Agentic pipeline design
I build multi-step systems that retrieve context, call tools, validate outputs, and hand structured results back to real teams.
Data / AI / Healthcare / Agentic Systems
Building intelligent pipelines that turn complex data into trusted decisions.
I design agentic AI systems, retrieval workflows, predictive models, and production data platforms for healthcare and analytics teams, from messy source material to reliable downstream action.
7+ years across data, AI, and product engineering.
Current focusAgentic AI for data workflows
Production stackSnowflake, AWS ECS, Python, OpenAI
Domain edgeHealthcare, life sciences, and commercial data
Expertise
Applied AI, data systems, and healthcare analytics.
Work centered on agentic pipelines, retrieval, evaluation, and production data delivery, with a consistent focus on useful outcomes in complex domains.
Healthcare AI systems
My strongest domain is healthcare and life sciences: lab reports, claims, EHR, diagnostic signals, and precision medicine data products.
Retrieval, eval, and trust
I care about grounded answers, LLM-as-a-judge evaluation, quality control, and systems that can be trusted outside the notebook.
Production data platforms
I ship with Snowflake, AWS, ECS, SQL, and Python so the AI layer sits on top of data plumbing that is actually usable in production.
Experience
Career chapters shaped by systems, models, and delivery.
My path moves from enterprise product engineering into healthcare data science and now toward agentic AI delivery, where retrieval, evaluation, and production constraints all matter at once.
01
DataClaims, EHR, lab reports, commercial intelligence
02
RetrieveSearch, embed, normalize, and ground
03
ReasonAgent workflows, tool use, structured JSON outputs
04
EvaluateLLM-as-a-judge, QA loops, traceability
05
DeployAWS ECS, Snowflake, reporting, feedback loops
01Dec 2023 - Present
Current chapter
Data Scientist
Diaceutics PLC / Belfast, UK
Building production-grade agentic AI systems for healthcare data workflows, from extraction and retrieval to evaluation, reporting, and delivery.
Impact
- Built and deployed end-to-end LLM workflows across lab reports, claims, EHR, and commercial healthcare datasets.
- Delivered agentic pipelines with Python, LangChain, LangGraph, OpenAI, AWS ECS, and Snowflake-backed outputs.
- Reduced execution cost by about 60 percent while increasing cleaned-data volume by about 40 percent.
- Introduced LLM-as-a-judge quality control and structured JSON outputs for higher trust and better downstream usability.
Systems used
Representative work
Data Extraction AI Pipeline / Sales AI Pipeline / Diagnosis Events Detection / Affiliation Name RAG / Geneview
02Jul 2023 - Sep 2023
Modeling chapter
Data Analytics Intern
Diaceutics PLC / Belfast, UK
Worked on exploratory analysis, predictive modelling, and healthcare outcome analysis with a mix of classical ML and sequence models.
Impact
- Ran exploratory analysis and text-heavy healthcare data investigation for treatment and patient-outcome questions.
- Built models using Random Forest, XGBoost, AdaBoost, and bidirectional LSTM workflows.
- Achieved roughly 75 percent accuracy in treatment outcome analysis experiments.
Systems used
Representative work
Treatment outcome analysis / Predictive modelling / Patient record exploration
03Feb 2019 - Aug 2022
Product systems chapter
Product Engineer
Tata Consultancy Services - Digitate / Pune, India
Built enterprise AI-ops and AI-assurance product features, with a strong grounding in shipping software, monitoring systems, and operational reliability.
Impact
- Delivered product features for AI-driven IT operations, incident management, monitoring, and proactive issue resolution.
- Worked across JavaScript, Angular, Java, PostgreSQL, Python, Docker, Jenkins, Ansible, and HAProxy.
- Received the Star Employee Award and won first prize at the TCS Ideathon.
Systems used
Representative work
AI assurance / AIOps workflows / Monitoring and resolution features
Education
Academic grounding
MSc in Data Analytics
Queen's University Belfast / Belfast, UK
Graduated with Commendation. Focused on machine learning, predictive modelling, applied analytics, and practical data science.
BTech in Mechanical Engineering
KIET Group of Institutions / India
Graduated First Class. Early research centered on supply-chain optimization and inventory decision methods.
Credentials
Certifications
Publications
Research roots and recognition
Optimization of Inventory by Supplier Selection using TOPSIS Method
International Journal of Applied Engineering Research
Study and Optimization of Inventory in Supply Chain
International Journal of Research in Engineering
- Star Employee Award, TCS Digitate
- First Prize, TCS Ideathon
- Technical writing on AI systems, reasoning models, and evaluation workflows on Medium
Writing
Field notes, technical writing, and longer-form thinking.
Writing that explores system design, evaluation, reasoning models, and the practical tradeoffs behind shipping AI work.
Loading your latest articles...
Contact
Let's talk about the system behind the AI.
Whether it is a production agent workflow, a retrieval-heavy use case, or a healthcare analytics problem that needs structure, I'm happy to compare notes.