MISSION BOARD · AKHIL KOTAPurdue CS + DSFounding Engineer
Engineering · Data · Product · Research

I build products wheresignals become decisions.

I'm Akhil Kota, a Purdue Computer Science + Data Science student (4.0 GPA), founding engineer at Mutually, and researcher in Prabhakar Lab. My work sits where product intuition and measurable behavior meet.

PRODUCT LOOP

Ship quickly, instrument behavior, tune the experience.

DATA LOOP

Turn activity into structured signals that drive decisions.

RESEARCH LOOP

Build reliable pipelines for noisy, real-world datasets.

NOTEBOOK SIGNALS

Code, product, and research pinned to one board.

LIVE SIGNALSengineering · data · research

Systems

Founding engineer at Mutually

Data

CS + Data Science at Purdue

Product

Flow, StudyBuddy, ClassClear

Signals

Microscopy + Spotify patterns

NOW

Founding engineer on Mutually's first production release.

LAB

Microscopy segmentation + tracking in Prabhakar Lab.

THREAD

Product quality improves when data and UX are designed together.

NARRATIVE NODE 01

Startups

Mutually and Flow: product + infrastructure in live environments.

NARRATIVE NODE 02

Research

Microscopy analysis pipelines where reproducibility matters.

NARRATIVE NODE 03

Data Products

Dashboards and ranking systems built around real decisions.

NARRATIVE NODE 04

Teaching

Systems-level coaching as CS 240 TA improves engineering clarity.

CHAPTER 02 · SELECTED WORK

Work that ships, measures, and compounds.

View full work archive

FLAGSHIP

Mutually · ranked event discovery engine

Built core product loops from event creation and RSVPs to ranking signals that adapt to changing inventory and user behavior.

React NativeSupabasePostgreSQLRanking pipelines

PRODUCT ENGINEERING

Flow

Auth, onboarding, and analytics loops for rider and driver behavior.

RESEARCH

Prabhakar Lab

Microscopy segmentation + tracking transformed into queryable data.

PROJECT

StudyBuddy

Study planner that converts vague intent into measurable sessions.

PROJECT

ClassClear

Syllabus ingestion into structured timelines and requirements.

CHAPTER 03 · RESEARCH

Microscopy as a systems problem.

I treat microscopy sequences like data streams: clean inputs, reliable segmentation, consistent tracking, and analyzable labels.

AcquireSegment + TrackLabel + Analyze

01

ingest microscopy time-series data

02

segment and track with model-assisted pipelines

03

export labels for reproducible analysis

CHAPTER 05 · ABOUT + TIMELINE

One story across coursework, startups, and labs.

I care about systems where product quality and data quality evolve together. The roles below are different surfaces of that same habit.

Read full background story

Purdue University · Computer Science + Data Science

Founding Engineer · Mutually

Software Engineer · Flow

Undergraduate Research · Prabhakar Lab

CS 240 Teaching Assistant

Data Science Researcher · Cisco x DataMine