Round 4 prep book

This is a rehearsal notebook for Adarsh Vishwakarma. Read it as yourself, not as an interviewer. R1 was 13 Aug 2026. R2 was 18 Aug 2026. R3 is done. This folder is the leftover hour only. Live Code is Java. Job 10454435 still has no public write-up that names a live-round question. Other people’s prompts show what a leftover hour can look like. They are not a list for this Job ID.

How to use this book

Each card has the same spine. What they might ask is the prompt. What you say is the spoken answer. They might ask next is a Q&A table on the same story. Keep straight is which fact lives on which product. Tighten is how to stop.

What they might ask

Tell me about yourself.
Walk me through your resume.
A Leadership Principle, or a leftover-hour prompt other candidates wrote down.

This page is the map. Spoken intros live in chapter 2. Stories live in chapter 3.

What you say

I am Adarsh Vishwakarma. I finish a B.Tech in CSE at CUSAT in May 2026 (CGPA 8.42). I am currently a Software Developer Intern at IQVIA in Kochi, April 2026 to present, on two FastAPI systems: LangGraph Deep Research across 200+ websites, and Hybrid RAG on 200+ page BRDs with Azure AI Search, GraphDB, and LangSmith. Before that, at Ylogx from November 2024 to October 2025 I shipped production BI: reports, SQL RAG, three-tier RLS, Redis, and AWS. Earlier, from February to June 2024, I was core software on Team Horizon’s ROS2 rover, 17th of 80+ at ERC 2024. I can go deep on IQVIA retrieval, Ylogx isolation, or Horizon’s live costmap. Which do you want?

They might ask next

If they ask	You answer
What do you do right now?	IQVIA intern, Kochi, two systems, then stop. Current role is not an LP dump.
What did you own versus the team?	Name the module: LangGraph routing and traces at IQVIA; RLS + Redis at Ylogx; GStreamer / ZED / costmap software at Horizon. Placement 17th is we.
They paste code after an LP-only invite	Write Java. Other loops were told LP-only and still got DSA (LC 7406809, 6806195). That is shape evidence, not a forecast.

Keep straight

One spoken answer, one project. Do not list StratifyLabs, GiftedBooks, and Argus in the intro unless they pick a project.
Internships used Python, TypeScript, and ROS2. Live Code is Java. Those internships are not Spring or Kafka services.
Do not announce “this is the Bar Raiser.” Do the hour in front of you.

Tighten

Read 1 then 2. Use 3–8 when the hour needs that topic. The older 25-chapter notebook is a companion. It still talks as if Round 3 is upcoming. Use this folder for Round 4.

Who you are in this loop

Facts you can say once. You do not need to repeat the Job ID or the language split in every later answer.

Loop

OA is not a round. Live R1 13 Aug 2026. Live R2 18 Aug 2026. R3 done. This book is Round 4.

Room

Zoom + Amazon Live Code. Language in the editor: Java.

This Job ID

10454435 still has no public named live-round question. Unnamed stays unnamed.

Title

Every work row is intern. Architected on the resume still unpacks into modules you implemented.

Three internships — a timeline, not a ranking

You had three internships at three times. Each job is a different product. You do not need to argue which one “wins.” If they ask which intern ran longest in production, answer with the dates: Ylogx, November 2024 to October 2025.

What they might ask

Walk me through your internships.
Why three internships?
What is your current role?

IE-asked current role (GFG 2025 leftover hour, other loop). Resume-derived timeline.

What you say

Horizon was February to June 2024: rover software under an ERC date that does not move. Ylogx was November 2024 to October 2025: a year of production BI — reports, SQL RAG, three-tier isolation in Postgres, Redis, AWS. IQVIA is April 2026 to present, Kochi: my current role, retrieval and evals on Deep Research and Hybrid RAG.

They might ask next

Internship	When	What it was	What you owned	What you did not own
Team Horizon	Feb 2024 – Jun 2024 · Kochi	ROS2 rover software for ERC 2024	GStreamer 60 FPS, ZED 2 mapping, costmap fusion	Team-lead title; rover hardware design; 17th place as a solo result
Ylogx Private Limited	Nov 2024 – Oct 2025 · remote	Full-stack AI business intelligence	Report builder, LangChain SQL RAG, RLS/RBAC, Redis, dashboards, ECS/ALB/CloudFront	A named SRE on-call title; Kafka; EKS; JVM/Spring
IQVIA	Apr 2026 – present · Kochi	Current role: research + Hybrid RAG	LangGraph orchestration, ranking, GraphDB hops, LangSmith fail-if-no-span	Building Azure AI Search itself; an IQVIA latency or uptime percent (none on the resume)

Keep straight

Dates do not overlap. Horizon ends June 2024. Ylogx starts November 2024. IQVIA starts April 2026 after Ylogx ends October 2025.
Horizon is a competition rover, not a SaaS internship.
Ylogx chatbot is LangChain SQL RAG. LangGraph and LangSmith are IQVIA.
99.9% and sub-210 ms are Ylogx. IQVIA has no extra percent.

Tighten

Stop after the three jobs unless they pick one door. Do not add StratifyLabs, GiftedBooks, and Argus onto this timeline unless they ask for projects.

Which story for which Leadership Principle

A leftover hour usually goes deep on a few stories, not sixteen posters. If they name a principle, use the primary. If they already heard that project, use the backup. A backup is a second story, not a fourth trophy on the same intern.

Leadership Principle	Speak first	If they already heard that project
Customer Obsession	GiftedBooks RAG + PYQ, hours → 3–10 min	Ylogx SQL RAG +65%
Ownership	Ylogx three-tier RLS + 99.9%	Horizon GStreamer + costmap
Invent and Simplify	IQVIA Hybrid RAG	StratifyLabs −30% + marketplace 50+
Are Right, A Lot	Argus 73% → 89% mAP	Ylogx measured bot-DB −35%
Learn and Be Curious	IQVIA LangGraph Deep Research	Horizon ROS2 + GStreamer + ZED 2
Hire and Develop the Best	IEDC CUSAT Tech Team (member)	Horizon pairing until someone else can launch
Insist on the Highest Standards	Argus 89% mAP + 24 FPS before scale	Ylogx 99.9% / sub-210 ms dashboards
Think Big	StratifyLabs marketplace + 3D lab	IQVIA 200+ sites (backup only)
Bias for Action	Horizon ERC date, fusion on sensors we had	Eight named hackathons
Frugality	Ylogx Redis −35% vs bigger RDS	Horizon fusion vs extra hardware
Earn Trust	GiftedBooks grounded RAG + 99.5%	Ylogx 3-tier RLS
Dive Deep	Ylogx Redis and RLS together	IQVIA ranking contradiction
Have Backbone; Disagree and Commit	IQVIA hybrid vs vector-only, then commit on evals	Ylogx RLS-in-database vs app-only WHERE
Deliver Results	Horizon ERC 17th / 80+	Ylogx 40% faster reports + 99.9%
Strive to be Earth’s Best Employer	Horizon knowledge sharing	IEDC pairing
Success and Scale	Argus 20+ cameras after 89% / 24 FPS	Ylogx ALB/ECS with RLS already on

Keep straight

Ylogx primaries: Ownership, Frugality, Dive Deep. IQVIA: Invent, Learn, Backbone. Argus: Are Right, Highest Standards, Success and Scale. Horizon: Bias for Action, Deliver Results, Earth’s Best Employer. GiftedBooks: Customer, Earn Trust. StratifyLabs: Think Big. IEDC: Hire and Develop.
If they do not name a principle: Dive Deep (Ylogx Redis + RLS), then Deliver (Horizon 17th). Third: GiftedBooks 3–10 min.

Tighten

Do not recite sixteen LP names. Full spoken STARs are in chapter 3.

Which number belongs where

A leftover hour often asks why a metric exists. Mixing two products in one sentence is how the story falls apart. This table is a lookup, not a speech.

Keep apart	Why
Horizon 60 FPS and Argus 24 FPS	60 is the rover camera pipeline. 24 is the PPE detector budget.
StratifyLabs −30%	ML iteration time in the browser. Not a camera rate.
Argus mAP and −50% / 2×	mAP is held-out detector quality. Violations and compliance are after alerts existed.
Horizon +40% / −55%	Rover obstacle and collision. Not Argus.
Ylogx −35% and sub-210 ms	−35% is bot database latency via Redis. sub-210 ms is dashboard serving with no LLM on that GET.
Ylogx +65%, 40%, +60%	SQL RAG productivity, report-builder speed, dashboard ops. Three families.
Ylogx 99.9% and GiftedBooks 99.5%	Different products.
GiftedBooks sub-300 ms and Ylogx sub-210 ms	Different APIs.
IQVIA 200+ sites and 200+ page BRDs	Deep Research coverage versus Hybrid RAG document size.
GraphDB and LangGraph	GraphDB stores requirement dependencies. LangGraph is workflow state.
73% mAP	Not a shippable alert. Gate is 89% mAP and 24 FPS, then 20+ cameras.

If they open GitHub

Resume wins when a README disagrees. Label the mismatch in the first sentence, then speak the Aug 2026 PDF. Forks (firecrawl, care-fe, litestar, …) are not internships.

Repo	What it is today	What you speak
`giftedbooks-ai`	README currently describes AegisAI	GiftedBooks VR + PDF RAG from the resume. Would fix the README.
`StratifyLabs`	Default Next.js README	stratifylabs.design: browser inference −30%, marketplace 50+, URDF/WebGL.
`valAgent`	GitHub ETL validator	Adjacent to IQVIA habits. Not an IQVIA resume bullet. No 200+ merge.
`warpflow`	UI workflow canvas	Ylogx-adjacent experiment. Not the intern BI story.
`karyanode`	Local-first agent	GitHub only. No invented user counts.
InstaRecon / PhiSiFi	Off-resume security demo	Consent, no production attacks, then redirect. Not an LP.

Tighten

Do not volunteer InstaRecon. Login Tracker (new_login / get_oldest_login) is unverified — do not volunteer it as this Job ID.

Chapters in order

Chapter	Use it for
Home	This page. Timeline, LP map, numbers.
1. This round	What leftover hours contained. Recruiter mail can be wrong. HM versus Bar Raiser.
2. Hour	60-minute spine, 90-second intro, questions for them.
3. Stories	Sixteen Leadership Principles, spoken.
4. Questions	Named leftover prompts mapped to one answer each.
5. Projects	How each system actually works.
6. Coding	Java families that showed up in later slots.
7. GenAI & CS	Verify, do not worship. Threads, transactions, networks.
8. Keep straight	GitHub mismatches, I versus we, practice stories that are not yours.
9. LP list	Every unique Leadership Principle question, once. Click → Q&A on answers A (Customer–Frugality) or B (Earn Trust–Scale).
10. Behavioral	Why Amazon, intro, live issues, GenAI habits, questions for them. Not a second STAR dump.
11. Resume mock	PDF-open questions: imprecise percents, listed vs shipped skills, GitHub mismatches, 20-second bullets.
12. ConvBI	Ylogx intern BI codebase: Nest + React + FastAPI SQL RAG, RLS, dashboards, ECS. Same intern row, not a second company.
ConvBI LP drill	Expand/collapse STAR + nested follow-ups for ConvBI only. Primary LPs Ownership / Frugality / Dive Deep. Shipped vs understand vs would-do.

Companion: older 25-chapter notebook · research bible · study book.