NEELAKANDAN N C · MARK XIV
000%

MARK XIV · BUILD IN PROGRESS

STILL IN THE CAVE

Final-year ECE at NIT Agartala. I build AI agents, trading systems, and research pipelines. Fourteen builds in three years. Most of them taught me something. Some of them worked.

02 / HALL OF ARMOR

Fourteen suits in three years.

Every project is a Mark. The failures are on the wall next to the wins, because leaving them off would make the wins mean less.

03 / SYSTEMS DIAGNOSTIC

Subsystems, honestly rated.

A row of 95%-filled bars is the least credible thing on a portfolio. The low readings below are the reason you can trust the high ones.

POWER SYSTEMS

AI AGENTS & LLM ORCHESTRATION

  • Google ADK / multi-agentPRIMARY
    Google ADK / multi-agent: PRIMARY, 80 percent
  • RAG + retrievalOPERATIONAL
    RAG + retrieval: OPERATIONAL, 67 percent
  • LLM fine-tuning (QLoRA)OPERATIONAL
    LLM fine-tuning (QLoRA): OPERATIONAL, 53 percent
  • MCP / agent infraPRIMARY
    MCP / agent infra: PRIMARY, 73 percent
  • Gradient boosting ensemblesPRIMARY
    Gradient boosting ensembles: PRIMARY, 73 percent

TARGETING

FINANCE & ECONOMICS

  • Fundamental / equity researchOPERATIONAL
    Fundamental / equity research: OPERATIONAL, 67 percent
  • Personal financePRIMARY
    Personal finance: PRIMARY, 73 percent
  • Venture & startup economicsOPERATIONAL
    Venture & startup economics: OPERATIONAL, 60 percent
  • Macro & market structureDEVELOPING
    Macro & market structure: DEVELOPING, 47 percent

AIRFRAME

ENGINEERING

  • PythonPRIMARY
    Python: PRIMARY, 80 percent
  • React / Next / TailwindOPERATIONAL
    React / Next / Tailwind: OPERATIONAL, 60 percent
  • FastAPI / PostgresOPERATIONAL
    FastAPI / Postgres: OPERATIONAL, 60 percent
  • DSADEVELOPING
    DSA: DEVELOPING, 47 percent

04 / CAVE · POWER UNSTABLE

The first suit gets built in a cave. With a box of scraps.

Everybody remembers the flying. Nobody remembers that the first one couldn’t land.

So here’s the honest version.

I’m running four things at once right now. A startup with a deadline I set myself. Campus placements. Building in public. Content. I don’t know which one works. I’m not going to pretend I do.

What I do know is this: in three years I’ve shipped fourteen builds — flower delivery, hospital compliance, clinical triage, equity research, autonomous research pipelines, Postgres tooling, agent infrastructure. Some placed in national competitions. Some got merged into other people’s repos. Some died quietly and deserved to.

People will tell you that’s unfocused. I’ve decided it isn’t. It’s a search — and I’m running it in public, and I’m running it fast, because the only way I find out which one is the real suit is to build all of them.

I’m confused. I know I’m confused. I’m doing it anyway.

That’s who I am.

Mark XV is next.

05 / CURRENT BUILD

What’s powered on right now.

MARK XIV · AGENTRONICS

ACTIVE

WebMCP infrastructure — auth, observability, memory, and context management for AI agents interacting with websites.

BUILD PHASE
Infrastructure
CADENCE
Daily, alongside placements

MARK XV · IN FABRICATION

UNSTABLE

Currently deep in AI agents, LLM systems, and interview prep. Open to full-time and internship roles in AI/ML engineering.

GRADUATING
May 2027
SEEKING
AI/ML engineering

COMMS · CHANNEL OPEN

LET’S BUILD
SOMETHING

Open to AI/ML engineering roles. Also just open to talking.

MARK XIV · BUILT WITH NEXT.JS, FRAMER MOTION, AND AN UNREASONABLE AMOUNT OF COFFEE · © 2026