researchengineer.ing
MS in Research Engineering
Self-Directed Program
researchengineer.ing
001
/ 300 days
Day001Active
2 · 26 · 26
February 26, 2026
The day the contract takes effect

The Binding Contract

From February 26, 2026 to December 23, 2026, I am committing to a self-directed MS in Research Engineering. This period is not about chasing intensity. It is about learning how to think carefully, build reliably, and stay honest about what I understand and what I do not.
The goal is not topic coverage for its own sake. The goal is to develop research judgment: how to ask better questions, how to separate signal from noise, and how to connect theory, code, and evidence without self-deception.
I will not rely on motivation as a planning strategy. I will rely on routines that make it possible to work on ordinary days, difficult days, and distracted days. Consistency is the mechanism that makes progress visible over time.
I will treat this program as a designed system. When something breaks, I will not frame it as a character flaw. I will inspect the process, adjust constraints, and continue.
I will use methods that improve retention and transfer: active recall, spaced repetition, interleaving, and deliberate error analysis. If I cannot retrieve or apply an idea, I will treat it as not-yet-learned rather than assumed knowledge.
I will hold high standards without romanticizing burnout. Sleep, health, and recovery are part of the program, because sustained attention is the foundation of rigorous work.
· · · · ·
The Operating System
Atomic Habits
Make starting frictionless. Make quitting inconvenient. Attach work to stable cues. Use immediate feedback.
Deep Work
Attention is the scarce asset. Defend uninterrupted focus as non-negotiable.
Change by Design
Treat transformation like product design: prototype, test, iterate based on evidence.
Cognitive Science
Active recall, spaced repetition, interleaving, and sleep as consolidation.
The Irreducible Loop
Grasp → Question → Formulate → Build → Validate → Extend → Ship
Every build starts with a question. Every question deserves a rigorous answer.
40%
AI/ML Research
30%
Research Eng
20%
Software Eng
10%
Data Science
Operating Doctrines
Identity
A practitioner who keeps learning in public and stays accountable to the work.
Research Taste
Spend more time on important questions and less time on performative complexity.
Original Thinking
Use reproductions to build grounding, then extend with small but meaningful ideas.
Standard
Prefer clarity over theater: explicit assumptions, reproducible steps, and honest limitations.
Learning
Treat confusion as information, and let implementation reveal conceptual gaps.
System
When consistency drops, refine process design before judging outcomes.
Recovery
Protect cognitive quality so effort compounds over months, not days.
Proof
Leave a clean, reviewable trail of artifacts that reflects real progress.
The Numbers
300
Days
30
Sub-milestones
3
Phases
December 23, 2026 — Graduation Day
The intended outcome is a calmer and stronger capability profile: clearer thinking, faster implementation, better experimental discipline, and more honest communication. The emphasis is not on appearing advanced. It is on becoming dependable.
A consistent daily artifact trailReproductions with clear failure analysisMeasured experiments with reproducible settingsNotes that improve future decisionsSmall extensions that show independent thoughtA portfolio that can be reviewed by strangers
Signed by
Prabakaran Chandran
Research Engineer (in training)
MS Data Science, Columbia
February 26, 2026
Witnessed by
researchengineer.ing
The builds are the transcript
The portfolio is the thesis
Day 001 / 300
What matters most is showing up consistently, working with care, and documenting what is true.
Contract active — learning in progress