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Akkikens/README.md

Akshay Kalapgar
Typing SVG



        


 



I build at the intersection of infrastructure, AI, and product.

Not the kind of engineer who picks a lane — the kind who builds the lane, instruments it,
and ships the product that drives on it. From Kubernetes watchers to voice-powered AI coaching,
from genomics platforms to multi-agent RL systems, I've spent my career proving that
the best engineers are the ones who care about the whole stack.



   Now — Building the Future of Career Coaching


Goldi — AI Career Coaching  |  Climb Together

   

Goldi is an AI career coach that actually listens. I'm the #1 contributor, building across the entire surface area:

Voice Mode — Emotional intelligence powered by Hume AI with smart interruption handling. The AI doesn't just respond — it reads tone, paces itself, and adapts.

Walmart Partnership — Custom onboarding flows for career archetypes (Explorer, Directed, Networker), tailored to one of the world's largest employers.

WhatsApp + SMS System — Consent and accountability messaging that drove +28% re-engagement. Not a notification — a conversation.

Playlist Architecture — URL-driven, multi-playlist system with race condition fixes and navigation caching that simply works.



   Previously — Where I Shipped


Multi-Agent RL Platform  |  Softmax

Open-source research platform for multi-agent reinforcement learning. I owned the infrastructure and platform layer:

    Observability — Datadog + OpenTelemetry pipeline. Metric emission, OTLP receivers, structured collectors replacing legacy SQLite.

    Kubernetes — Watcher service for job lifecycle events. Helm deploy fixes.

    Terraform IaC — Lambda, Secrets Manager, IAM for GitHub webhooks.

    CI/CD — Cancelled-run cleanup, failure classification (timeout / OOM / policy_error), keep-main-green automation.

    Database — Alembic migrations over PostgreSQL + SQLModel ORM for a 21-table schema.



Genomics AI Platform  |  UMass Chan Medical School

Led the complete frontend rebuild of a genomics AI platform used by researchers. Performance was the product:


  Metric Impact
FCP First Contentful Paint -40%
API Response Latency -55%
Cold Lambda Cold Starts -50%
SLA Service Uptime 99.9%
QA Tests Written 500+


   Earlier Career — Capgemini (BMW) · tag8 · KPMG

    Full stack engineering across enterprise consulting and product startups. Built the foundation
    in distributed systems, frontend architecture, and shipping under constraints.



   Impact at a Glance

 +28%  User Re-engagement      ████████████████████████████░░░░░░░░░░░░░░░░░░  Goldi
 -50%  Lambda Cold Starts      ██████████████████████████████████████████████░  Factorbook
 -55%  API Latency             ████████████████████████████████████████████░░░  Factorbook
 -40%  First Contentful Paint  ██████████████████████████████████████░░░░░░░░░  Factorbook
99.9%  Service Uptime          ██████████████████████████████████████████████░  Metta + Factorbook
 500+  Tests Written           ██████████████████████████████████████████████░  Factorbook
  21   DB Tables Migrated      █████████████████████░░░░░░░░░░░░░░░░░░░░░░░░░  Metta

   Tech Stack

Languages & Frameworks



Infrastructure & Cloud



AI & Machine Learning

         



Observability

     


   GitHub


   

 




Building something interesting? Let's talk.

I'm always down to jam on infra architecture, AI product design,
or why observability is the most underrated superpower in engineering.


     



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