Senior Data Scientist

Engineering Intelligence.
Scaling Insights.

Jeet S. Swadia — specializing in Generative AI, Agentic Systems, and Predictive Modeling. Building responsible, production-grade AI systems at scale for Fortune 500 clients.

View Projects View Experience
5+ Years Experience Azure Expert Responsible AI

01 / Overview

At a Glance

With over 5 years of experience, I own the end-to-end delivery of high-impact AI and data science solutions for Fortune 500 clients in regulated healthcare and insurance environments.

My core focus is building Generative AI and agentic AI systems — with deep expertise in Azure platforms, LLM fine-tuning, and Responsible AI, ensuring fairness, transparency, and compliance.

I hold an M.S. in Electrical and Computer Engineering and a B.Tech. in Electrical Engineering, combining robust engineering fundamentals with strategic consulting capabilities to translate ambiguous business problems into measurable, AI-driven solutions.

See full work history →
5+
Years of Experience
J&J · MetLife · TCS
GenAI
Core Specialisation
Agentic · RAG · LLMs
Azure
Cloud Platform Expert
OpenAI · Synapse · DevOps
RAI
Responsible AI
Fairness · Explainability

02 / Capabilities

Tech Stack

Technologies I use to build production AI systems.

⌬ Generative AI & LLMs
Azure OpenAI OpenAI API Hugging Face LLM fine-tuning (LoRA/QLoRA) LangChain / LlamaIndex RAG Architectures Vector DBs (FAISS, Pinecone) Agentic AI Systems
◈ ML & Predictive Modeling
XGBoost LightGBM scikit-learn PyTorch / TensorFlow Bayesian Modeling A/B Experimentation Statistical Analysis
☁ Cloud & MLOps
Azure ML Azure DevOps / AKS AWS (S3, EC2, SageMaker) Docker / Kubernetes CI/CD (GitHub Actions) MLflow Model Monitoring
⟁ Data Engineering
PySpark Databricks Azure Synapse / ADF Delta Lake Airflow Large-scale ETL
{ } Languages
Python SQL Java SparkSQL
⚙ Consulting & Responsible AI
SHAP/LIME Explainability Fairness & Bias Assessment Strategic AI Advisory Executive Stakeholder Engagement Compliance Guardrails
Proficiency: Expert/Core Proficient

03 / Career

Professional Experience

Senior Data Scientist – GenAI, Agentic AI & Strategic Consulting
MetLife (IBSE Model, Team Gatekeepers)
May 2025 – Dec 2025
  • Owned end-to-end delivery of a high-impact AI solution for a Fortune 500 insurance client; collaborated with business stakeholders to define the problem, assessed risks, and delivered a production agentic AI system automating clinical document analysis for life insurance underwriting.
  • Designed and implemented Generative AI applications integrating Azure OpenAI, Hugging Face Transformers, and LangChain; applied prompt engineering, LoRA/QLoRA fine-tuning, and RAG architectures to build context-aware multimodal document understanding pipelines.
  • Built and deployed predictive and prescriptive ML models (XGBoost, LightGBM) with calibrated probability outputs; implemented SHAP/LIME-based explainability and compliance guardrails ensuring Responsible AI principles across fairness, transparency, and regulatory audit requirements.
  • Integrated RLHF/DPO human feedback loops to align LLM outputs with domain expert expectations; built evaluation harnesses tracking model accuracy, safety, latency, and cost across all production workflows.
  • Deployed production AI solutions on Azure (ML, OpenAI, AKS, DevOps) with full CI/CD, model monitoring, drift detection, and automated retraining; reduced manual underwriting effort by 40% through reliable, scalable AI delivery.
Generative AIAgentic AIAzure OpenAILangChainResponsible AI
Lead Data Scientist – Strategic AI Consulting
Johnson & Johnson (Voyager Metrics Portal)
May 2024 – Apr 2025
  • Led end-to-end delivery of an enterprise AI analytics platform for a Fortune 500 healthcare client as primary data science and consulting lead; defined business problem, designed solution architecture, developed project roadmap, and managed delivery across a 9-person cross-functional team.
  • Built and deployed scalable ML data pipelines on PySpark and Databricks integrating 50+ data sources; engineered systematic optimizations delivering 38% throughput improvement and maintained production reliability throughout.
  • Presented strategic AI recommendations, performance metrics, and business impact analyses to Finance Directors and C-suite stakeholders; acted as trusted advisor translating data science findings into strategic decisions.
  • Promoted Responsible AI practices: data governance, audit logging, access controls, and model transparency across all platform components; mentored engineers on ethical AI development standards.
PySparkDatabricksStrategic ConsultingData Governance
Senior Data Engineer – AI-Ready Data Infrastructure
Johnson & Johnson (Kenvue Platform Migration)
Aug 2022 – Feb 2024
  • Architected PySpark ETL pipelines migrating 40+ regulated healthcare datasets to Databricks Lakehouse; implemented data quality validation, schema governance, audit logging, and compliance controls supporting downstream ML model training.
  • Led cross-continent Agile team of 17+ engineers; enforced software engineering lifecycle best practices including version control, testing, code review, CI/CD, and production deployment standards.
PySparkDatabricks LakehouseETLCI/CD
Software Engineer
Tata Consultancy Services
Feb 2022 – Dec 2025
  • Built scalable Java and Oracle Database solutions; contributed to Agile cross-functional delivery teams.
  • Earned AWS Solutions Architect certification, expanding foundational cloud knowledge and system design capabilities.
JavaOracle DatabaseAWSAgile
Research Engineer – Applied AI & Statistical Modeling
Binghamton University
Jul 2020 – Jan 2022
  • Conducted applied research on Reinforcement Learning and Deep Neural Networks for autonomous systems on AWS; designed statistical experiments, built evaluation benchmarks, and communicated findings to academic and applied audiences.
Deep Neural NetworksReinforcement LearningAWS

04 / Credentials

Education & Certifications

01
Master of Science
Electrical & Computer Engineering
Binghamton University, NY
Aug 2019 – May 2021
  • GPA: 3.4/4.0
  • Reinforcement Learning, Detection Theory
  • Game Theory, Control Systems, Network Security
02
Bachelor of Technology
Electrical Engineering
Nirma University, Ahmedabad, India
Jul 2015 – May 2019
  • CGPA: 7.3/10
  • Robust foundation in engineering systems and logic.
03
Industry
Professional Certifications
Cloud & ML Architecture
Earned Accreditations
  • Azure Data Engineer Associate (May 2023)
  • AWS Solutions Architect (Aug 2022)
  • TensorFlow Developer, Google (Jan 2021)

05 / Work

Projects

★ Research
Real-time CNN Detection System

Built a real-time CNN-based detection system on video data. Designed robust data pipelines and comprehensive model evaluation frameworks, successfully achieving a 74% detection efficiency.

OpenCVTensorFlowPythonComputer Vision
// Independent Project
★ Featured
AI Mentorship Academy (AI.M. Academy)

An educational initiative designed to provide AI literacy to students in general. The academy offers structured pathways to demystify machine learning and generative AI for future innovators.

AI EducationLLMsCurriculum Design
info@aimacademy.us

06 / Contact

Let's Connect

I am based in Boston, MA and currently open to discussing new opportunities to build scalable, secure AI systems and drive strategic data initiatives.

Whether you're exploring a collaboration, looking for a technical leader in LLM architecture, or want to discuss Responsible AI implementations — my inbox is open.

swadiajeet@gmail.com

(838) 333-0802

or find me on