Small wishes.
Meaningful connections.
A little help showing up for the people who matter. Relationship graphs and AI make every birthday wish feel personal.
I turn complex problems into intelligent systems.
Built with purpose. Shipped with impact.
Good engineering.
Measurable impact.
A few things I’ve built at the intersection
of intelligence,
engineering, and impact.
A little help showing up for the people who matter. Relationship graphs and AI make every birthday wish feel personal.
A citizen-first reservation layer built around Indian Railways, with clearer seat discovery and a simpler path to your next journey.
A multi-agent supply chain assistant that turns complex enterprise data into real-time answers and saves €1.2M in time and opportunity costs.
A self-hosted vision pipeline that makes document processing more practical, with approximately 80% lower operational costs.
From building AI products across the stack to data science at Merck. Every chapter, a bigger challenge.
My full story on LinkedInData Scientist I
to Present
to · 1 year 5 months
Selected work at Merck Group
AI / ML Engineer
AI / ML Intern
I’m Shivji, a Data Scientist I at Merck Group. I turn interesting ideas into intelligent systems people actually use.
Before moving into my current role in September 2026, I spent 1 year and 5 months as a Full Stack Developer (AI) at Merck. My work spans agents, language models, search, and data infrastructure, with a focus on making complex things useful and reliable.
Outside the production pipeline, I make things just to see what’s possible. Like the browser games a little further down this page.
Palantir AIP · AI FDE
AIP Logic · AIP Analyst
AIP Evals · Ontology
Python · JavaScript · SQL
FastAPI · Flask · Node.js
Express
· NestJS
AWS · GCP · Azure
Docker · GitHub Actions
Jenkins ·
Grafana
Qdrant · Weaviate · Neo4j
PostgreSQL · MongoDB
Redis ·
DynamoDB
VISION AI: a deep learning object recognition system for visually impaired people, using YOLOv7, TensorFlow, and OpenCV. Trained on the COCO dataset to make real-time visual assistance more accessible.
LinkedIn Learning · Jun 2026
LinkedIn Learning · Nov 2024
Coursera · Oct 2023
Coursera · Oct 2023
Coursera · Sep 2023
Coursera · Sep 2023
Microsoft & LinkedIn · Jul 2023
Microsoft & LinkedIn · Jul 2023
LinkedIn Learning · Jul 2023
LinkedIn Learning · May 2023
LinkedIn Learning · May 2023
LinkedIn Learning · Feb 2023
LinkedIn Learning · Feb 2023
Internshala · Dec 2022
Microsoft · Dec 2022
LinkedIn Learning · Oct 2022
Microsoft · Sep 2022
IBM · Sep 2022
Nasscom Foundation · Sep 2022
LinkedIn Learning · Aug 2022
Earlier education: Higher Secondary Certificate, CBSE · Kendriya Vidyalaya WCL New Majri, Maharashtra · 2018–2019.
A few big ideas, made a little more tangible.
Follow the flow. Explore what makes them work.
Documents become searchable chunks. A question retrieves relevant passages, then an LLM uses that context to compose an answer with sources.
Retrieval quality matters as much as generation. Check relevance, preserve citations, and allow an honest “I don't know.”
Text becomes tokens. Transformer layers combine attention with learned transformations, producing a distribution over possible next tokens. Generation repeats this step.
A likely next token is not a verified fact. Grounding, evaluation, and clear boundaries turn fluent output into a useful product.
A model learns patterns from training examples. Separate validation data guides choices, and a held-out test set estimates how well the model generalizes.
Prevent data leakage and compare with a simple baseline. After deployment, watch for drift as real-world data changes.
Reusable interaction patterns connect model behavior to human intent: clear inputs, source previews, uncertainty states, and controls to review or correct an answer.
Design for the imperfect answer. Make recovery easy, keep people in control, and use feedback to improve the experience.
Explore more ideas, free books, and courses in the Learning Garden
Two original 3D worlds. Built for your browser.
Step away
from the scroll. Step into the action.
EXPERIENCE 01FIRST-PERSON PARKOUR
Chase the horizon. Leap between rooftops, find six signals, and reach the extraction beacon above a sunlit city.
EXPERIENCE 02FIRST-PERSON COMBAT
An occupied industrial district. Three waves of hostile drones. Use cover, watch your ammo, and take back the sector.
Let’s make it something that matters.
shivjiagnihotri@outlook.com