddings(BioBERT) and Medical Embeddings(PubMed) for context-based ICD DX code negation.
  • ✷ Created a Dependency parser and MST-based Negation engine.
  • ✷ Deploying the module resulted in a ~2% drop in the false positive count across clinical entities in the pipeline.
  • ✷ Tools Used: Python, SpaCy, Tree-based Algorithms, ABSA.
  • ♟ Encounter Classification
  • ✷ Worked on performing multiple POCs using Traditional ML and Transformer based algorithms to classify Medical Encounter boundaries which help in eliminating 2-3% of False-positive across the pipeline.
  • ✷ Experimented with Multiple models like GBDTs, PubMed, and BioBERT Transformer.
  • ✷ Experimented with different feature engineering methods and text chunking methods to improve the baseline accuracy.
  • ✷ Tools Used: Python, Pytorch, Scikit-learn, Pandas, Matplotlib.
PythonSpaCyTree-based AlgorithmsABSANatural Language Processing (NLP)

Data Science Intern

Jan 2020Jun 2020 · 5 mos

  • Experimented with different approaches to create a spell checker for our clinical NER pipeline.
  • Trained multiple NER models using different frameworks like spaCy, Stanza, AllenAI, and Flair using our in-house annotated medical records to benchmark performance on different clinical entities.

Crio.do

Student Developer CSoD'19

May 2019Jul 2019 · 2 mos · Remote

  • Built a distributed system backend for the food order platform, QEats, with Java Spring Boot, MongoDB, Redis, RabbitMQ.

Intermedia research group

Deep Learning Lead

Jan 2019Jan 2020 · 1 yr · LNMIIT JAIPUR

Acm, association for computing machinery

Technical Team Lead

Oct 2017Jan 2020 · 2 yrs 3 mos · Jaipur Area, India

Education

The LNM Institute of Information Technology

Bachelor's degree — Computer Science

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