DATA SCIENTIST I AT MERCK GROUPPORTFOLIO / VOL. 026

Intelligence.
Engineered.

I turn complex problems into intelligent systems.
Built with purpose. Shipped with impact.

Shivji Agnihotri
Shivji AgnihotriBased in Bengaluru. Building for the world.
SCROLL TO DISCOVER AI SYSTEMS. REAL OUTCOMES. A LITTLE PLAY.
THE SHORT VERSION

Good engineering.
Measurable impact.

€1.2MBusiness cost savings
30M+Data records processed
80%Lower processing costs
3+Years building AI
01 / SELECTED WORK

From possibility
to production.

A few things I’ve built at the intersection
of intelligence, engineering, and impact.

02 / SAHITATKAL Live personal project
SahiTatkal homepage with train search, live rail tools, and AI search
BETTER JOURNEYS BEGIN HERE

Less booking friction.
More possibility.

A citizen-first reservation layer built around Indian Railways, with clearer seat discovery and a simpler path to your next journey.

AI searchRail reservationsTravel technology
Visit SahiTatkal
BUILT FOR REAL-WORLD IMPACTENTERPRISE & SELECTED SYSTEMS
02 / THE JOURNEY

Always learning.
Always building.

From building AI products across the stack to data science at Merck. Every chapter, a bigger challenge.

My full story on LinkedIn
AT MERCK SINCE APR 2025CURRENT

Merck Group

Data Scientist I

Data Scientist I

to Present

Full Stack Developer (AI)

to · 1 year 5 months

Selected work at Merck Group

  • Multi-agent supply chain intelligence across 30M+ records, saving approximately €1.2M in business costs.
  • Self-hosted document understanding with MLflow, vLLM, DeepSeek OCR V2, and Docling: ~80% lower processing cost and 74%+ cost avoidance versus the Mistral OCR API.
  • Conversational data agents using Claude Sonnet, turning plain English into database queries.
  • RAG over tabular metadata using Qdrant, plus brand sentiment intelligence across Reddit and the web.
OCT 2023 TO APR 2025BENGALURU, IN

Sangria by Dotkonnekt

AI / ML Engineer

  • Built Graph RAG recommendation endpoints with FastAPI and graph databases.
  • Automated backend testing with Playwright and Node.js, reducing manual QA by 60%.
  • Delivered production AI with LangFlow, Langfuse, LangGraph, and web scrapers.
  • Integrated Google Analytics and Search Console with Node.js and NestJS.
  • Trained tone and intent models from data collection through deployment in private infrastructure.
JUL 2023 TO OCT 2023BENGALURU, IN

Dotkonnekt

AI / ML Intern

  • Built question answering and summarization with Rasa, spaCy, and Hugging Face.
  • Researched ML models and implemented FastAPI endpoints.
  • Built resilient Python logging with Grafana monitoring.
  • Contributed to live data analysis and web scraping tools in Streamlit.
An interactive celestial garden of stars, nebulae, leaves, and honeybees. Hover or tap to reveal nearby details. Use arrow keys to move focus and Enter to hold it. ROOTS IN MAHARASHTRA
BUILDING IN BENGALURU
CURIOUS BY NATURE.
SCIENTIST BY PRACTICE.
03 / THE PERSON BEHIND THE CODE

Serious about the work.
Curious about everything.

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.

EDUCATIONB.E. Computer ScienceSSPACE Wardha · RTM Nagpur University
2019 to 2023
BASED INBengaluru, IndiaThinking globally.
Building thoughtfully.

A toolkit for real problems.

/01

Intelligence

Palantir AIP · AI FDE
AIP Logic · AIP Analyst
AIP Evals · Ontology

/02

Engineering

Python · JavaScript · SQL
FastAPI · Flask · Node.js
Express · NestJS

/03

Infrastructure

AWS · GCP · Azure
Docker · GitHub Actions
Jenkins · Grafana

/04

Data & retrieval

Qdrant · Weaviate · Neo4j
PostgreSQL · MongoDB
Redis · DynamoDB

PUBLISHED RESEARCH / IJRASET · MAY 2023

Seeing possibilities. Improving accessibility.

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.

↗
NEVER DONE LEARNINGCredentials & continuing education20 credentials

Learning AWS for Developers

LinkedIn Learning · Jun 2026

Hands-On Generative AI with Multi-Agent LangChain

LinkedIn Learning · Nov 2024

Google Cloud Big Data and Machine Learning Fundamentals

Coursera · Oct 2023

Machine Learning for All

Coursera · Oct 2023

Foundations of Data Science

Coursera · Sep 2023

Generative AI with Large Language Models

Coursera · Sep 2023

Career Essentials in Data Analysis

Microsoft & LinkedIn · Jul 2023

Career Essentials in Generative AI

Microsoft & LinkedIn · Jul 2023

Introduction to Artificial Intelligence

LinkedIn Learning · Jul 2023

Introduction to Prompt Engineering for Generative AI

LinkedIn Learning · May 2023

Prompt Engineering: How to Talk to the AIs

LinkedIn Learning · May 2023

Statistics Foundations 2: Probability

LinkedIn Learning · Feb 2023

Artificial Intelligence Foundations: Thinking Machines

LinkedIn Learning · Feb 2023

Machine Learning

Internshala · Dec 2022

Microsoft Certified: Azure Fundamentals

Microsoft · Dec 2022

Learning Data Analytics: Foundations

LinkedIn Learning · Oct 2022

Microsoft Certified: Azure AI Fundamentals

Microsoft · Sep 2022

Data Science: 101

IBM · Sep 2022

Git and Version Control

Nasscom Foundation · Sep 2022

Statistics Foundations 1: The Basics

LinkedIn Learning · Aug 2022

View credentials on LinkedIn ↗

Earlier education: Higher Secondary Certificate, CBSE · Kendriya Vidyalaya WCL New Majri, Maharashtra · 2018–2019.

04 / AI ENGINEERING

The thinking behind
the systems.

A few big ideas, made a little more tangible.
Follow the flow. Explore what makes them work.

RETRIEVAL-AUGMENTED GENERATIONCONCEPT MAP / 01

Good answers start with
the right context.

Documents become searchable chunks. A question retrieves relevant passages, then an LLM uses that context to compose an answer with sources.

THE ENGINEERING DETAIL

Retrieval quality matters as much as generation. Check relevance, preserve citations, and allow an honest “I don't know.”

Explore more ideas, free books, and courses in the Learning Garden

05 / OFF THE CLOCK. IN THE GAME.

A different kind
of playground.

Two original 3D worlds. Built for your browser.
Step away from the scroll. Step into the action.

Actual gameplay: a sunlit rooftop course above a historic cityEXPERIENCE 01FIRST-PERSON PARKOUR
THE CITY IS YOUR CANVAS

Rooftop Protocol

Chase the horizon. Leap between rooftops, find six signals, and reach the extraction beacon above a sunlit city.

Inspired by the freedom of Assassin’s Creed.
Actual gameplay: first-person combat in an industrial districtEXPERIENCE 02FIRST-PERSON COMBAT
HOLD YOUR GROUND

Resistance Zero

An occupied industrial district. Three waves of hostile drones. Use cover, watch your ammo, and take back the sector.

Inspired by the urban combat of Freedom Fighters.
REAL-TIME 3D · NO INSTALL REQUIREDMouse + keyboard or touch controls · Sound is optional
06 / WHAT’S NEXT? Open to meaningful opportunities

Have something
in mind?↗

Let’s make it something that matters.

Rooftop Protocol

EXPERIENCE 01 / PARKOUR

The horizon
is yours.

Follow the amber beacons across six rooftops. Sprint, double jump, and reach extraction. A missed leap returns you to your last checkpoint.

Mouse to look · Esc to pause · Your best result stays on this device.